Enterprise AI is missing the business core

One of the more dangerous assumptions in the current AI market is that broad adoption means meaningful adoption. It does not. Much of what enterprises call AI transformation is, in fact, AI experimentation focused at the edge of the business, in systems and workflows that support employees but are not central to how the enterprise…

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AI optimization: How we cut energy costs in social media recommendation systems

When you scroll through Instagram Reels or browse YouTube, the seamless flow of content feels like magic. But behind that curtain lies a massive, energy-hungry machine. As a software engineer working on recommendation systems at Meta and now Google, I’ve seen firsthand how the quest for better AI models often collides with the physical limits…

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How to build an enterprise-grade MCP registry

Just as integration catalogs were must-haves at the peak of SaaS, Model Context Protocol (MCP) servers are now becoming all the rage for connecting AI agents and enterprise systems.  In this paradigm, developers aren’t hand-coding API calls to external systems, nor are users clicking “click to integrate” and entering credentials into GUIs. Instead, agentic systems are…

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