ChatGPT

AI is in pretty much everyone’s conversations right now, with people using it (successfully and unsuccessfully) for a vast range of different things. Let’s face it: we’ve got stars in our eyes when it comes to AI right now – but what’s it doing to one of the vast industries on our planet, the casino industry? How is it shaking up games from the core? Let’s find out! Many games are being totally revolutionised by AI stepping onto the scene, so let’s get into the nitty-gritty of which games are changing, what’s happening, and how AI is leaving its footprint on this world of online casino games! Personalisation in the slots First up: personalisation. AI really shines when it comes to personalising the slots, because an AI can analyse each player’s individual behaviour and start tailoring what the game shows to match. Imagine you’re playing at your favourite slot, and you get a bunch of free spins come up – but none of them are quite what you wanted and they’re just not doing it for you today. We all know that feeling of disappointment… and honestly, it gets directed at the company, because why don’t they know you better than that? Isn’t marketing meant to be good these days? Well, AI is changing all that and cutting the frustration that comes with it! It is capable of tracking what bonuses you use and what games you play (and even when and how you play them), and that means that suddenly, casinos can offer much more tailored options when you’re playing on the slots. Free spins for your favourite game ever, just as you sit down to relax on a Friday night? Yes, that’s much more likely now! Personalised bonus games? These are also creeping onto the scene, along with game features that are specifically honed to tick your “like” box and give you the best possible gaming experience. And it’s only because of AI that this is becoming possible – sure, casinos tried to offer this kind of personalisation in the past, but it was simply too much for humans to manage. Of course, you must have been playing the slots for a while for this to work; the AI is dependent on having historical data of how you play and when you play to bring up these offers. The longer you’ve been playing and the more consistent your patterns are, the better the AI will be able to come up with offers that are perfect for you. As this system improves, maybe we’ll see slots that are completely unique for each individual – it could happen! And as AI becomes increasingly accepted and legislation is put into place for it, we’re going to see more and more innovation in this space. Learning about bluffing in poker How do you teach a computer to bluff? We’re not going to pretend it’s easy; it’s proven a major challenge for those building AIs, getting a computer to mimic a human’s ability to deceive other players. However, we’re pretty much there, and AIs can now be incorporated into the online world of poker – one of the most popular casino games on the planet. So, first off, they have created an AI that’s good at poker; there’s been major progress in advancing how the absolute best AI can play, and it’s doing well. However, that’s not actually enough for casinos: they don’t want an AI that can beat human players every time, because who would ever play against that? They need an AI that can understand nuance, make mistakes occasionally, and lose – but in convincing ways that are still satisfying to play against. Now that’s a real challenge! But if they’re successful, there’s going to be big rewards: some people would much rather play against a computer than other humans, provided the computer makes a satisfying opponent. This is likely to be an ongoing process as the AIs master how to play in each context, but it already looks promising to us! Of course, there are wary about teaching computers how to lie effectively… after all, sci-fi books and films have shown us exactly why that could be a bad idea. For the casino industry, though, it’s looking tantalising. Conclusion AI isn’t “big” in most casino games yet, because it hasn’t had time to infiltrate them… but we’re likely to see it edging in from the fringes and changing more and more things about how we play and enjoy games online as the years come. It’s overly exciting to imagine how it might revolutionise classic games like poker, blackjack, roulette, the slots, and more. However, we’re just going to have to “wait and see” here, because AI is only just unfolding its metaphorical wings and starting to flap. The post AI in casino games: A whole new world waiting to be dealt appeared first on AI News. View the full article

Apple’s newly-announced partnership with OpenAI – which brings ChatGPT capabilities to iOS 18, iPadOS 18, and macOS Sequoia – comes without any direct money exchange. According to a Bloomberg report by Mark Gurman, “Apple isn’t paying OpenAI as part of the partnership.” Instead, the Cupertino-based company is leveraging its massive user base and device ecosystem as currency. “Apple believes pushing OpenAI’s brand and technology to hundreds of millions of its devices is of equal or greater value than monetary payments,” Gurman’s sources explained. Gurman notes that OpenAI could find a silver lining by encouraging Apple users to subscribe to ChatGPT Plus, priced at $20 per month. If subscribers sign up through Apple devices, the iPhone maker will likely even claim a commission. Apple’s AI strategy extends beyond OpenAI. The company is reportedly in talks to offer Google’s Gemini chatbot as an additional option later this year, signalling its intent to provide users with diverse AI experiences without necessarily having to make such major investments itself. (Image Credit: Apple) The long-term vision for Apple involves capturing a slice of the revenue generated from monetising chatbot results on its operating systems. This move anticipates a shift in user behaviour, with more people relying on AI assistants rather than traditional search engines like Google. While Apple’s AI plans are ambitious, challenges remain. The report highlights that the company has yet to secure a deal with a local ******** provider for chatbot features, though discussions with local firms like Baidu and Alibaba are underway. Initially, Apple Intelligence will be limited to US English, with expanded language support planned for the following year. The Apple-OpenAI deal represents a novel approach to collaboration in the AI space, where brand exposure and technological integration are valued as much as, if not more than, direct financial compensation. See also: Musk ends OpenAI lawsuit while slamming Apple’s ChatGPT plans Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Apple is reportedly getting free ChatGPT access appeared first on AI News. View the full article

Elon Musk has dropped his lawsuit against OpenAI, the company he co-founded in 2015. Court filings from the Superior Court of California reveal that Musk called off the legal action on June 11th, just a day before an informal conference was scheduled to discuss the discovery process. Musk had initially sued OpenAI in March 2024, alleging breach of contracts, unfair business practices, and ******** in fiduciary duty. He claimed that his contributions to the company were made “in exchange for and in reliance on promises that those assets were irrevocably dedicated to building AI for public benefit, with only safety as a countervailing concern.” The lawsuit sought remedies for “breach of contract, promissory estoppel, breach of fiduciary duty, unfair business practices, and accounting,” as well as specific performance, restitution, and damages. However, Musk’s filings to withdraw the case provided no explanation for abandoning the lawsuit. OpenAI had previously called Musk’s claims “incoherent” and that his inability to produce a contract made his breach claims difficult to prove, stating that documents provided by Musk “contradict his allegations as to the alleged terms of the agreement.” The withdrawal of the lawsuit comes at a time when Musk is strongly opposing Apple’s plans to integrate ChatGPT into its operating systems. During Apple’s keynote event announcing Apple Intelligence for iOS 18, iPadOS 18, and macOS Sequoia, Musk threatened to ban Apple devices from his companies, calling the integration “an unacceptable security violation.” Despite assurances from Apple and OpenAI that user data would only be shared with explicit consent and that interactions would be secure, Musk questioned Apple’s ability to ensure data security, stating, “Apple has no clue what’s actually going on once they hand your data over to OpenAI. They’re selling you down the river.” Since bringing the lawsuit against OpenAI, Musk has also created his own AI company, xAI, and secured over $6 billion in funding for his plans to advance the Grok chatbot on his social network, X. While Musk’s reasoning for dropping the OpenAI lawsuit ******** unclear, his actions suggest a potential shift in focus towards advancing his own AI endeavours while continuing to vocalise his criticism of OpenAI through social media rather than the courts. See also: DuckDuckGo releases portal giving private access to AI models Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Musk ends OpenAI lawsuit while slamming Apple’s ChatGPT plans appeared first on AI News. View the full article

In the ever-evolving digital landscape, where AI is rapidly transforming the way we interact and communicate, WebUtility’s ChatGPT Prompt Generator emerges as a game-changer. This innovative tool empowers users to harness the full potential of ChatGPT, one of the most advanced language models developed by OpenAI. At its core, the ChatGPT Prompt Generator is designed to simplify the process of crafting tailored prompts for ChatGPT. By leveraging the tool’s intuitive interface, users can effortlessly create prompts that align with their specific needs, whether they’re seeking assistance with customer support, content creation, or creative writing endeavors. ChatGPT prompt generator tool features and benefits The beauty of this tool ***** in its user-friendly approach. With just a few clicks, users can select the desired action, such as ‘Create’, ‘Explain’, ‘Analyse’ or ‘Write’, and then specify the focus area. This level of customization ensures that the generated prompts are contextually relevant and tailored to the user’s requirements. But the true power of the ChatGPT Prompt Generator extends beyond mere convenience. By automating the prompt creation process, the tool saves users valuable time and effort, enabling them to engage with ChatGPT in a more efficient and productive manner. Gone are the days of generic or irrelevant responses – every conversation is now tailored to the user’s specific needs. One of the standout features of this tool is its ability to understand natural language and adapt to various contexts. Powered by cutting-edge AI technology, the ChatGPT Prompt Generator ensures that the generated prompts are thoughtful, contextually appropriate, and designed to elicit meaningful responses from ChatGPT. Whether you’re a business professional seeking to streamline customer interactions, a content creator looking to generate engaging material, or a writer exploring new creative avenues, the ChatGPT Prompt Generator is your ultimate companion. By harnessing the power of AI, this tool empowers you to unlock the limitless potential of ChatGPT and elevate your conversations to new heights. For those seeking to explore the vast realm of AI tools further, the AI Tools Directory at AI Parabellum is a treasure trove of resources. This comprehensive directory curates a wide range of AI-powered tools, spanning various domains and applications, ensuring that users can find the perfect solution for their specific needs. Final words In the rapidly evolving world of AI, the WebUtiliy’s ChatGPT Prompt Generator stand as beacon of innovation, empowering users to harness the power of cutting-edge technology and unlock new realms of possibility. Embrace the future of AI-driven conversations. The post ChatGPT Prompt Generator: Unleashing the power of AI conversations appeared first on AI News. View the full article

