The irony of AI hiring humans is peak 2026. Though honestly this might be the real business model… AI as the project manager nobody asked for.
ENTERPRISE AI
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IT Leaders Resist Premature GenAI Adoption Without Infrastructure
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57% of IT leaders feel like they are being pushed by business leaders to adopt GenAI tools before the organization is truly prepared. It’s a classic case of ambition outrunning the infrastructure. The most successful teams in 2026 are those who have the courage to say "not yet"… pic.twitter.com/OhCK6dpPwT
— Lucian Fogoros (@fogoros) 13 mars 202657% of IT leaders feel like they are being pushed by business leaders to adopt GenAI tools before the organization is truly prepared. It’s a classic case of ambition outrunning the infrastructure. The most successful teams in 2026 are those who have the courage to say "not yet"
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Free ML System Design Case Studies Repository 80+ Companies
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A free repository of curated ML system design case studies from 80+ leading companies: https://
bit.ly/4kMcGbQ v/
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AWS and Cerebras Partner for Order of Magnitude Faster Inference
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We're teaming up with @cerebras to build the fastest possible inference. Coming soon to Amazon Bedrock, we’re delivering inference performance an order of magnitude faster than what’s available today by connecting AWS Trainium3 for compute-intensive prefill with Cerebras CS-3 to power decode. Learn more about the partnership. go.aws/3Pzcota
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AI Transforms Internet Infrastructure for AI Supercycle Era
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AI Will Change the Internet Forever — Why Networks Must Evolve for the AI Supercycle AI isn’t just increasing internet traffic — it’s fundamentally changing how data flows across networks, forcing infrastructure to evolve for a new AI-driven era. Read more
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Databricks Genie enables AI-powered data queries in workflow
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Data questions don't happen in a vacuum. They come up mid-conversation in Microsoft Teams, in a Slack thread, or inside a custom app. But getting a governed, accurate answer has always meant switching contexts or waiting on someone else.
— Databricks (@databricks) 13 mars 2026
Databricks Genie now works directly… pic.twitter.com/lYa1o9PkruData questions don't happen in a vacuum. They come up mid-conversation in Microsoft Teams, in a Slack thread, or inside a custom app. But getting a governed, accurate answer has always meant switching contexts or waiting on someone else. Databricks Genie now works directly
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Siemens Unified Data Fabric: From Collection to AI Action
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#PaidPartnership with Siemens.
— Lucian Fogoros (@fogoros) 13 mars 2026
Collecting shop floor data is step one. Connecting it is step two. The real value is in step three: contextualizing it so AI can act on it with confidence. @Siemens calls this the unified data fabric. They are demonstrating the full approach live… pic.twitter.com/igLP73Ai6C#PaidPartnership with Siemens. Collecting shop floor data is step one. Connecting it is step two. The real value is in step three: contextualizing it so AI can act on it with confidence. @Siemens calls this the unified data fabric. They are demonstrating the full approach live
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Data Privacy and On-Device Model Learning Infrastructure
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Conversation data stays on your infrastructure. The model learns from your actual usage patterns
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Cohesity CEO: AI is a tsunami, surf it or be buried
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Cohesity CEO: ‘AI is a tsunami coming at you, you’re either buried or you surf it’ Please enjoy my interview with Cohesity CEO Sanjay Poonen. Sanjay Poonen of privately held Cohesity is glad his company is still private in a stock market that is very unfriendly to software shares at the moment. Still, he is optimistic that in coming quarters, major software makers will prove the “Death by AI” mania is wrong. In the meantime, he boasts that an increasing amount of Cohesity code can be automated via AI. “Thirty to forty percent of our code now is being generated with Claude Code.” thetechnologyletter.com/the-… $RBRK $CVLT
→ View original post on X — @tiernanraytech, 2026-03-13 14:12 UTC
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DataRobot addresses LLM production deployment challenges
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One more weekend before @NVIDIAGTC
. @DataRobot is going to be there in full force! See you there? Big theme – getting that LLM into production. The model is the easy part. We wrote about the hard part →