Articles about Generative AI

Since ChatGPT's launch in 2022, there's been an explosion of speculative use cases for generative AI in the workforce -- and concern from the cybersecurity community over an unproven, unvetted, and potentially powerful new tool.

How have those concerns played out in the real world? We sat down with Nick Hyatt, director of threat intelligence at Blackpoint Cyber, to hear about the reality of generative AI's risk to the modern workplace.

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Less than 60 percent of manufacturers plan to increase AI spending in 2024 compared to 93 percent in 2023, according to a new survey.

The study from Lucidworks gathered input from over 2,500 leaders involved in AI technology decision-making worldwide and finds in 2023 more than 40 percent of manufacturing leaders had a positive view of AI, with 93 percent planning to increase investments.

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As AI sees wider adoption, the demand for skills surrounding the technology inevitably increases too. By failing to act to address this AI skills and leadership vacuum organizations could be taking a significant risk.

We spoke to Arun 'Rak' Ramchandran, president and global head -- GenAI consulting and practice, hi-tech and professional services at Hexaware, to find out more about the problem and how it can be tackled.

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A new survey finds 73 percent of security professionals admit to using SaaS applications that have not been provided by their company's IT team in the past year.

This is despite the fact that they are acutely aware of the risks, with respondents naming data loss (65 percent), lack of visibility and control (62 percent) and data breaches (52 percent) as the top risks of using unauthorized tools.

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In spite of growing interest and enthusiasm for generative AI, significant challenges are emerging that threaten the success of projects, according to a new report.

The study, from Enterprise Strategy Group (ESG) and Hitachi Vantara, surveyed 800 IT and business leaders across the US, Canada, and Western Europe and finds only 44 percent of organizations have well-defined and comprehensive policies regarding GenAI.

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There's no doubt that artificial intelligence is flavor of the month at the moment. But for many people using AI and understanding what it can do for them remains something of a challenge.

Build-A-Brain is a new platform that aims to make AI accessible to anyone by acting as a sort of virtual executive assistant.

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The IT industry has been experiencing major turnover and burnout issues for years, and skilled workers are a rare commodity nowadays.

We spoke with Ariel Gesto, CEO and founder of InvGate, to find out how IT workers can automate tasks or make some tasks much easier to solve with gen AI.

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Today at its latest WWDC, Apple unveiled Apple Intelligence, a new artificial intelligence system integrated into the upcoming iOS 18, iPadOS 18, and macOS Sequoia operating systems. Making use of generative models and personal context, Apple Intelligence aims to simplify and enhance user tasks through deep integration with Apple devices.

Apple Intelligence introduces a wealth of new writing tools that allow users to rewrite, proofread, and summarize text across various apps including Mail, Notes, and Pages. The tools aim to improve writing efficiency and quality by providing different versions of text, grammar checks, and summaries.

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Hitachi and Microsoft have announced a strategic collaboration projected to be worth billions of dollars, aiming to drive generative AI innovations across various sectors.

As part of the agreement, Hitachi will integrate Microsoft's array of technologies, including Azure Open AI Service, Dynamics 365, Copilot for Microsoft 365, and GitHub Copilot, into its Lumada solutions. This move is poised to enhance the Lumada business, targeting a revenue goal of 2.65 trillion yen ($18.9 billion USD) for FY2024, and streamline processes for its 270,000 employees.

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Design and use generative AI prompts that get helpful and practical results in this concise and quick start guide.

In The Quick Guide to Prompt Engineering, renowned technology futurist and AI thought leader Ian Khan delivers a practical and insightful resource for taking the first steps in understanding and learning how to use generative AI. You will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, and Google’s Bard, and explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases.

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The secret to generative AI’s success is data. Vast volumes of data that are used to train the large language models (LLMs) that underpin generative AI’s ability to answer complex questions and find and create new content. Good quality data leads to good outcomes. Bad, deliberately poisoned, or otherwise distorted data leads to bad outcomes.

As ever more organizations implement generative AI tools into their business systems, it’s important to reflect on what attackers can do to the data on which generative AI tools are trained.

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The amount of corporate data workers put into AI tools increased 485 percent from March 2023 to March 2024, and is increasing exponentially. The trend is highest among tech workers with 23.6 percent putting corporate data into an AI tool.

A new report from Cyberhaven looks at AI adoption trends and their link to heightened risk. A worrying finding is that 73.8 percent of ChatGPT usage at work is through non-corporate accounts, that unlike enterprise versions incorporate whatever you share in public models.

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A new Dark Side of GenAI report from Immersive Labs looks at 'prompt injection' attacks, in which individuals input specific instructions to trick chatbots into revealing sensitive information, potentially exposing organizations to data leaks.

Using data gathered from a public prompt injection challenge the report finds a worrying 88 percent of participants successfully tricked the GenAI bot into giving away sensitive information in at least one level of an increasingly difficult challenge.

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Today, Lenovo announces the Lenovo Yoga Slim 7x and Lenovo ThinkPad T14s Gen 6, marking the debut of its next-generation AI PCs powered by the Snapdragon X Elite processor. As the PC industry transitions into the artificial intelligence era, Lenovo aims to redefine personalization in personal computing with these new offerings. These NGAIPCs combine intelligent software-powered local processing, increased productivity, creativity, and security to deliver an enhanced user experience.

The Yoga Slim 7x and ThinkPad T14s Gen 6 are equipped with Qualcomm Technologies’ new Snapdragon X Elite processor, which features the 12-core Qualcomm Oryon CPU, Qualcomm Adreno GPU, and a dedicated Qualcomm Hexagon NPU (neural processing unit). This combination promises leading PC performance per watt and up to 45 trillion operations per second (TOPS) in AI NPU processing. Users can now access Large Language Model (LLM) capabilities even offline, enhancing productivity and creativity without relying on an internet connection.

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Over half of CISOs believe generative AI is a force for good and a security enabler, whereas only 25 percent think it presents a risk to their organizational security according to a new survey.

The survey of the ClubCISO community, in collaboration with Telstra Purple, highlights CISOs' confidence in generative AI in their organizations.

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