Guided Transformer Graph! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Guided-Transfo
rmer
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Guided Transformer Graph Resource for ML and AI
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Why Everyone Wants AI Jobs But Nobody Wants Data Work
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Everyone wants to work in AI… until data is mentioned. That contrast says a lot about where we are today. I recently came across an experiment with 100+ postgraduate students. When asked who wanted to work in AI, every hand went up.
When asked about data, only a few -
Data Classification and Agent Identity Essential for Enterprise AI Governance
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Exactly, @Chels_LA , without data classification and clear agent identity, governance breaks down fast. These foundations are what turn AI from experimentation into something you can scale with confidence across the enterprise. Watch the full conversation here:
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Machine Learning Accelerates FDA Drug Submission Analysis at Scale
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RWE appears in 70% of FDA drug submissions. But manual analysis can't keep pace with growing data volumes. ML can, if your environment is built for it. Read the full article in @MedCityNews
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Modern BI Platforms Integrating AI With Unified Data Foundation
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Modern BI wasn’t built for AI. Fragmented tools, duplicated logic and inconsistent metrics make analytics harder to trust. A better approach brings data, semantics, dashboards and AI together on a single governed foundation. This guide explores how modern analytics platforms
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The Intentionality Problem in LLM Personalization and Memory
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IMO the main issue with personalization + LLMs is intentionality. The memory system designers so far have treated this like a data problem: data mine all the chats and you will surface useful memories. But you call out the exact issue with this data mining approach: just
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Sam Altman on OpenAI’s Strategy: Data Advantage for Wrapper Startups
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talked to a YC founder who asked Sam Altman straight up "will OpenAI compete in my space / kill my startup"
— Joseph Choi (@JosephKChoi) 25 mars 2026
the answer: behavioral health requires knowing if users are actually improving. OpenAI doesn't have that data, the wrapper startups do. v bullish for consumer AI pic.twitter.com/JYpMxEOhRbtalked to a YC founder who asked Sam Altman straight up "will OpenAI compete in my space / kill my startup" the answer: behavioral health requires knowing if users are actually improving. OpenAI doesn't have that data, the wrapper startups do. v bullish for consumer AI
→ View original post on X — @mattshumer_, 2026-03-25 18:19 UTC
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Industry 4.0 Solutions: AI and Automation for Enterprise
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Link to the resource: https://
iotechsys.com/wp-content/upl
oads/2025/11/industry-4-0-solutions-brief.pdf
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Unified Namespace Automation with Edge Central Data Tagging
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#Sponsored by @IOTechSystems
— Lucian Fogoros (@fogoros) 25 mars 2026
Everyone is talking about Unified Namespace. Few are actually implementing it. Edge Central has automated data tagging for UNS information models built right into the edge layer. That means your OT data arrives in UNS format without manual mapping.… pic.twitter.com/V3ANr1QbDx#Sponsored by @IOTechSystems Everyone is talking about Unified Namespace. Few are actually implementing it. Edge Central has automated data tagging for UNS information models built right into the edge layer. That means your OT data arrives in UNS format without manual mapping.
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Vector Search Limits: Ontology-First Approach for AI
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Yep!
— Charly Wargnier (@DataChaz) 25 mars 2026
Similarity ≠ relevance.
If your AI is relying on flat vector search, it's just blindly pattern-matching.@Hydra_db's a stunning tool that:
→ builds an ontology-first graph
→ maps entities and relationships
… so your AI stops guessing 🙂pic.twitter.com/uR2I6d1yoZ https://t.co/dwIiCltynlYep! Similarity ≠ relevance. If your AI is relying on flat vector search, it's just blindly pattern-matching. @Hydra_db
's a stunning tool that: → builds an ontology-first graph
→ maps entities and relationships … so your AI stops guessing 🙂