DuckDuckGo has released a platform that allows users to interact with popular AI chatbots privately, ensuring that their data ******** secure and protected. The service, accessible at Duck.ai, is globally available and features a light and clean user interface. Users can choose from four AI models: two closed-source models and two open-source models. The closed-source models are OpenAI’s GPT-3.5 Turbo and Anthropic’s Claude 3 Haiku, while the open-source models are Meta’s Llama-3 70B and Mistral AI’s Mixtral 8x7b. What sets DuckDuckGo AI Chat apart is its commitment to user privacy. Neither DuckDuckGo nor the chatbot providers can use user data to train their models, ensuring that interactions remain private and anonymous. DuckDuckGo also strips away metadata, such as server or IP addresses, so that queries appear to originate from the company itself rather than individual users. The company has agreements in place with all model providers to ensure that any saved chats are completely deleted within 30 days, and that none of the chats made on the platform can be used to train or improve the models. This makes preserving privacy easier than changing the privacy settings for each service. In an era where online services are increasingly hungry for user data, DuckDuckGo’s AI Chat service is a breath of fresh air. The company’s commitment to privacy is a direct response to the growing concerns about data collection and usage in the AI industry. By providing a private and anonymous platform for users to interact with AI chatbots, DuckDuckGo is setting a new standard for the industry. DuckDuckGo’s AI service is free to use within a daily limit, and the company is considering launching a paid tier to reduce or eliminate these limits. The service is designed to be a complementary partner to its search engine, allowing users to switch between search and AI chat for a more comprehensive search experience. “We view AI Chat and search as two different but powerful tools to help you find what you’re looking for – especially when you’re exploring a new topic. You might be shopping or doing research for a project and are unsure how to get started. In situations like these, either AI Chat or Search could be good starting points.” the company explained. “If you start by asking a few questions in AI Chat, the answers may inspire traditional searches to track down reviews, prices, or other primary sources. If you start with Search, you may want to switch to AI Chat for follow-up queries to help make sense of what you’ve read, or for quick, direct answers to new questions that weren’t covered in the web pages you saw.” To accommodate that user workflow, DuckDuckGo has made AI Chat accessible through DuckDuckGo Private Search for quick access. The launch of DuckDuckGo AI Chat comes at a time when the AI industry is facing increasing scrutiny over data privacy and usage. The service is a welcome addition for privacy-conscious individuals, joining the recent launch of Venice AI by crypto entrepreneur Erik Voorhees. Venice AI features an uncensored AI chatbot and image generator that doesn’t require accounts and doesn’t retain data.. As the AI industry continues to evolve, it’s clear that privacy will remain a top concern for users. With the launch of DuckDuckGo AI Chat, the company is taking a significant step towards providing users with a private and secure platform for interacting with AI chatbots. See also: AI pioneers turn whistleblowers and demand safeguards Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post DuckDuckGo releases portal giving private access to AI models appeared first on AI News. View the full article

OpenAI is facing a wave of internal strife and external criticism over its practices and the potential risks posed by its technology. In May, several high-profile employees departed from the company, including Jan Leike, the former head of OpenAI’s “super alignment” efforts to ensure advanced AI systems remain aligned with human values. Leike’s exit came shortly after OpenAI unveiled its new flagship GPT-4o model, which it touted as “magical” at its Spring Update event. According to reports, Leike’s departure was driven by constant disagreements over security measures, monitoring practices, and the prioritisation of flashy product releases over safety considerations. Leike’s exit has opened a Pandora’s box for the AI firm. Former OpenAI board members have come forward with allegations of psychological ****** levelled against CEO Sam Altman and the company’s leadership. The growing internal turmoil at OpenAI coincides with mounting external concerns about the potential risks posed by generative AI technology like the company’s own language models. Critics have warned about the imminent existential threat of advanced AI surpassing human capabilities, as well as more immediate risks like job displacement and the weaponisation of AI for misinformation and manipulation campaigns. In response, a group of current and former employees from OpenAI, Anthropic, DeepMind, and other leading AI companies have penned an open letter addressing these risks. “We are current and former employees at frontier AI companies, and we believe in the potential of AI technology to deliver unprecedented benefits to humanity. We also understand the serious risks posed by these technologies,” the letter states. “These risks range from the further entrenchment of existing inequalities, to manipulation and misinformation, to the loss of control of autonomous AI systems potentially resulting in human extinction. AI companies themselves have acknowledged these risks, as have governments across the world, and other AI experts.” The letter, which has been signed by 13 employees and endorsed by AI pioneers Yoshua Bengio and Geoffrey Hinton, outlines four core demands aimed at protecting whistleblowers and fostering greater transparency and accountability around AI development: That companies will not enforce non-disparagement clauses or retaliate against employees for raising risk-related concerns. That companies will facilitate a verifiably anonymous process for employees to raise concerns to boards, regulators, and independent experts. That companies will support a culture of open criticism and allow employees to publicly share risk-related concerns, with appropriate protection of trade secrets. That companies will not retaliate against employees who share confidential risk-related information after other processes have *******. “They and others have bought into the ‘move fast and break things’ approach and that is the opposite of what is needed for technology this powerful and this poorly understood,” said Daniel Kokotajlo, a former OpenAI employee who left due to concerns over the company’s values and lack of responsibility. The demands come amid reports that OpenAI has forced departing employees to sign non-disclosure agreements preventing them from criticising the company or risk losing their vested equity. OpenAI CEO Sam Altman admitted being “embarrassed” by the situation but claimed the company had never actually clawed back anyone’s vested equity. As the AI revolution charges forward, the internal strife and whistleblower demands at OpenAI underscore the growing pains and unresolved ethical quandaries surrounding the technology. See also: OpenAI disrupts five covert influence operations Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post AI pioneers turn whistleblowers and demand safeguards appeared first on AI News. View the full article

Amazon will harness computer vision and AI to ensure customers receive products in pristine condition and further its sustainability efforts. The initiative – dubbed “Project P.I.” (short for “private investigator”) – operates within Amazon fulfilment centres across North America, where it will scan millions of products daily for defects. Project P.I. leverages generative AI and computer vision technologies to detect issues such as damaged products or incorrect colours and sizes before they reach customers. The AI model not only identifies defects but also helps uncover the root causes, enabling Amazon to implement preventative measures upstream. This system has proven highly effective in the sites where it has been deployed, accurately identifying product issues among the vast number of items processed each month. Before any item is dispatched, it passes through an imaging tunnel where Project P.I. evaluates its condition. If a defect is detected, the item is isolated and further investigated to determine if similar products are affected. Amazon associates review the flagged items and decide whether to resell them at a discount via Amazon’s Second Chance site, donate them, or find alternative uses. This technology aims to act as an extra pair of eyes, enhancing manual inspections at several North ********* fulfilment centres, with plans for expansion throughout 2024. Dharmesh Mehta, Amazon’s VP of Worldwide Selling Partner Services, said: “We want to get the experience right for customers every time they shop in our store. “By leveraging AI and product imaging within our operations facilities, we are able to efficiently detect potentially damaged products and address more of those issues before they ever reach a customer, which is a win for the customer, our selling partners, and the environment.” Project P.I. also plays a crucial role in Amazon’s sustainability initiatives. By preventing damaged or defective items from reaching customers, the system helps reduce unwanted returns, wasted packaging, and unnecessary carbon emissions from additional transportation. Kara Hurst, Amazon’s VP of Worldwide Sustainability, commented: “AI is helping Amazon ensure that we’re not just delighting customers with high-quality items, but we’re extending that customer obsession to our sustainability work by preventing less-than-perfect items from leaving our facilities, and helping us avoid unnecessary carbon emissions due to transportation, packaging, and other steps in the returns process.” In parallel, Amazon is utilising a generative AI system equipped with a Multi-Modal LLM (MLLM) to investigate the root causes of negative customer experiences. When defects reported by customers slip through initial checks, this system reviews customer feedback and analyses images from fulfilment centres to understand what went wrong. For example, if a customer receives the wrong size of a product, the system examines the product labels in fulfilment centre images to pinpoint the error. This technology is also beneficial for Amazon’s selling partners, especially the small and medium-sized businesses that make up over 60% of Amazon’s sales. By making defect data more accessible, Amazon helps these sellers rectify issues quickly and reduce future errors. (Photo by Andrew Stickelman) See also: X now permits AI-generated ****** content Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Amazon will use computer vision to spot defects before dispatch appeared first on AI News. View the full article

TickLab, founded by visionary CTO Yasir Albayati, is at the forefront of innovation in the financial sector, specialising in deploying advanced decentralised AI into finance. Our company operates as a quantitative hedge fund, focusing on crypto, stocks, and forex markets. With the launch of our cutting-edge Quantitative Decentralised AI Hedge Fund, we offer investors the unparalleled opportunity to capitalise on market movements at microsecond speed. At TickLab, we are committed to harnessing the power of our Quant Hedge Fund resources with just a single click. This ease of access ensures that our clients can seamlessly integrate our advanced financial tools into their investment strategies. A cornerstone of our innovation is E.D.I.T.H., an AI language model meticulously developed and trained by TickLab.IO. Unlike other AI models like ChatGPT, Bard, or Grok, E.D.I.T.H. is designed specifically for the finance and real estate industries. It provides comprehensive services including financial analysis, investment advice, portfolio management, market predictions, real estate insights, regulatory compliance, and risk management. Leveraging extensive financial and real estate data, E.D.I.T.H. delivers accurate and relevant information, making it an indispensable tool for professionals in these fields. Harnessing the Power of Machine Learning and Deep Learning At TickLab, our innovative approach is deeply rooted in the advanced capabilities of machine learning (ML) and deep learning (DL). Our quant hedge fund leverages these technologies to analyse vast amounts of data, identifying patterns and trends that are invisible to traditional financial analysis methods. By utilising sophisticated ML algorithms, we can predict market movements with high precision, allowing us to ******** trades at optimal times. Deep learning, a subset of ML, plays a crucial role in our data analysis and decision-making processes. Our deep learning models are designed to process complex data sets, learning from historical data to make informed predictions about future market behaviour. This enables us to create robust trading strategies that adapt to ever-changing market conditions. Artificial Intelligence: The Future of Finance Artificial Intelligence (AI) is the backbone of TickLab’s operations. Our AI systems are designed to perform tasks that traditionally require human intelligence, such as analysing market trends, managing portfolios, and providing investment advice. By automating these processes, we not only increase efficiency but also reduce the potential for human error. Our AI-driven approach extends beyond simple automation. We develop intelligent systems that continuously learn and improve, ensuring that our hedge fund stays ahead of the curve. This dynamic learning capability allows us to refine our strategies and maintain a competitive edge in the fast-paced world of finance. Connecting through Advanced APIs Our sophisticated API connects seamlessly to our quant auto-trading systems, ensuring that our clients can leverage the full potential of our AI-powered solutions. By integrating with our API, clients gain access to real-time data and analytics, enabling them to make informed investment decisions quickly and efficiently. This integration ensures that our advanced trading algorithms are accessible and easy to use, empowering investors to maximise their returns. At TickLab, we are not just keeping up with the future of finance; we are leading the way. Join us on this exciting journey and experience the future of investment and financial analysis today. Follow TickLab.IO on Twitter and visit their website to find out more. Done by XLAB Research. The post TickLab: Revolutionizing Finance with AI-Powered Quant Hedge Fund and E.D.I.T.H. appeared first on AI News. View the full article

