Articles about Artificial Intelligence (AI)

New research from Netskope Threat Labs has found that 94 percent of organizations are now using GenAI apps, but interestingly more than 99 percent have controls in place to mitigate the risks that they pose.

Organizational use of GenAI has grown from 81 percent of companies using the apps in 2023. ChatGPT continues to be the most popular genAI app, being used in 84 percent of organizations.

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Newly released usage data from the O'Reilly online learning platform reveals that interest in AI-related skills has surged dramatically, with the most pronounced usage increases seen in topics like prompt engineering (456 percent increase), AI principles (386 percent increase), and generative AI (289 percent increase).

Use of content about GitHub Copilot has seen a dramatic increase too, by an impressive 471 percent, reflecting developers’ enthusiasm for tools that enhance productivity.

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The state of high-profile cyber incidents in recent years has highlighted the fact that defenses need to be kept up to date to provide adequate protection.

AI and machine learning have the potential to transform security operations to enhance protection against emerging threats. We spoke to Gurucul CEO Saryu Nayyar to get her view on how protection technologies are evolving and why this is so crucial.

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Artificial intelligence is creeping into more and more areas of business and consequently we’re seeing it used for ever more complex work.

We spoke to Trey Doig, CTO and co-founder at Echo AI, to find out more about AI agents and how they can help solve problems and carry out tasks.

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Data comes in many forms, it may be structured, it may be unstructured, it could be sensitive or purely statistical. Whatever it looks like you can only benefit from it if you know what you have, where it can be found and how to access it.

We spoke to Brett Hurt, CEO and co-founder of data.world to discuss how enterprises can understand their data and derive the maximum value from it.

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With the intense interest in AI and its rapid pace of embrace, organizations are under pressure to swiftly evaluate their data architecture. AI architects urgently need solutions that harness AI to boost revenue streams and streamline operational efficiencies, all while navigating the potential barriers to their success.

David Flynn, co-founder and CEO of Hammerspace, a specialist in the use and preservation of unstructured data, recently shed light on the growing complexity IT teams face in managing data pipelines. This complexity is further compounded as organizations integrate LLMs into AI applications, underscoring the significant obstacles to successful AI adoption.

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In the past year economic and business pressures, the rise of AI technologies talent shortages and more have put a strain on code pipelines and increased demands on developer teams. This in turn leads to fears around developer strain, product launch timescales and cybersecurity risks.

So what might 2025 have in store for developers? Here's what some industry experts think.

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Artificial intelligence has been one of the fastest growing areas in the tech sector over the past few years.

As AI becomes more commonly adopted what changes can we expect to see happening in 2025? Here are some expert views.

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Businesses are often under pressure to deliver AI agents, but development teams are struggling with siloed tools, fragmented governance and limited functionality that makes promising prototypes unfeasible in production.

According to a survey of over 1,000 enterprise technology leaders released today by Tray.ai, 42 percent of respondents need access to eight or more data sources to deploy AI agents successfully -- which is impossible when SaaS app agents are restricted in scope by the integrations to which their host applications have access.

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The banking and finance sector has already seen some major changes in technology use in recent years. These show no signs of slowing down but newer developments like AI are starting to have an impact too.

Here are some expert views on what may be in store for the fintech sector in the year to come.

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New research shows 88 percent of security leaders believe machine identities, specifically access tokens and their connected service accounts, are the next big target for attackers.

The survey from Venafi of 800 security and IT decision-makers from large organizations across the US, UK, France and Germany, finds 56 percent have experienced a security incident related to machine identities using service accounts in the last year.

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As we approach the end of the year it's time to start wondering what the next one will have in store. As always we'll be running a series of pieces looking at what industry experts think will be key tech industry trends for 2025.

We start with a look at quantum, which is getting ever closer to widespread commercial deployment and could open up great opportunities but is also leading to increasing fears about security.

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At the dawn of a new year most people plan to make lifestyle changes like losing weight or giving up smoking. But new research commissioned by Tech Show London reveals that over 12 million UK consumers plan to make learning AI a New Year's resolution for 2025.

This growing interest in mastering AI signals a shift towards greater understanding and engagement with the technology that is increasingly shaping our lives. 46 percent of those surveyed agree that AI will fundamentally transform our relationship with technology.

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AI, and generative AI in particular, is expected to greatly enhance productivity within work processes. Some studies estimate that generative AI could contribute between $2.6 trillion and $4.4 trillion annually to the economy.

However, AI infrastructure is costly because the underlying algorithmic problems are extremely computationally intensive and this means there's a potential gap between demand and the capacity needed to meet it.

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A new study finds 25 percent of respondents have encountered AI-enhanced security threats related to APIs or LLMs, with 75 percent of respondents expressing serious concern about AI-enhanced attacks in the future.

The research from API specialist Kong shows that although 85 percent say they're confident in their organization's security capabilities, 55 percent of respondents have experienced an API security incident in the past year, highlighting a notable disconnect.

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