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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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What’s holding back CIO’s AI strategies? Their own AI learning curve for one

CIO

A lack of AI expertise is a problem, however, when other company leaders often turn to CIOs and other IT leaders as the “go-to people” for solving AI problems, says Pavlo Tkhir, CTO at Euristiq, a digital transformation company. “A Tkhir calls on organizations to invest in AI training.

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Why CIOs need a two-tier approach to gen AI

CIO

CIOs failing to gain organizational traction with generative AI might want to rethink how they are introducing the technology — and how they are honing their AI strategies to suit. Guidelines, however, are important especially with this tier of AI offerings because some may repurpose the company data that’s entered.

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GenAI sticker shock sends CIOs in search of solutions

CIO

The early bills for generative AI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. CIOs are also turning to OEMs such as Dell Project Helix or HPE GreenLake for AI, IDC points out.

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Build custom generative AI applications powered by Amazon Bedrock

AWS Machine Learning - AI

I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. As we’ve all heard, large language models (LLMs) are transforming the way we leverage artificial intelligence (AI) and enabling businesses to rethink core processes.

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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says. Some companies are already on the bandwagon.

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CIOs’ lack of success metrics dooms many AI projects

CIO

Combined with an April IDC survey that found organizations launching an average of 37 AI POCs, the September survey suggests many CIOs have been throwing the proverbial spaghetti at the wall to see what sticks, says Daniel Saroff, global vice president for consulting and research services at IDC.

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