Remove 2024 Remove Experimentation Remove Modeling Remove Risk
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3 key digital transformation priorities for 2024

CIO Business Intelligence

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

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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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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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The path to socially responsible AI

CIO Business Intelligence

AI is like the discovery of fire—it’s a great tool if you know how to use it, but if you don’t use it responsibly (or use a model built responsibly), it will burn you. 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. Consider the following: Do you need a public foundation model? times higher ROI.

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King County enlists AI to reduce drug overdose deaths

CIO Business Intelligence

Like many public health agencies across the US, the King County Medical Examiner’s Office tracks drug overdose deaths to target interventions for populations at risk and save lives. During the second phase, NLP and ML models created and trained by the King County Department of IT extract the pertinent information from these digitized reports.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.