Social media network X has updated its rules to formally permit users to share consensually-produced AI-generated NSFW content, provided it is clearly labelled. This change aligns with previous experiments under Elon Musk’s leadership, which involved hosting ****** content within specific communities. “We believe that users should be able to create, distribute, and consume material related to ******* themes as long as it is consensually produced and distributed. ******* expression, visual or written, can be a legitimate form of artistic expression,” X’s updated ‘****** content’ policy states. The policy further elaborates: “We believe in the autonomy of adults to engage with and create content that reflects their own beliefs, desires, and experiences, including those related to sexuality. We balance this freedom by restricting exposure to ****** content for children or ****** users who choose not to see it.” Users can mark their posts as containing sensitive media, ensuring that such content is restricted from users under 18 or those who haven’t provided their birth dates. While X’s violent content rules have similar guidelines, the platform maintains a strict stance against excessively gory content and depictions of ******* *********. Explicit threats or content inciting or glorifying ********* remain prohibited. X’s decision to allow graphic content is aimed at enabling users to participate in discussions about current events, including sharing relevant images and videos. Although X has never outright banned *****, these new clauses could pave the way for developing services centred around ****** content, potentially creating a competitor to services like OnlyFans and enhancing its revenue streams. This would further Musk’s vision of X becoming an “everything app,” similar to China’s WeChat. A 2022 Reuters report, citing internal company documents, indicated that approximately 13% of posts on the platform contained ****** content. This percentage has likely increased, especially with the proliferation of ***** bots on X. See also: Elon Musk’s xAI secures $6B to challenge OpenAI in AI race Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post X now permits AI-generated ****** content appeared first on AI News. View the full article

In the last three months, OpenAI has disrupted five covert influence operations (IO) that attempted to exploit the company’s models for deceptive activities online. As of May 2024, these campaigns have not shown a substantial increase in audience engagement or reach due to OpenAI’s services. OpenAI claims its commitment to designing AI models with safety in mind has often thwarted the threat actors’ attempts to generate desired content. Additionally, the company says AI tools have enhanced the efficiency of OpenAI’s investigations. Detailed threat reporting by distribution platforms and the open-source community has significantly contributed to combating IO. OpenAI is sharing these findings to promote information sharing and best practices among the broader community of stakeholders. Disrupting covert IO In the past three months, OpenAI disrupted several IO operations using its models for various tasks, such as generating short comments, creating fake social media profiles, conducting open-source research, debugging simple code, and translating texts. Specific operations disrupted include: Bad Grammar: A previously unreported operation from Russia targeting Ukraine, Moldova, the Baltic States, and the US. This group used OpenAI’s models to debug code for running a Telegram **** and to create political comments in Russian and English, posted on Telegram. Doppelganger: Another Russian operation generating comments in multiple languages on platforms like X and 9GAG, translating and editing articles, generating headlines, and converting news articles into Facebook posts. Spamouflage: A ******** network using OpenAI’s models for public social media activity research, generating texts in several languages, and debugging code for managing databases and websites. International Union of Virtual Media (IUVM): An Iranian operation generating and translating long-form articles, headlines, and website tags, published on a linked website. Zero Zeno: A commercial company in *******, with operations generating articles and comments posted across multiple platforms, including Instagram, Facebook, X, and affiliated websites. The content posted by these operations focused on various issues, including Russia’s invasion of Ukraine, the Gaza conflict, Indian elections, ********* and US politics, and criticisms of the ******** government. Despite these efforts, none of these operations showed a significant increase in audience engagement due to OpenAI’s models. Using Brookings’ Breakout Scale – which assesses the impact of covert IO – none of the five operations scored higher than a 2, indicating activity on multiple platforms but no breakout into authentic communities. Attacker trends Investigations into these influence operations revealed several trends: Content generation: Threat actors used OpenAI’s services to generate large volumes of text with fewer language errors than human operators could achieve alone. Mixing old and new: AI was used alongside traditional formats, such as manually written texts or copied memes. Faking engagement: Some networks generated replies to their own posts to create the appearance of engagement, although none managed to attract authentic engagement. Productivity gains: Threat actors used AI to enhance productivity, summarising social media posts and debugging code. Defensive trends OpenAI’s investigations benefited from industry sharing and open-source research. Defensive measures include: Defensive design: OpenAI’s safety systems imposed friction on threat actors, often preventing them from generating the desired content. AI-enhanced investigation: AI-powered tools improved the efficiency of detection and analysis, reducing investigation times from weeks or months to days. Distribution matters: IO content, like traditional content, must be distributed effectively to reach an audience. Despite their efforts, none of the disrupted operations managed substantial engagement. Importance of industry sharing: Sharing threat indicators with industry peers increased the impact of OpenAI’s disruptions. The company benefited from years of open-source analysis by the wider research community. The human element: Despite using AI, threat actors were prone to human error, such as publishing refusal messages from OpenAI’s models on their social media and websites. OpenAI says it ******** dedicated to developing safe and responsible AI. This involves designing models with safety in mind and proactively intervening against malicious use. While admitting that detecting and disrupting multi-platform abuses like covert influence operations is challenging, OpenAI claims it’s committed to mitigating the dangers. (Photo by Chris Yang) See also: EU launches office to implement AI Act and foster innovation Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post OpenAI disrupts five covert influence operations appeared first on AI News. View the full article

AI models are rapidly evolving, outpacing hardware capabilities, which presents an opportunity for Arm to innovate across the compute stack. Recently, Arm unveiled new chip blueprints and software tools aimed at enhancing smartphones’ ability to handle AI tasks more efficiently. But they didn’t stop there – Arm also implemented changes to how they deliver these blueprints, potentially accelerating adoption. Arm is evolving its solution offerings to maximise the benefits of leading process nodes. They announced the Arm Compute Subsystems (CSS) for Client, their latest cutting-edge compute solution tailored for AI applications in smartphones and PCs. This CSS for Client promises a significant performance leap – we’re talking over 30% increased compute and graphics performance, along with an impressive 59% faster AI inference for AI, machine learning, and computer vision workloads. While Arm’s technology powered the smartphone revolution, it’s also gaining traction in PCs and data centres, where energy efficiency is prized. Though smartphones remain Arm’s biggest market, supplying IP to rivals like Apple, Qualcomm, and MediaTek, the company is expanding its offerings. They’ve launched new CPU designs optimised for AI workloads and new GPUs, as well as software tools to ease the development of chatbots and other AI apps on Arm chips. But the real gamechanger is how these products are delivered. Historically, Arm provided specs or abstract designs that chipmakers had to translate into physical blueprints – an immense challenge arranging billions of transistors. For this latest offering, Arm collaborated with Samsung and TSMC to provide physical chip blueprints ready for manufacturing, which was a huge time saver. Samsung’s Jongwook Kye praised the partnership, stating their 3nm process combined with Arm’s CPU solutions meets soaring demand for generative AI in mobiles through “early and tight collaboration” in the areas of DTCO and PPA maximisation for an on-time silicon delivery that hit performance and efficiency demands. TSMC’s head of the ecosystem and alliance management division, Dan Kochpatcharin echoed this, calling the AI-optimised CSS “a prime example” of Arm-TSMC collaboration helping designers push semiconductor innovation’s boundaries for unmatched AI performance and efficiency. “Together with Arm and our Open Innovation Platform® (OIP) ecosystem partners, we empower our customers to accelerate their AI innovation using the most advanced process technologies and design solutions,” Kochpatcharin emphasised. Arm isn’t trying to compete with customers, but rather enable faster time-to-market by providing optimised designs for neural processors delivering cutting-edge AI performance. As Arm’s Chris Bergey said, “We’re combining a platform where these accelerators can be very tightly coupled” to customer NPUs. Essentially, Arm provides more refined, “baked” designs customers can integrate with their own accelerators to rapidly develop powerful AI-driven chips and devices. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Arm unveils new AI designs and software for smartphones appeared first on AI News. View the full article

