Articles about Generative AI

In a little more than a decade, data analytics has been through several big transformations. First, it became digitized. Second, we witnessed the emergence of 'big data' analytics, driven partly by digitization and partly by massively improved storage and processing capabilities.

Finally, in the last couple of years, analytics has been transformed once again by emerging generative AI models that can analyze data at a previously unseen scale and speed.

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New research from Legit Security shows that widely available GenAI development services risk sensitive information exposure, or leakage of secrets.

Legit's analysis of unprotected vector databases finds that 30 servers investigated contained corporate or private data, including company email conversations, customer PII, product serial numbers, financial records, resumes, and contact information.

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CrowdStrike has announced its integration of the Falcon cybersecurity platform with NVIDIA NIM Agent Blueprints, aimed at helping developers securely utilize open-source foundational models and accelerate generative AI innovation.

Developing enterprise-grade generative AI applications involves a complex process that requires blueprints for standard workflows—such as customer service chatbots, retrieval-augmented generation, and drug discovery—to streamline development. Ensuring the security of these models and the underlying data is essential for maintaining the performance and integrity of generative AI applications.

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In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol -- founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys -- delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence.

In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

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Generative AI started out as a bit of a novelty, allowing you to create writing or artwork based on simple prompts. But increasingly it's having an impact on many areas of the world, from writing code to composing music and aiding research.

In a new book, Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society, futurist and thought leader Bernard Marr takes a closer look at the impact of GenAI. We talked to him to find out more.

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Generative AI is hard to avoid whether you like it or not. Images created by artificial intelligence proliferate online, as do news reports and countless other types of content -- including essays and research articles.

While it is sometimes incredibly easy to tell when Gen AI has been used to create a portion of text, this not always the case. But that could be set to change as OpenAI is working on a way to watermark Gen AI text, just as has been possible with images created by AI.

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While 27 percent of security experts perceive AI and deepfakes to be the biggest cybersecurity threats to their organisations not all have a responsible use policy in place.

The third part of a survey of over 200 information security professionals carried out at Infosecurity Europe 2024 has been released today by KnowBe4 and it finds 31 percent of security professionals admit to not having a 'responsible use' policy on using generative AI within the company currently in place.

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Almost half of financial services leaders had a positive view of AI in 2023. But despite this initial excitement, the implementation of planned initiatives this year has been sluggish.

A new report from Lucidworks finds only one in four AI projects have been deployed, similar to many of the other industries surveyed. In 2023, the most common expected impact of Gen AI for financial services was business operations improvement. The majority of deployed initiatives followed suit in 2024, however, the industry reports below average cost and revenue benefits.

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A new study from Checkmarx shows that 99 percent of enterprises are using AI code generation tools, yet only 29 percent have established any form of governance.

The survey of 900 CISOs and application security professionals worldwide finds 15 percent of respondents have explicitly prohibited the use of AI tools for code generation within their organizations.

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Accenture has unveiled its Accenture AI Refinery framework, built on NVIDIA AI Foundry, to help clients develop custom LLM models using the newly introduced Llama 3.1 collection. This framework, part of Accenture’s foundation model services, is designed to enhance the use of generative AI by allowing businesses to create LLMs tailored to their specific domains and business processes.

The AI Refinery framework includes four main components: domain model customization and training, the Switchboard platform for model selection, an enterprise cognitive brain for indexing corporate knowledge, and Agentic architecture for autonomous AI actions.

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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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