Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes
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AI-First Strategy Fails Without Strong Foundations
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Everyone wants to be AI-first. Almost no one wants to fix the foundations. AI agents. LLMs. MCPs. A2A everywhere. Because that’s what everyone is talking about. CEOs push the “AI-first” narrative. More demos. More prototypes. More speed. Impressive on the surface. But what stands out to me is what’s missing underneath. Data quality. Culture. Skills. Clear ownership. The invisible layer. And nobody pays attention to what they can’t see… until it breaks. That’s usually when the polished POCs fail in production. The shift here is fundamental. AI doesn’t fail at the top. It fails because the foundation was never finished. This is where things change. Foundations aren’t boring work. They’re the only reason anything above them stays standing. So here’s the real question: Are you building AI for visibility… or building something that can actually last? #ArtificialIntelligence #AI #AITransformation #Leadership #FutureOfWork #Innovation
→ View original post on X — @pascal_bornet, 2026-04-02 10:00 UTC
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Onyx’s Superior Data Indexing vs Claude’s MCP Connectors
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Been using this over the past few weeks and I noticed that the connectors are built far better than what I found in Claude. Essentially, unlike Claude's MCP connectors that query your tools at runtime, Onyx actually indexes and continuously syncs with internal data. So when I
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Foundation for Machine Learning: Comprehensive Guide
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A Greater Foundation for Machine Learning. Ft. @gp_pulipaka
! @readersdigest #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding -

History of Machine Learning: Technologies and Evolution
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Great Learning!: History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -

GPT Generative AI and LLM Technologies Overview
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GPT, Generative AI, and LLM! @AverConferences #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode http://
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RDF Graph Data Engineering at Planetary Scale
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Graph Data Engineering with RDF Processing at the Scale of Planet. by – @gp_pulipaka #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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Red Lion Recognized by UK IoT Developer for AI Innovation
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Red Lion, Recognized by UK-Based Developer of #IoT! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Best Books to Read 2023: Data Science and AI
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Best #Books to Read! for 2023 – by @bookauthority
! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
lnkd.in/gxjbN9FP -

MIT Offers 35 Free Machine Learning and AI Courses Online
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MIT: 35 Best Courses in Machine Learning! @MIT Explore a world of knowledge with free online courses from MIT on edX, featuring lessons in AI, machine learning, computer science engineering, circuits and electronics, Genetics, data science, statistics and much more. Many