Dell is deeply embedded in the AI landscape, leveraging a comprehensive four-pillar strategy to integrate the technology across its products and services. Nicholas Brackney, Senior Consultant in Product Marketing at Dell, discussed the company’s AI initiatives ahead of AI & Big Data Expo North America. Dell’s AI strategy is structured around four core principles: AI-In, AI-On, AI-For, and AI-With: “Embedding AI capabilities in our offerings and services drives speed, intelligence, and automation,” Brackney explained. This ensures that AI is a fundamental component of Dell’s offerings. The company also enables customers to run powerful AI workloads on its comprehensive portfolio of solutions, from desktops to data centres, across clouds, and at the edge. AI innovation and tooling are applied for Dell’s business to enhance operations and share best practices with customers. Finally, Dell collaborates with strategic partners within an open AI ecosystem to simplify and enhance the AI experience. Dell is well-positioned to help customers navigate AI workloads, emphasising choice and adaptability through the various evolutions of emerging technology. Brackney highlighted Dell’s commitment to serving customers from the early stages of AI adoption to achieving AI at scale. “We’ve always believed in providing choice and have been doing it through the various evolutions of emerging technology, including AI, and understanding the challenges that come with them,” explained Brackney. “We fully leverage our unique operating model to serve customers in the early innings of AI to a future of AI at scale.” Looking to the future, Dell is particularly excited about the potential of AI PCs. “We know organisations and their knowledge workers are excited about AI, and they want to fit it into all their workflows,” Brackney said. Dell is focused on integrating AI into software and ensuring it runs efficiently on the right systems, enhancing end-to-end customer journeys in AI. Ethical concerns in AI deployment are also a priority for Dell. Addressing issues such as deepfakes, transparency, and bias, Brackney emphasised the importance of a shared, secure, and sustainable approach to AI development. “We believe in a shared, secure, and sustainable approach. By getting the foundations right at their core, we can eliminate some of the greatest risks associated with AI and work to ensure it acts as a force for good,” explains Brackney. User data privacy in AI-driven products is another critical focus area. Brackney outlined Dell’s strategy of integrating AI with existing security investments without introducing new risks. Dell offers a suite of secure products, comprehensive data protection, advanced cybersecurity features, and global support services to safeguard user data. On the topic of job displacement due to AI, Brackney underscored that Dell views AI as augmenting human potential rather than replacing it. “The roles may change but the human element will always be key,” Brackney stated. “At Dell, we encourage our team members to understand, explore, and, where appropriate, use tools based on AI to learn, evolve, and enhance the overall work experience.” Looking ahead, Brackney envisions a transformative role for AI within Dell and the tech industry. “We see customers in every industry wanting to become leaders in AI because it is critical to their organisation’s innovation, growth, and productivity,” he noted. Dell aims to support this evolution by providing the necessary architectures, frameworks, and services to assist its customers on this transformative journey. Dell is a key sponsor of this year’s AI & Big Data Expo. Check out Dell’s keynote presentation ‘From Data Novice to Data Champion – Cultivating Data Literacy Across the Organization’ and swing by Dell’s booth at stand #66 to hear about AI from the company’s experts. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy appeared first on AI News. View the full article

The ********* Union has launched a new office dedicated to overseeing the implementation of its landmark AI Act, which is regarded as one of the most comprehensive AI regulations in the world. This new initiative adopts a risk-based approach, imposing stringent regulations on higher-risk AI applications to ensure their safe and ethical deployment. The primary goal of this office is to promote the “future development, deployment and use” of AI technologies, aiming to harness their societal and economic benefits while mitigating associated risks. By focusing on innovation and safety, the office seeks to position the EU as a global leader in AI regulation and development. According to Margerthe Vertager, the EU competition chief, the new office will play a “key role” in implementing the AI Act, particularly with regard to general-purpose AI models. She stated, “Together with developers and a scientific community, the office will evaluate and test general-purpose AI to ensure that AI serves us as humans and upholds our ********* values.” Sridhar Iyengar, Managing Director for Zoho Europe, welcomed the establishment of the AI office, noting, “The establishment of the AI office in the ********* Commission to play a key role with the implementation of the EU AI Act is a welcome sign of progress, and it is encouraging to see the EU positioning itself as a global leader in AI regulation. We hope to continue to see collaboration between governments, businesses, academics and industry experts to guide on safe use of AI to boost business growth.” Iyengar highlighted the dual nature of AI’s impact on businesses, pointing out both its benefits and concerns. He emphasised the importance of adhering to best practice guidance and legislative guardrails to ensure safe and ethical AI adoption. “AI can drive innovation in business tools, helping to improve ****** detection, forecasting, and customer data analysis to name a few. These benefits not only have the potential to elevate customer experience but can increase efficiency, present insights, and suggest actions to drive further success,” Iyengar said. The office will be staffed by more than 140 individuals, including technology specialists, administrative assistants, lawyers, policy specialists, and economists. It will consist of various units focusing on regulation and compliance, as well as safety and innovation, reflecting the multifaceted approach needed to govern AI effectively. Rachael Hays, Transformation Director for Definia, part of The IN Group, commented: “The establishment of a dedicated AI Office within the ********* Commission underscores the EU’s commitment to both innovation and regulation which is undoubtedly crucial in this rapidly evolving AI landscape.” Hays also pointed out the potential for workforce upskilling that this initiative provides. She referenced findings from their Tech and the Boardroom research, which revealed that over half of boardroom leaders view AI as the biggest direct threat to their organisations. “This initiative directly addresses these fears as employees across various sectors are given the opportunity to adapt and thrive in an AI-driven world. The AI Office offers promising hope and guidance in developing economic benefits while mitigating risks associated with AI technology, something we should all get on board with,” she added. As the EU takes these steps towards comprehensive AI governance, the office’s work will be pivotal in driving forward both innovation and safety in the field. (Photo by Sara Kurfeß) See also: Elon Musk’s xAI secures $6B to challenge OpenAI in AI race Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post EU launches office to implement AI Act and foster innovation appeared first on AI News. View the full article

In an interview ahead of the Intelligent Automation Conference, Ben Ball, Senior Director of Product Marketing at IBM, shed light on the tech giant’s latest AI endeavours and its groundbreaking new Concert product. IBM’s current focal point in AI research and development ***** in applying it to technology operations. As Ball explained, “As people try to build applications out in the world, it’s an increasingly complex situation. There are so many tools, there are so many environments that go into building and maintaining an application over time that a lot of teams are just drowned under all of the data that’s involved.” To tackle this challenge, the company has announced IBM Concert, which will harness AI to make sense of the vast amount of data involved in application development and maintenance. “It’s using AI to figure out actually how your application works, and then provides recommendations about how to make it better,” Ball said. Upcoming AI opportunities According to Ball, a current opportunity is organising the unstructured data that feeds into AI models. “There can be a gap between the unstructured amoeba of data and then what you want in AI, which is sorted, ready to go,” he acknowledged. However, IBM is actively working to bridge this gap, with IBM Concert set to evolve and incorporate tools to organise data into a format more digestible for AI engines. Explainability is another critical aspect of AI that IBM is addressing with IBM Concert. Ball emphasised the importance of not blindly accepting AI recommendations, stating, “We’re actually building in a function that you can question the recommendation so that you can question what the AI comes up with, and sort of dig a little bit deeper into how it came to that conclusion.” Powering the future of work Beyond IBM Concert, IBM offers a suite of AI technologies and tools, such as watsonx and AI governance solutions. As Ball explained, IBM aims to provide a “use-case-neutral” approach, allowing customers to leverage IBM’s AI capabilities for their specific needs. One area where IBM has seen early success with IBM Concert is in addressing the data overload faced by many organisations. Ball shared that design partners have been “amazed at what we’re able to do, the insights that we’re able to show, even at a very basic level.” As IBM Concert’s capabilities continue to evolve, IBM expects to deliver even more profound insights and conclusions, ultimately improving application performance, security, and overall management. For organisations considering adopting AI for the first time, Ball’s advice is clear: “Be deliberate about what you want to do with it. Don’t come in just thinking that the technology itself is the goal, but have a real use case in mind, a real goal in mind that you want AI to accomplish.” At the upcoming Intelligent Automation Conference, where IBM is a key sponsor, the company plans to showcase IBM Concert and its potential to transform technology operations through the power of AI. As the interview concluded, Ball expressed excitement about the possibilities of IBM Concert, stating, “We’re really excited about this, and we think our customers are going to be really excited about it too.” You can watch our full interview with Ben Ball below: Gain further insights from Ben Ball as he shares his expertise in his day one presentation titled ‘Leveraging Gen AI to proactively mitigate security vulnerabilities in your applications’ at the Intelligent Automation Conference. Want to learn more about intelligent automation from industry leaders? Check out the Intelligent Automation Conference taking place in California, London, and Amsterdam. The comprehensive event is co-located with other leading events including AI & Big Data Expo, IoT Tech Expo, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Ben Ball, IBM: Revolutionising technology operations with IBM Concert appeared first on AI News. View the full article

Elon Musk founded xAI last summer, and The Verge just reported that it’s already making waves by announcing a massive $6 billion funding round. According to the company, this money will help bring xAI’s first products to market, build advanced infrastructure, and accelerate research and development efforts into future technologies. Musk has some history in the AI space. He co-founded OpenAI in 2015 alongside the current CEO, Sam Altman, and others. However, he parted ways with the company in 2018 due to disagreements over its priorities and direction, specifically OpenAI’s move away from open-source AI models and towards proprietary, closed models that they sell access to. Musk became one of OpenAI’s most vocal critics after that. Fast-forward to July of last year, and Musk formally re-entered the generative AI arena with the announcement of xAI. Since then, the company has been aggressively working on building advanced AI systems that it claims will be “truthful, competent, and maximally beneficial for all of humanity.” One of xAI’s first offerings is Grok, an edgier version of OpenAI’s ChatGPT. It is currently available only to X Premium subscribers. According to benchmarks shared by xAI, Grok-1 outperformed models like Llama-2-70B and GPT-3.5 but still lagged behind Anthropic’s Claude3, OpenAI’s GPT-4, Google’s Gemini, and Meta’s open-source Llama 3. This latest funding round saw investments from big names, including Andreessen Horowitz, Sequoia Capital, and even Saudi Arabian Prince Al Waleed bin Talal. Last year, filings showed xAI was looking to raise up to $1 billion in equity investments, and just a few months ago, reports surfaced that they had increased their target to a whopping $6 billion—a figure Musk initially denied. Developing the hardware capable of powering AI at this sophisticated level is no small feat and certainly is costly. Just last week, a report revealed that xAI would need an astonishing 100,000 of Nvidia’s current H100 chips for a supercomputer to power an upgraded version of Grok, each costing between $30,000 to $40,000. Musk has ambitious plans for these powerful resources. He reportedly informed investors that the goal is to launch this new data centre by fall 2025, marking a significant step forward in xAI’s technological capabilities. Continuing this AI race for chips, talent, and technology will be expensive. Big tech firms have already invested billions into AI startups like Anthropic, on top of what companies like Google, Apple, Amazon, Microsoft, and Meta are investing in their own AI projects. Microsoft, in particular, has struck a multi-billion-dollar partnership with OpenAI, whose CEO, Sam Altman, is reportedly pursuing trillions more to revamp the global chip industry. Tesla will continue to hire AI engineers for self-driving cars, even though Elon Musk has previously stated a preference for not bringing most of those AI and robotics capabilities in-house, to allow greater focus on external ventures. He talks about breaking free from the traditional constraints of auto manufacturing as part of a broader agenda. At the same time, Tesla is gearing up for its annual meeting on June 13, where shareholders will start voting on whether to reinstate Musk’s record-breaking $56 billion pay package, a significant development given Musk’s substantial influence across various tech sectors. Over the years, Musk has made substantial contributions to AI research, and now his venture, xAI, is at the forefront of AI developments. It will be fascinating to watch how these efforts unfold and see which of xAI’s contributions will secure a place in the annals of AI history during this rapid evolution. See also: Elon Musk’s xAI open-sources Grok Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Elon Musk’s xAI secures $6B to challenge OpenAI in AI race appeared first on AI News. View the full article

