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How Tech Leaders Are Using AI to Solve 10 Procurement Challenges

CIO

And yet, three to six months or more of deliberation to finalize a software purchasing decision. No wonder 90% of IT Executives in North America see software sourcing and vendor selection as a pain point. Read on to gain insights that can help you procure a strategic advantage with AI.

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Radar Trends to Watch: November 2024

O'Reilly Media - Ideas

OpenAI has also released Canvas , an interactive tool for writing code and text with GPT-4o. to 72B parameters, is getting impressive reviews. It will become increasingly necessary as software incorporates AI and IT teams need to become specialists in AI infrastructure. Feel free to join the experiment. But table tennis?

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AI dominates Gartner’s 2025 predictions

CIO

Guardian Agents’ build on the notions of security monitoring, observability, compliance assurance, ethics, data filtering, log reviews and a host of other mechanisms of AI agents,” Gartner stated. “In Agentic AI will be incorporated into AI assistants and built into software, SaaS platforms, IoT devices and robotics.

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IT pros: One-third of AI projects just for show

CIO

This trend is concerning,” he says. “AI They’re often poorly planned and executed, making it hard to prove their worth.” “You can probably solve that with an RPA bot, or you could probably solve that with some custom code.” AI projects without clear goals or measurable outcomes are unlikely to deliver real value.

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Global AI regulations: Beyond the U.S. and Europe

CIO

Building on that perspective, this article describes examples of AI regulations in the rest of the world and provides a summary on global AI regulation trends. The G7 collection of nations has also proposed a voluntary AI code of conduct. An earlier article described emerging AI regulations for the U.S. and Europe.

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7 signs it’s time to modernize your IT systems

CIO

This is true whether it’s an outdated system that’s no longer vendor-supported or infrastructure that doesn’t align with a cloud-first strategy, says Carrie Rasmussen, CIO at human resources software and services firm Dayforce. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.

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When is data too clean to be useful for enterprise AI?

CIO

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine.

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