I mapped out the tech community here: https://
x.com/scobleizer/lis
ts
… Most complete of such on X. Hope it helps and welcome back
ENTERPRISE AI
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Tech Community Mapping on X: Complete Directory
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AI Agents Automate Operational Tasks with Emergent Wingman
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I collaborated with Emergent several times, but this is a really awesome new update:
— Chubby♨️ (@kimmonismus) 15 avril 2026
A surprising amount of work stress comes from the small operational tasks you have to stay on top of – so I set up a team of agents with @emergentlabs's Wingman to manage them.
The biggest… pic.twitter.com/HdTVFm8cUFI collaborated with Emergent several times, but this is a really awesome new update: A surprising amount of work stress comes from the small operational tasks you have to stay on top of – so I set up a team of agents with @emergentlabs
's Wingman to manage them. The biggest -
Three Keys for Companies to Master AI in 2026-2028
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My takeaway is simple: The next 2 to 3 years will reward companies that do 3 things well: → use AI internally, so leadership understands it firsthand
→ build with a clear path from pilot to industrialization
→ take control of their own models, data, and evaluation strategy -
AI Transforms Software Development: Testing, Evaluation, Optimization
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The shift happening right now is bigger than "which model should we use?" AI is becoming a new way of building software. That means leaders need to think in terms of: → test cases
→ evaluation frameworks
→ feedback loops
→ continuous optimization If you cannot define -
Open Custom Models Strategic Advantage Over Vendor Lock-in
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The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack
→ Less vendor lock-in
→ Better fit for regulated industries
→ More value from your own enterprise data and IP General -
Enterprise AI Success: Evaluation Over Model Selection
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Most enterprises do not have an AI model problem.
— Ronald van Loon (@Ronald_vanLoon) 15 avril 2026
They have an evaluation problem.
That was one of my biggest takeaways from my conversation with @karibriski from Nvidia and @Toucas from Mistral AI at GTC.
In the agentic era, the winners will not be the companies running the… pic.twitter.com/woUGWQp3MkMost enterprises do not have an AI model problem. They have an evaluation problem. That was one of my biggest takeaways from my conversation with @karibriski from Nvidia and @Toucas from Mistral AI at GTC. In the agentic era, the winners will not be the companies running the
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Telecom Infrastructure Becomes Distributed AI Compute Layer
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Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations.
— NVIDIA AI (@NVIDIAAI) 15 avril 2026
NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze… pic.twitter.com/wnYyAnABD0Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze
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Building Better AI Agents with Traces and LangChain
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Join us in NY for a meetup on building better agents with @palashshah
, Applied AI Engineer @LangChain
. Palash will walk through the agent improvement loop and how teams use traces as the foundation for continuous improvement. We’ll cover how to:
– Capture traces of real agent -
Challenges of Implementing AI Code in Enterprise Tools
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I don't feel like people would be vibe coding slack or workday, it is still a lot of work getting these right even with perfect coding ability