TechForge recently caught up with Gil Pekelman, CEO of all-in-one IT management platform, Atera, to discuss how AI is becoming the IT professionals’ number one companion. Can you tell us a little bit about Atera and what it does? We launched the Atera all-in-one platform for IT management in 2016, so quite a few years ago. And it’s very broad. It’s everything from technical things like patching and security to ongoing support, alerts, automations, ticket management, reports, and analytics, etc. Atera is a single platform that manages all your IT in a single pane of glass. The power of it – and we’re the only company that does this – is it’s a single codebase and single database for all of that. The alternative, for many years now, has been to buy four or five different products, and have them all somehow connected, which is usually very difficult. Here, the fact is it’s a single codebase and a single database. Everything is connected and streamlined and very intuitive. So, in essence, you sign up or start a trial and within five minutes, you’re already running with it and onboarding. It’s that intuitive. We have 12,000+ customers in 120 countries around the world. The *** is our second-largest country in terms of business, currently. The US is the first, but the *** is right behind them. What are the latest trends you’re seeing develop in AI this year? From the start, we’ve been dedicated to integrating AI into our company’s DNA. Our goal has always been to use data to identify problems and alert humans so they can fix or avoid issues. Initially, we focused on leveraging data to provide solutions. Over the past nine years, we’ve aimed to let AI handle mundane IT tasks, freeing up professionals for more engaging work. With early access to Chat GPT and Open AI tools a year and a half ago, we’ve been pioneering a new trend we call Action AI. Unlike generic Generative AI, which creates content like songs or emails, Action AI operates in the real world, interacting with hardware and software to perform tasks autonomously. Our AI can understand IT problems and resolve them on its own, moving beyond mere dialogue to real-world action. Atera offers Copilot and Autopilot. Could you explain what these are? Autopilot is autonomous. It understands a problem you might have on your computer. It’s a widget on your computer, and it will communicate with you and fix the problem autonomously. However, it has boundaries on what it’s allowed to fix and what it’s not allowed to fix. And everything it’s allowed to deal with has to be bulletproof. 100% secure or private. No opportunity to do any damage or anything like that. So if a ticket is opened up, or a complaint is raised, if it’s outside of these boundaries, it will then activate the Copilot. The Copilot augments the IT professional. They’re both companions. The Autopilot is a companion that takes away password resets, printer issues, installs software, etc. – mundane and repetitive issues – and the Copilot is a companion that will help the IT professional deal with the issues they deal with on a day-to-day basis. And it has all kinds of different tools. The Copilot is very elaborate. If you have a problem, you can ask it and it will not only give you an answer like ChatGPT, but it will research and run all kinds of tests on the network, the computer, and the printer, and it will come to a conclusion, and create the action that is required to solve it. But it won’t solve it. It will still leave that to the IT professional to think about the different information and decide what they want to do. Copilot can save IT professionals nearly half of their workday. While it’s been tested in the field for some time, we’re excited to officially launch it now. Meanwhile, Autopilot is still in the beta phase. What advice would you give to any companies that are thinking about integrating AI technologies into their business operations? I strongly recommend that companies begin integrating AI technologies immediately, but it is crucial to research and select the right and secure generative AI tools. Incorporating AI offers numerous advantages: it automates routine tasks, enhances efficiency and productivity, improves accuracy by reducing human error, and speeds up problem resolution. That being said, it’s important to pick the right generative AI tool to help you reap the benefits without compromising on security. For example, with our collaboration with Microsoft, our customers’ data is secure—it stays within the system, and the AI doesn’t use it for training or expanding its database. This ensures safety while delivering substantial benefits. Our incorporation of AI into our product focuses on two key aspects. First, your IT team no longer has to deal with mundane, frustrating tasks. Second, for end users, issues like non-working printers, forgotten passwords, or slow internet are resolved in seconds or minutes instead of hours. This provides a measurable and significant improvement in efficiency. There are all kinds of AIs out there. Some of them are more beneficial, some are less. Some are just Chat GPT in disguise, and it’s a very thin layer. What we do literally changes the whole interaction with IT. And we know, when IT has a problem things stop working, and you stop working. Our solution ensures everything keeps running smoothly. What can we expect from AI over the next few years? AI is set to become significantly more intelligent and aware. One remarkable development is its growing ability to reason, predict, and understand data. This capability enables AI to foresee issues and autonomously resolve them, showcasing an astonishing level of reasoning. We anticipate a dual advancement: a rapid acceleration in AI’s intelligence and a substantial enhancement in its empathetic interactions, as demonstrated in the latest OpenAI release. This evolution will transform how humans engage with AI. Our work exemplifies this shift. When non-technical users interact with our software to solve problems, AI responds with a highly empathetic, human-like approach. Users feel as though they are speaking to a real IT professional, ensuring a seamless and comforting experience. As AI continues to evolve, it will become increasingly powerful and capable. Recent breakthroughs in understanding AI’s mechanisms will not only enhance its functionality but also ensure its security and ethical use, reinforcing its role as a force for good. What plans does Atera have for the next year? We are excited to announce the upcoming launch of Autopilot, scheduled for release in a few months. While Copilot, our comprehensive suite of advanced tools designed specifically for IT professionals, has already been instrumental in enhancing efficiency and effectiveness, Autopilot represents the next significant advancement. Currently in beta so whoever wants to try it already can, Autopilot directly interacts with end users, automating and resolving common IT issues that typically burden IT staff, such as password resets and printer malfunctions. By addressing these routine tasks, Autopilot allows IT professionals to focus on more strategic and rewarding activities, ultimately improving overall productivity and job satisfaction. For more information, visit atera.com Atera is a sponsor of TechEx North America 2024 on June 5-6 in Santa Clara, US. Visit the Atera team at booth 237 for a personalised demo, or to test your IT skills with the company’s first-of-kind AIT game, APOLLO IT, for a chance to win a prize. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Gil Pekelman, Atera: How businesses can harness the power of AI appeared first on AI News. View the full article

TechForge recently caught up with Gil Pekelman, CEO of all-in-one IT management platform, Atera, to discuss how AI is becoming the IT professionals’ number one companion. Can you tell us a little bit about Atera and what it does? We launched the Atera all-in-one platform for IT management in 2016, so quite a few years ago. And it’s very broad. It’s everything from technical things like patching and security to ongoing support, alerts, automations, ticket management, reports, and analytics, etc. Atera is a single platform that manages all your IT in a single pane of glass. The power of it – and we’re the only company that does this – is it’s a single codebase and single database for all of that. The alternative, for many years now, has been to buy four or five different products, and have them all somehow connected, which is usually very difficult. Here, the fact is it’s a single codebase and a single database. Everything is connected and streamlined and very intuitive. So, in essence, you sign up or start a trial and within five minutes, you’re already running with it and onboarding. It’s that intuitive. We have 12,000+ customers in 120 countries around the world. The *** is our second-largest country in terms of business, currently. The US is the first, but the *** is right behind them. What are the latest trends you’re seeing develop in AI this year? From the start, we’ve been dedicated to integrating AI into our company’s DNA. Our goal has always been to use data to identify problems and alert humans so they can fix or avoid issues. Initially, we focused on leveraging data to provide solutions. Over the past nine years, we’ve aimed to let AI handle mundane IT tasks, freeing up professionals for more engaging work. With early access to Chat GPT and Open AI tools a year and a half ago, we’ve been pioneering a new trend we call Action AI. Unlike generic Generative AI, which creates content like songs or emails, Action AI operates in the real world, interacting with hardware and software to perform tasks autonomously. Our AI can understand IT problems and resolve them on its own, moving beyond mere dialogue to real-world action. Atera offers Copilot and Autopilot. Could you explain what these are? Autopilot is autonomous. It understands a problem you might have on your computer. It’s a widget on your computer, and it will communicate with you and fix the problem autonomously. However, it has boundaries on what it’s allowed to fix and what it’s not allowed to fix. And everything it’s allowed to deal with has to be bulletproof. 100% secure or private. No opportunity to do any damage or anything like that. So if a ticket is opened up, or a complaint is raised, if it’s outside of these boundaries, it will then activate the Copilot. The Copilot augments the IT professional. They’re both companions. The Autopilot is a companion that takes away password resets, printer issues, installs software, etc. – mundane and repetitive issues – and the Copilot is a companion that will help the IT professional deal with the issues they deal with on a day-to-day basis. And it has all kinds of different tools. The Copilot is very elaborate. If you have a problem, you can ask it and it will not only give you an answer like ChatGPT, but it will research and run all kinds of tests on the network, the computer, and the printer, and it will come to a conclusion, and create the action that is required to solve it. But it won’t solve it. It will still leave that to the IT professional to think about the different information and decide what they want to do. Copilot can save IT professionals nearly half of their workday. While it’s been tested in the field for some time, we’re excited to officially launch it now. Meanwhile, Autopilot is still in the beta phase. What advice would you give to any companies that are thinking about integrating AI technologies into their business operations? I strongly recommend that companies begin integrating AI technologies immediately, but it is crucial to research and select the right and secure generative AI tools. Incorporating AI offers numerous advantages: it automates routine tasks, enhances efficiency and productivity, improves accuracy by reducing human error, and speeds up problem resolution. That being said, it’s important to pick the right generative AI tool to help you reap the benefits without compromising on security. For example, with our collaboration with Microsoft, our customers’ data is secure—it stays within the system, and the AI doesn’t use it for training or expanding its database. This ensures safety while delivering substantial benefits. Our incorporation of AI into our product focuses on two key aspects. First, your IT team no longer has to deal with mundane, frustrating tasks. Second, for end users, issues like non-working printers, forgotten passwords, or slow internet are resolved in seconds or minutes instead of hours. This provides a measurable and significant improvement in efficiency. There are all kinds of AIs out there. Some of them are more beneficial, some are less. Some are just Chat GPT in disguise, and it’s a very thin layer. What we do literally changes the whole interaction with IT. And we know, when IT has a problem things stop working, and you stop working. Our solution ensures everything keeps running smoothly. What can we expect from AI over the next few years? AI is set to become significantly more intelligent and aware. One remarkable development is its growing ability to reason, predict, and understand data. This capability enables AI to foresee issues and autonomously resolve them, showcasing an astonishing level of reasoning. We anticipate a dual advancement: a rapid acceleration in AI’s intelligence and a substantial enhancement in its empathetic interactions, as demonstrated in the latest OpenAI release. This evolution will transform how humans engage with AI. Our work exemplifies this shift. When non-technical users interact with our software to solve problems, AI responds with a highly empathetic, human-like approach. Users feel as though they are speaking to a real IT professional, ensuring a seamless and comforting experience. As AI continues to evolve, it will become increasingly powerful and capable. Recent breakthroughs in understanding AI’s mechanisms will not only enhance its functionality but also ensure its security and ethical use, reinforcing its role as a force for good. What plans does Atera have for the next year? We are excited to announce the upcoming launch of Autopilot, scheduled for release in a few months. While Copilot, our comprehensive suite of advanced tools designed specifically for IT professionals, has already been instrumental in enhancing efficiency and effectiveness, Autopilot represents the next significant advancement. Currently in beta so whoever wants to try it already can, Autopilot directly interacts with end users, automating and resolving common IT issues that typically burden IT staff, such as password resets and printer malfunctions. By addressing these routine tasks, Autopilot allows IT professionals to focus on more strategic and rewarding activities, ultimately improving overall productivity and job satisfaction. For more information, visit atera.com Atera is a sponsor of TechEx North America 2024 on June 5-6 in Santa Clara, US. Visit the Atera team at booth 237 for a personalised demo, or to test your IT skills with the company’s first-of-kind AIT game, APOLLO IT, for a chance to win a prize. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Gil Pekelman, Atera: How businesses can harness the power of AI appeared first on AI News. View the full article

