Enterprise AI
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Why RAG Is a Workaround, Not an Architecture
Most enterprise AI deployments today are built on RAG. Retrieval-augmented generation. Vector stores feeding context into language models. Some flavour…
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AI Accuracy Crisis Forces Shift Toward Deterministic Enterprise Systems
Artificial intelligence adoption is moving fast, but the value is not showing up where it matters. Companies have invested up to $40 billion into GenAI, yet 95%…
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The AI bubble is Real, But the Problem Isn’t What You Think.
In October 2025, when credit markets looked stable and strong, I warned that a private credit winter was coming. I…
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Scaling AI in the Enterprise: Lessons from Intelligent Workflows and Automation with Nirmal Ganesh
As artificial intelligence moves beyond experimentation and into day-to-day business operations, organizations are increasingly focused on how AI can improve…
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Krane Wants to Fix Construction’s 47-Day Supply Chain Blind Spot with ‘Procurement OS’
Building anything complex right now is a logistical nightmare. Between geopolitical friction, tariff volatility, and the insatiable infrastructure demands of…
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Sema4.ai Unveils New Features to Help Enterprises Push AI Agents into Production
The enterprise AI market is currently undergoing a painful, if necessary, vibe check. After two years of breakneck spending on…
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Enterprise AI has a vendor dependency problem
I spend a lot of time in rooms with enterprise technology leaders who are deeply invested in AI. They’ve deployed copilots, run…
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Adaptive Innovations Emerges with $50M Series A to Build Healthcare Abundance with AI Native Homecare Agency
For as long as modern medicine has existed, one of the biggest hurdles to delivering widespread and affordable care hasn’t…
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Rethinking the AI Stack: How Enterprises Are Navigating Fragmented Adoption and Scalability
For the past two years, the idea of a “modern AI stack” has been widely presented as a natural next…
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