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The CIO’s 2024 AI playbook

CIO Business Intelligence

For enterprise executives in 2024, that means right-sizing those expectations and getting to work: justifying the right use cases, forming teams, and tracking progress and ROI. After a year of frenzied experimentation and investment, executives will have to identify truly valid use cases (and ROI) for AI in 2024.

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Join us at the forefront of AI for business: Think 2024

IBM Big Data Hub

You need to move beyond experimentation to scale. Join us in Boston for Think 2024, a unique and engaging experience that will guide you on your AI for business journey, no matter where you are on the road. Begin building your blueprint to becoming a company that leads with AI for maximum ROI. You have to move fast.

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13 IT resolutions for 2024

CIO Business Intelligence

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. Here’s what they list as their 2024 resolutions. He sees 2024 as the year to have good answers.

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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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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. times higher ROI. times higher ROI.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Teams are comfortable with experimentation and skilled in using data to inform business decisions. However, it’s likely that organizations will find it difficult to compete without some level of cloud maturity, since 70% of workloads will be on the cloud by 2024, according to Gartner.

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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.