OpenAI has secured a deal to access real-time content from Reddit through the platform’s data API. This allows OpenAI to incorporate conversations from Reddit into ChatGPT and other new products, echoing a previous agreement that the platform had with Google, reportedly valued at $60 million. The partnership enables OpenAI to better sample the datasets on which their models are trained, allowing AI systems to become more precise and context-aware. For human communication and natural language processing, this means models like ChatGPT can stay continually updated with one of the vastest collections of public discourse available, enabling them to respond more effectively. As part of this collaboration, Reddit will be able to develop and release new AI-powered tools for its users and moderators, utilising OpenAI’s advanced language models. This collaboration could result in more effective moderation tools and a set of features specifically designed to help users better understand thread information. Features might include summarising content or assisting users in forming responses to replies without having to write everything from scratch. The primary goal of these features is to refine language interactions for all users. Moreover, as part of this partnership, OpenAI will serve as an advertising partner, enabling Reddit to offer ads that are more tailored and relevant, utilising OpenAI’s capacity to capture the subtleties of user behaviour. The reaction of Reddit’s community to this partnership ******** uncertain, but their historical engagement and vocal opposition to unfavourable executive decisions, such as those during the protests over API pricing, suggest they may respond vigilantly. The acceptance of this partnership will hinge critically on OpenAI’s ability to maintain user privacy and adhere to Reddit’s platform norms. From OpenAI’s viewpoint, partnering with Reddit signifies a crucial strategic development. It positions the company to highlight its prominent AI technology in direct competition with giants such as Google and Microsoft, and crucially, within the integral realm of social media. For Reddit, this collaboration could provide a substantial advantage over less progressive platforms, potentially reshaping its image and attracting more users. The partnership offers great promise but also raises critical ethical and methodological questions. Integrating real-time user-generated data to advance AI capabilities could lead to privacy violations and potentially restrict users’ freedom of expression. Additionally, this application of AI might clash with existing ethical norms. Steve Huffman, the CEO of Reddit, supports the integration, stating it will promote more relevant content and improve community engagement, consistent with the vision of a connected internet. However, navigating the implications of this deal is complex, particularly in light of Reddit’s history with data scraping issues and recent copyright disputes. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post OpenAI secures key partnership with Reddit appeared first on AI News. View the full article

Microsoft has launched a new type of personal computer designed with AI capabilities, underscoring the company’s commitment to integrating cutting-edge technology across its product lineup. This new category not only boosts Microsoft’s ventures but also positions it to compete directly with AI-led advancements from tech giants such as Alphabet and Apple. During an event at Microsoft’s campus in Redmond, Washington, CEO Satya Nadella unveiled the Copilot+ PCs. These computers, developed in collaboration with manufacturers like Acer and Asustek Computer, align with Microsoft’s stock prices reaching near all-time highs amid Wall Street’s expectations that AI will significantly boost earnings for major tech firms. These PCs are engineered to manage a greater share of AI tasks locally, reducing reliance on cloud data centres. Priced from $1,000, the devices are slated to begin shipping on June 18. The lineup includes laptops from established manufacturers such as Dell Technologies, HP, and Samsung Electronics, complemented by two models from Microsoft itself. Technical innovations and product range The Surface Laptop, Microsoft’s inaugural Copilot+ device, features a Qualcomm Snapdragon X series system-on-chip. This chip includes a built-in AI accelerator capable of delivering up to 45 tera operations per second (TOPS) of computing power. Available in 13.5-inch and 15-inch models, these laptops offer up to 64 gigabytes of RAM and 1 terabyte of flash storage. Joining the Surface Laptop is the new Copilot+ version of the Surface Pro, a versatile two-in-one PC. This 10.6-inch tablet converts into a laptop with a detachable keyboard, known as the Flex Keyboard, which also functions as a wireless connector and stylus charger for the Surface Pro. Both the Surface Laptop and Surface Pro are equipped with the Snapdragon X processor, available with up to 32 gigabytes of RAM and one terabyte of storage. The high-end models feature an OLED display, enhancing visual quality significantly. A distinctive feature of the Copilot+ series is “Recall,” which allows the device to log all user activities—from web browsing to voice chats—and store this data locally. This functionality creates a searchable history that users can access to revisit past activities, even months later. Yusuf Mehdi, head of consumer marketing at Microsoft, announced at the press event that the company anticipates selling 50 million AI PCs in the coming year. He emphasised that the enhanced capabilities of AI assistants, now operating directly on these PCs, will make a compelling case for consumers considering upgrades. Despite a 15% decline in global PC shipments last year, according to Gartner, Microsoft is optimistic about the potential market share for its Copilot+ PCs. Analyst Ben Bajarin from Creative Strategies remarked: “People just need to be convinced that the device experience alone justifies this entirely new category of Copilot+ machines.” Echoing Intel’s 2011 strategy with the “Ultrabook,” which aimed to compete against Apple’s MacBook Air, Microsoft’s introduction of the “Copilot+” category is poised to redefine the slim-form Windows laptop market. Microsoft also revealed that GPT-4o, the latest advancement from OpenAI’s ChatGPT, will soon be integrated into Copilot. Additionally, the new series of Surface Pro tablets and Surface Laptops will incorporate Qualcomm chips based on Arm Holdings’ designs, utilising the innovative Prism technology to adapt software originally designed for Intel and AMD processors for use on Arm-based systems. At a recent demonstration, Microsoft showcased how its new devices, running Adobe photo editing software, outperformed an Apple device, just weeks after Apple introduced a new AI-focused chip expected to enhance future laptops. Challenges and opportunities in the evolving PC market Facing strong competition in the traditional PC market, Microsoft continues to lead in integrating the latest AI trends into consumer products. This strategic initiative, fueled by its partnership with OpenAI, aims to secure a leadership position in the fiercely competitive AI industry, challenging rivals like Alphabet. Just last week, both OpenAI and Alphabet’s Google introduced new AI technologies that support real-time, voice-responsive interactions, establishing new benchmarks for AI voice assistants. Meanwhile, Windows PC manufacturers are contending with increased pressure from Apple, whose custom Arm-based chips have set new standards in battery life and performance. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Microsoft unveils new Copilot+ PCs featuring advanced AI capabilities appeared first on AI News. View the full article

