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The big providers spend a lot on artificial intelligence, but they are not offering the things enterprises care about most. Here are the important questions to ask.
CIOs from a range of industries discuss how AI’s emergence as a transformative force is leading them to adapt and reimagine how IT operates to better harness the technology’s potential to revolutionize their business.
Big cloud brands are using nonexistent AGI as a marketing gimmick to boost interest in their cloud offerings.
Consider these six ways to approach AI to help your organization unlock efficiencies while preventing major setbacks and significant cost overruns.
A recent Deloitte study finds that public cloud is not the best TCO option for AI infrastructure.
Spiking cloud costs are bad enough, but the mounting technical debt can put a real dent in your production roadmap. Here’s how smart organizations are shifting left on finops, before disaster strikes.
Measuring and measurements are taking over software development. Let’s not lose sight of what really matters.
AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to keeping them on track.
Dead code, security false positives, and idle cloud capacity are the leading drags on devops in Java environments. Here’s how to address them.
Learn how data fabric addresses fragmentation, compliance, and Shadow IT to deliver robust, centralized data protection and governance.