Remove AI Modeling Remove Automation Remove ESG
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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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How deep industry expertise enables breakthrough technology for today’s complex business needs

IBM Journey to AI blog

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

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How to accelerate your data monetization strategy with data products and AI

IBM Journey to AI blog

Data products come in many forms including datasets, programs and AI models. Take the example of a client who integrated a set of disparate company ESG data into a new dataset. Their data services were a full dataset download plus an API wrap around the data, which could be queried for ESG data based on a company ticker symbol.

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Raj Bakhru, Co-founder and CEO of BlueFlame AI – Interview Series

Unite.AI

Formerly Chief Strategy Officer at ACA, Raj oversaw corporate development and M&A, also serving as Interim Co-CEO, Chief Innovation Officer, and Head of RegTech and ESG. Thank you for the great interview, readers who wish to learn more should visit BlueFlame AI. to complete deals.

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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. Siloed processes can become integrated by using intelligent workflows, which help enable seamless and automated exchange of financial, informational and physical supply chain data in one distributed network.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A Gartner, Inc.

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

IBM Journey to AI blog

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes. Much more can be said about IT operations as a foundation of modernization.