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8 pressing needs for CIOs in 2024

CIO Business Intelligence

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024. Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. Third, in the CDO Agenda: 2024: Navigating Data and Generative AI Frontiers , 57% of respondents haven’t changed their data environments to support generative AI.

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The new CIO mandate: Selling AI to employees

CIO Business Intelligence

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. They need to have a culture of experimentation.” CIOs should be “change agents” who “embrace the art of the possible,” he says.

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

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The path to socially responsible AI

CIO Business Intelligence

Developers need tools and resources to produce quality, safe, and secure products, while enterprises need to trust the tools and resources to not introduce risk to their business. Interacting with AI data or experiences in silos introduces risk and increases inefficiencies because it’s kept separate. Artificial Intelligence

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How to become an AI+ enterprise

IBM Big Data Hub

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. Otherwise, the risks become too significant.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. 46% of survey respondents in 2024 showed a preference for open source models.