As artificial intelligence continues to progress at an unprecedented rate, developing new and innovative AI tools has become crucial for shaping the future of the industry. However, keeping up with all the latest advancements can often feel overwhelming, with new tools emerging every day across diverse domains and applications. This is where AI Parabellum steps in as a one-stop destination to uncover the most cutting-edge AI tools from around the world. As the premier AI tools directory, AI Parabellum aims to bring all innovators and enthusiasts together on a single platform. By spotlighting the top AI tools curated from the vast landscape, AI Parabellum serves as a guide for anyone interested in staying at the forefront of this rapidly evolving field. A Central Hub for AI Tool Discovery With its easy-to-navigate directory format, AI Parabellum provides a bird’s-eye view of the AI tool ecosystem. Browsing through different categories like image, text, video, audio and more, users can discover the most promising tools spanning various industries. Some tools you may come across include image generators for visual creations, chatbots for conversational services, and text generators for writing assistance. AI Parabellum also maintains an extensive list of the 500+ best AI tools ranked by traffic, giving a comprehensive overview of the most popular tools making waves currently. This curated selection acts as a starting point for anyone looking to evaluate the top-performing solutions in the market. With regular updates, the directory ensures users have their fingers on the pulse of the latest trends and developments. A Platform for AI Creators In addition to being a discovery hub, AI Parabellum doubles up as a platform for AI tool creators to showcase their work. On the Submit AI Tool page, creators can list their AI tool with options for verified, featured and premium listings. This provides an opportunity to get their innovations exposed to a dedicated audience of potential users and investors. Listings offer valuable promotion through placement in relevant categories and ranking in search results. For creators, it serves as an effective strategy to expand user base, gather valuable feedback and take their tool to the next level. With AI Parabellum’s widespread reach and dedicated following, being featured offers high visibility and recognition that can help tools gain true momentum in the industry. Simplifying AI Adoption As AI becomes increasingly pervasive across all walks of life, platforms like AI Parabellum play a crucial role in simplifying adoption. By acting as a one-stop catalog, it reduces the effort needed to discover suitable solutions. The easy browsing and thorough reviews further help evaluate options quickly based on specific needs. For organisations and businesses, AI Parabellum eases the process of shortlisting potential AI partners. Individuals also benefit from the curated selection to learn about emerging trends and explore tools relevant to their interests. In bringing the AI community together, such directories foster greater accessibility of this powerful technology for all. In summary, AI Parabellum has established itself as a premier destination for both exploring the innovative universe of AI tools and getting creations recognised by a global audience. For anyone interested in staying at the cutting-edge of this revolutionary domain, AI Parabellum is a must-visit to uncover the future ahead. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Discovering the future of AI – Introducing AI Parabellum (an AI tools directory) appeared first on AI News. View the full article

AI has made some – to put it mildly – big changes in our world in recent years, and although nobody can say for sure what it’s going to do next or what kind of impact it’s going to have on many aspects of our lives, people are eagerly looking out for those alterations (some with slight trepidation). What does it mean for those who love the buzz and thrill of the casino world? Precise predictions are, of course, challenging to make, but it’s likely that AI is going to make major alterations soon to the way the gambling world works. Now, we’re going to caveat the whole article by reminding people that AI is a long way from perfect at the moment (and that’s generating some serious concerns and major complaints), but it’s also pretty powerful and has a lot of potential… so let’s unpack that! What’s AI Already Doing? You might (or might not) be surprised to learn that AI is already doing a lot of work in the online casino; it’s responsible for a whole lot of the computing that goes on behind the scenes (where, let’s be honest, most players aren’t looking), and it helps casinos across the planet function effectively, ensuring their games work – and work well. We all know that AI doing a lot of the legwork when it comes to making online games play – it’s got to be able to respond effectively to player behavior, make intelligent decisions, and present even the best players with worthy opponents that can test their skills. And does it do so? Yes… staggeringly well at times. AI does some other major jobs too, one of them being to analyze player behavior for both safety and personalization reasons. In terms of safety, it’s got some hard-hitting advantages: it can learn how an individual player generally behaves when gambling online and look for discrepancies that could indicate ****** is occurring. The account can then be paused while an investigation takes place – potentially saving players from losing large amounts of money to scammers! Sounds pretty good to us. Next, AI bumps up the relevance of offers and bonuses, again by watching what players do online. They’ll note what promos and deals you click on, respond to your preferences, and create offers that have been honed to exactly match your tastes! This is a great way to enhance the casino experience for players; you’re not just getting any old offer in your inbox, but a proper, useful offer that aligns with the games you play and the things you like (well, most of the time; we all know this isn’t perfect yet!). The new power casinos have to analyze player behavior can also lead to better regulations and more responsible gambling, creating win-wins for everyone involved. What’s Coming Next? Next, let’s turn our sights to that exciting horizon, and the anticipation of what we might see in the future. Well, firstly, it’s going to become better and better at playing games, as mentioned above – the more we train AIs, the better they become at their various tasks. So even the games where they currently don’t excel are likely to become better in the future. We’re also likely to see better graphics hitting the scene, as AIs improve their ability to generate images well. Got a favorite online live poker game, for example? The graphics might already seem swish but wait until a few years down the line… they’ll be unbelievable, especially if they get coupled with VR at some point! We’re looking forward to seeing how *********** online casino games (and other casino games, for that matter!) develop as time passes. Their player analysis is likely to improve too. We’ve all laughed at how bad computers seem to be at predicting our likes and dislikes at times (we’re sure you’ve experienced that moment where you get a dozen ads for a product you’ve already purchased, for example), but it is getting better… and we don’t see that trend going away any time soon. Of course, the more data the AI has, the better its predictions become, so it’s likely that casinos are going to bump up their focus on customer loyalty even more, which is no bad thing. It often leads to increased offers and bonuses to encourage you to stick with them, and nobody is complaining about that! It’s hard to predict what else may come out of these exciting trends, but one thing is for sure: this isn’t slowing down or going away, and we’re expecting to see some intriguing developments in the next few years as more and more companies adopt and invest in AI. Casinos are just one small element, but they’re a fantastic example of where AI is now and what we might see coming as time progresses! Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Is AI going to upend the face of gambling? appeared first on AI News. View the full article

76% of consumers in EMEA think AI will significantly impact the next five years, yet 47% question the value that AI will bring and 41% are worried about its applications. This is according to research from enterprise analytics AI firm Alteryx. Since the release of ChatGPT by OpenAI in November 2022, there has been significant buzz about the transformative potential of generative AI, with many considering it one of the most revolutionary technologies of our time. With a significant 79% of organisations reporting that generative AI contributes positively to business, it is evident that a gap needs to be addressed to demonstrate AI’s value to consumers both in their personal and professional lives. According to the ‘Market Research: Attitudes and Adoption of Generative AI’ report, which surveyed 690 IT business leaders and 1,100 members of the general public in EMEA, key issues of trust, ethics and skills are prevalent, potentially impeding the successful deployment and broader acceptance of generative AI. The impact of misinformation, inaccuracies, and AI hallucinations These hallucinations – where AI generates incorrect or illogical outputs – are a significant concern. Trusting what generative AI produces is a substantial issue for both business leaders and consumers. Over a third of the public are anxious about AI’s potential to generate fake news (36%) and its misuse by hackers (42%), while half of the business leaders report grappling with misinformation produced by generative AI. Simultaneously, half of the business leaders have observed their organisations grappling with misinformation produced by generative AI. Moreover, the reliability of information provided by generative AI has been questioned. Feedback from the general public indicates that half of the data received from AI was inaccurate, and 38% perceived it as outdated. On the business front, concerns include generative AI infringing on copyright or intellectual property rights (40%), and producing unexpected or unintended outputs (36%). A critical trust issue for businesses (62%) and the public (74%) revolves around AI hallucinations. For businesses, the challenge involves applying generative AI to appropriate use cases, supported by the right technology and safety measures, to mitigate these concerns. Close to half of the consumers (45%) are advocating for regulatory measures on AI usage. Ethical concerns and risks persist in the use of generative AI In addition to these challenges, there are strong and similar sentiments on ethical concerns and the risks associated with generative AI among both business leaders and consumers. More than half of the general public (53%) oppose the use of generative AI in making ethical decisions. Meanwhile, 41% of business respondents are concerned about its application in critical decision-making areas. There are distinctions in the specific areas where its use is discouraged; consumers notably oppose its use in politics (46%), and businesses are cautious about its deployment in healthcare (40%). These concerns find some validation in the research findings, which highlight worrying gaps in organisational practices. Only a third of leaders confirmed that their businesses ensure the data used to train generative AI is diverse and unbiased. Furthermore, only 36% have set ethical guidelines, and 52% have established data privacy and security policies for generative AI applications. This lack of emphasis on data integrity and ethical considerations puts firms at risk. 63% of business leaders cite ethics as their major concern with generative AI, closely followed by data-related issues (62%). This scenario emphasises the importance of better governance to create confidence and mitigate risks related to how employees use generative AI in the workplace. The rise of generative AI skills and the need for enhanced data literacy As generative AI evolves, establishing relevant skill sets and enhancing data literacy will be key to realising its full potential. Consumers are increasingly using generative AI technologies in various scenarios, including information retrieval, email communication, and skill acquisition. Business leaders claim they use generative AI for data analysis, cybersecurity, and customer support, and despite the success of pilot projects, challenges remain. Despite the reported success of experimental projects, several challenges remain, including security problems, data privacy issues, and output quality and reliability. Trevor Schulze, Alteryx’s CIO, emphasised the necessity for both enterprises and the general public to fully understand the value of AI and address common concerns as they navigate the early stages of generative AI adoption. He noted that addressing trust issues, ethical concerns, skills shortages, fears of privacy invasion, and algorithmic bias are critical tasks. Schulze underlined the necessity for enterprises to expedite their data journey, adopt robust governance, and allow non-technical individuals to access and analyse data safely and reliably, addressing privacy and bias concerns in order to genuinely profit from this ‘game-changing’ technology. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. The post Ethical, trust and skill barriers hold back generative AI progress in EMEA appeared first on AI News. View the full article

