Remove AI Modeling Remove ESG Remove Explainability
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AI in 2025: Purpose-driven models, human integration, and more

AI News

For this article, AI News caught up with some of the worlds leading minds to see what they envision for the year ahead. Smaller, purpose-driven models Grant Shipley, Senior Director of AI at Red Hat , predicts a shift away from valuing AI models by their sizeable parameter counts. The solutions?

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IBM Connected Trade Platform helps power the digitization of trade and supply chain financing

IBM Journey to AI blog

Supplier visibility and traceability is growing in importance to help achieve environmental, social and governance (ESG) targets. From a buyer’s perspective, it can drive significant improvement in working capital, superior supplier performance and accelerated ESG initiatives.

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The Alignment Problem Is Not New

O'Reilly Media

Attempts to add environmental, social, and governance (ESG) constraints have had only limited impact. As long as the master objective remains in place, ESG too often remains something of an afterthought. Much as we fear a superintelligent AI might do, our corporations resist oversight and regulation. This is a mistake.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Journey to AI blog

Through the watsonx platform, IBM is making significant strides in delivering foundation models that are targeted to the needs of business users: the fit-for-purpose data store provided in watsonx.data , built on an open lakehouse architecture, allows enterprises to personalize their models wherever their workloads reside.