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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

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CAIOs are stepping out from the CIO’s shadow

CIO

But the increase in use of intelligent tools in recent years since the arrival of generative AI has begun to cement the CAIO role as a key tech executive position across a wide range of sectors. In a survey from September 2023, 53% of CIOs admitted that their organizations had plans to develop the position of head of AI.

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Accelerating AI at scale without sacrificing security

CIO

For some, it might be implementing a custom chatbot, or personalized recommendations built on advanced analytics and pushed out through a mobile app to customers. With the rise of AI and data-driven decision-making, new regulations like the EU Artificial Intelligence Act and potential federal AI legislation in the U.S.

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5 findings from O'Reilly's machine learning adoption survey companies should know

O'Reilly Media - Data

New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work.

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The mainframe’s future in the age of AI

CIO

While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. The survey is cementing the fact that the IT world is hybrid,” she says. “The

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AI market evolution: Data and infrastructure transformation through AI

CIO

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Nutanix commissioned U.K.

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Application of advanced analytics and machine learning in the banking industry

Hacker Earth Developers Blog

Banks have always been custodian of customer data, but they lack the technological and analytical capability to derive value from the data. On the other hand, fintech companies have the analytical capabilities and, thanks to payments services directives, they now have access to valuable data. Impact areas. Source: McKinsey.