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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. With Databricks, the firm has also begun its journey into generative AI.

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10 generative AI certs and certificate programs to grow your skills

CIO

Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives.

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Marsh McLellan IT reorg lays foundation for gen AI

CIO

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. With Databricks, the firm has also begun its journey into generative AI.

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LexisNexis rises to the generative AI challenge

CIO

IT leaders looking for a blueprint for staving off the disruptive threat of generative AI might benefit from a tip from LexisNexis EVP and CTO Jeff Reihl: Be a fast mover in adopting the technology to get ahead of potential disruptors. We use AWS and Azure. But the foray isn’t entirely new. We will pick the optimal LLM.

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Nvidia’s ‘hard pivot’ to AI reasoning bolsters Llama models for agentic AI

CIO

The enhancements aim to provide developers and enterprises with a business-ready foundation for creating AI agents that can work independently or as part of connected teams. Post-training is a set of processes and techniques for refining and optimizing a machine learning model after its initial training on a dataset.

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Dairyland powers up for a generative AI edge

CIO

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. We just came out of the gates fast, and we just kept solving problems,” the CIO says, noting that his team was experimenting with Azure LLMs before they were on the market. “We