Intelligent automation (IA) technologies are graduating from being operational to highly strategic. In terms of the bottom line, it’s even more impressive. A study from SS&C Blue Prism, conducted by Forrester Consulting and published in April, put together a composite organisation representative of five customers interviewed. The conclusion was that, over three years, there were key gains in IA from greater productivity to compliance cost avoidance, to improved employee experience and retention. This represented an overall net present value of $53.4 million (£42.5m) per customer. Yet this may just be the tip of the iceberg. Dan Segura, enterprise sales manager at SS&C Blue Prism, notes one healthcare client who, in what is described as a ************* estimate, delivered savings of more than $140m overall on cost avoidance and recoup. Another healthcare client delivered a use case with a claimed $43m benefit on its own; a **** which recouped overtime pay for nurses and staff during the pandemic. “They built it in an afternoon,” Segura explains. “It’s a perfect example of being in the right place at the right time; and having the right skills and technology being ready.” Many of the technologies which comprise intelligent automation have been around for a long time, such as classic RPA (robotic process automation) or OCR (optical character recognition). SS&C Blue Prism’s document automation, which forms part of the latter, is described as a ‘game-changer’ by Segura. “There’s a lot of these processes, whether it’s going to be ********* by a ****** or a human,” he says. “First things first, we’ve got to get data off documents. “Automation is not just doing simple tasks anymore thanks to the introduction of AI and generative AI” he adds. “There’s now more understanding, whether it’s assessing information from documents, information from a message, structuring things that are semi-structured or unstructured, to drive the process or complete the process.” Segura describes wider business process management (BPM) and process orchestration tool Chorus, meanwhile, as ‘one of the world’s best kept secrets.’ Or, at least, it was; in November analyst Everest Group named the tool as a leader and star performer in its Process Orchestration Products PEAK Matrix. The tool is now getting leverage outside the traditional finance and insurance fields. “It is how millions and millions of transactions and pieces of work are getting done every day,” says Segura. “We’re now seeing adoption [elsewhere] alongside automation to orchestrate their work and give them that end-to-end work orchestration, visibility, and efficiency gains with whatever they have going on.” So how does a use case come to life? It is often a mixture of inspiration and perspiration. Where SS&C Blue Prism comes in is to ‘help customers catch lightning’, as Segura puts it. “We’ve all been in that situation where it’s like ‘oh if I were running this place, here’s what I would do’,” he says. “Intelligent automation gives you the opportunity to reimagine your processes and transform how you get work done. Once that light switch turns on, and the initial use case is built, that’s really the secret sauce of SS&C Blue Prism; it’s that realisation and awareness of what intelligent automation can deliver. “We’re always learning from our customers,” adds Segura. “It’s at their direction because they know their business and processes better than anybody. Combine their business expertise with the transformational power of intelligent automation and its digital workforce, then that’s where the magic happens.” Any organisation, argues Segura, regardless of the industry, has change agents and citizen builders in waiting. Don’t think that’s a misnomer; the term is definitely ‘builder’. “I hear about these citizen developer programmes, and they’ll say, ‘here we have 500, 1000 citizen developers.’ What I don’t hear is, ‘and with this army of citizen developers we’ve achieved this’,” says Segura. “Whereas I have customers where two people have basically become citizen builders with more of a robust type of approach.” The $43m healthcare single use case is a case in point. “It is the whole mantra of SS&C Blue Prism,” adds Segura. “We’re designed to go after those higher value chain automations that can have a tangible impact on some of the company’s key objectives.” So, you have the idea, the value proposition, and the capability to build it out. How do you make it stick? Every organisation is different; though if your company has a continuous process improvement department then that can be a good place to start. Segura likens it to offshoring processes. “You don’t just wave it goodbye and never think about it again,” he explains. “At the end of the day, it still has to function. “You’re not just ‘digital-shoring’ [automation] and it will essentially be taken care of by digital. Someone has to continuously improve the process; someone has to mind when something changes with the business rules or regulatory compliance; somebody has to be responsible for making sure that those changes are kept up in an agile way.” SS&C Blue Prism has a longstanding, large US retail customer that combines that lightning capture with the right internal culture around automation. This is a company that has 72,000 employees, as well as 60 ‘digital workers’ executing more than 150 automations. One such automation, through using OCR technology, lets the company automate the processing of inbound customer orders received by digital fax. The overall result is 6.2 million transactions processed to date, and 250,000 hours of work returned to the business. But there is one extra ingredient required, particularly for a big company: discipline. “It took them a while to get to that point in maturity,” explains Segura. “They do have a very central function when it comes to the intelligent automation team, [but] keep in mind one of those processes is in supply chain. That process is regularly reviewing 4.2 million purchase orders; it’s minding 50 million inventory case volume; it’s going through two million SKUs for 8000 suppliers. “This is highly iterative, but it’s that process of having that lightning rod to capture the requirements and give people who are not necessarily technical a platform and a methodology to iterate very closely with the intelligent automation team,” adds Segura. Think of what SS&C Blue Prism does therefore as providing a superhero cape for those who don’t otherwise get the chance to step into the limelight. It is a message the company will look to broadcast at the Intelligent Automation event in Santa Clara on 5-6 June. “SS&C Blue Prism opens up that door to enable your citizen builders really make an impact and deliver strategic benefits to the company,” says Segura. “You’re not just playing with a pilot, not just fooling around with something; you’re really getting into the strategic objectives of the company.” Photo by Tara Winstead Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. The post The rise of intelligent automation as a strategic differentiator appeared first on AI News. View the full article

Tech Mahindra, a global provider of technology consulting and digital solutions, has collaborated with IBM to help organisations sustainably accelerate generative AI use worldwide. This collaboration combines Tech Mahindra’s range of AI offerings, TechM amplifAI0->∞, and IBM’s watsonx AI and data platform with AI Assistants. Customers can now combine IBM watsonx’s capabilities with Tech Mahindra’s AI consulting and engineering skills to access a variety of new generative AI services, frameworks, and solution architectures. This enables the development of AI apps in which organisations can use their trusted data to automate processes. It also provides a basis for businesses to create trustworthy AI models, promotes explainability to help manage risk and bias, and enables scalable AI adoption across hybrid cloud and on-premises environments. According to Kunal Purohit, Tech Mahindra’s chief digital services officer, organisations focus on responsible AI practices, and incorporating generative AI technologies to revitalise enterprises. “Our work with IBM can help advance digital transformation for organisations, adoption of GenAI, modernisation, and ultimately foster business growth for our global customers,” Purohit added. To further enhance business capabilities in AI, Tech Mahindra has established a virtual watsonx Centre of Excellence (CoE), which is already operational. This CoE functions as a co-innovation centre, with a dedicated team tasked with maximising synergies between the two companies and producing unique offerings and solutions based on their combined capabilities. The collaborative offerings and solutions developed through this partnership could help enterprises achieve their goals of constructing machine learning models using open-source frameworks while also enabling them to scale and accelerate the impact of generative AI. These AI-driven solutions have the potential to aid organisations enhance efficiency and productivity responsibly. Kate Woolley, GM of IBM Ecosystem, emphasised the collaboration’s potential, adding that generative AI may serve as a catalyst for innovation, unlocking new market opportunities when built on a foundation of explainability, transparency, and trust. Woolley said: “Our work with Tech Mahindra is expected to expand the reach of watsonx, allowing even more customers to build trustworthy AI as we seek to combine our technology and expertise to support enterprise use cases such as code modernisation, digital labour, and customer service.” This collaboration aligns with Tech Mahindra’s continuous endeavour to transform enterprises with advanced AI-led offerings and solutions, including their recent additions like Vision amplifAIer, Ops amplifAIer, Email amplifAIer, Enterprise Knowledge Search offering, Evangelize Pair Programming, and Generative AI Studio. It is worth mentioning that the two companies have previously collaborated. Earlier this year, Tech Mahindra announced the opening of a Synergy Lounge in conjunction with IBM on the company’s Singapore campus. This Lounge seeks to accelerate digital adoption for APAC organisations. It aids in operationalising and leveraging next-generation technologies such as AI, intelligent automation, hybrid cloud, 5G, edge computing, and cybersecurity. Beyond Tech Mahindra, IBM watsonx has been used in other collaborations to speed up the deployment of generative AI. Also happened early this year, the GSMA and IBM announced a new partnership to support the use and capabilities of generative AI in the telecom industry by launching GSMA Advance’s AI Training program and the GSMA Foundry Generative AI program. In addition, there is a digital version of the program that covers both the commercial strategy and technology fundamentals of generative AI. This initiative uses IBM watsonx to provide hands-on training for architects and developers seeking in-depth practical generative AI knowledge. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post IBM and Tech Mahindra unveil new era of trustworthy AI with watsonx appeared first on AI News. View the full article

Google has unveiled a series of updates to its AI offerings, including the introduction of Gemini 1.5 Flash, enhancements to Gemini 1.5 Pro, and progress on Project Astra, its vision for the future of AI assistants. Gemini 1.5 Flash is a new addition to Google’s family of models, designed to be faster and more efficient to serve at scale. While lighter-weight than the 1.5 Pro, it retains the ability for multimodal reasoning across vast amounts of information and features the breakthrough long context window of one million tokens. “1.5 Flash excels at summarisation, chat applications, image and video captioning, data extraction from long documents and tables, and more,” explained Demis Hassabis, CEO of Google DeepMind. “This is because it’s been trained by 1.5 Pro through a process called ‘distillation,’ where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model.” Meanwhile, Google has significantly improved the capabilities of its Gemini 1.5 Pro model, extending its context window to a groundbreaking two million tokens. Enhancements have been made to its code generation, logical reasoning, multi-turn conversation, and audio and image understanding capabilities. The company has also integrated Gemini 1.5 Pro into Google products, including the Gemini Advanced and Workspace apps. Additionally, Gemini Nano now understands multimodal inputs, expanding beyond text-only to include images. Google announced its next generation of open models, Gemma 2, designed for breakthrough performance and efficiency. The Gemma family is also expanding with PaliGemma, the company’s first vision-language model inspired by PaLI-3. Finally, Google shared progress on Project Astra (advanced seeing and talking responsive agent), its vision for the future of AI assistants. The company has developed prototype agents that can process information faster, understand context better, and respond quickly in conversation. “We’ve always wanted to build a universal agent that will be useful in everyday life. Project Astra, shows multimodal understanding and real-time conversational capabilities,” explained Google CEO Sundar Pichai. “With technology like this, it’s easy to envision a future where people could have an expert AI assistant by their side, through a phone or glasses.” Google says that some of these capabilities will be coming to its products later this year. Developers can find all of the Gemini-related announcements they need here. See also: GPT-4o delivers human-like AI interaction with text, audio, and vision integration Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The post Google ushers in the “Gemini era” with AI advancements appeared first on AI News. View the full article