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Frameworks, analysis, and practical guidance for enterprise AI leaders.
Foundation models keep improving and getting cheaper. A new Stanford CodeX paper, co-authored by Aparna Sinha and Jay Mandal, ranks five product moats vertical AI companies can build to compete, from workflows and UX to embedded judgment.
Baker McKenzie & Legora on Build vs. Buy, Pricing, and the future of Legal AI
Coursera is a fourteen-year-old public company that transformed itself to the leading edge of AI. CTO Mustafa Furniturewala and Mint MCP founder Jiquan Ngiam break down how an established enterprise becomes AI-native: enablement, culture, and automation.
How the hardware giant mastered Agentic Commerce using Typesense's low-latency search engine.
The 'AI for All' Blueprint. How RBC built a self-service platform that turns 96,000 employees into builders, backed by MCP, OTel, and the Lumina data foundation.
Despite reports of its untimely death, MCP has grown 5,000% in 16 months with over 100 million monthly SDK downloads. Here's why the protocol is thriving and what it means for enterprise AI.
Why evals are the secret to reliable agents. Building an AI agent is relatively easy; making it reliable enough to handle mission-critical customer support and million-dollar freight logistics is the challenge.
How AI coding assistants are quietly shaping technology choices. As AI coding agents become indispensable, they're influencing which technologies we choose — and their recommendations aren't neutral.
Practical strategies for implementing AI at scale. Deep dives with real leaders implementing change — covering the reality of AI adoption inside companies.
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