LLM Observability No matter how simple or complex your LLM app is, you must learn how to implement tracing, logging, and dashboards to monitor prompts, responses, and failure cases. Opik helps you build, evaluate, and optimize LLM systems that run better, faster, and
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LoopTool: LLMs Learn Tool Use Through Adaptive Data Synthesis
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What if LLMs could learn tool use faster by fixing their own training data gaps? SJTU & Xiaohongshu just built LoopTool for this. It closes the loop between data synthesis and model training, using the model’s own weaknesses to refine datasets adaptively. It probes what the
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Building Medallion Architecture in BigQuery with AI Natural Language
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Tired of manually building data pipelines? Learn how to build a Medallion Architecture in #BigQuery using just natural language. The new Data Engineering Agent turns simple prompts into bronze, silver, and gold layers with complex data quality rules → goo.gle/4abwe62
→ View original post on X — @marcusborba, 2025-11-28 20:00 UTC
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Edmunds Mind: AI-native multi-agent ecosystem delivers 95% analytic accuracy
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Edmunds Mind is an AI-native, multi-agent ecosystem built on Databricks. By unifying data and automating expert workflows, @edmunds has moved from static dashboards to real-time, intelligent automation. See how specialized agents like DataDave now deliver 95% analytic accuracy,
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Python Essentials for Data Visualization Guide
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A breakdown of all Python essentials & how they can help you code data visualizations, v/
@TDataScience
: https://
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AI Accelerates Manufacturing Decisions and Quality Improvements
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From one audience question to expert advice on speeding decisions and improving quality with AI—here’s what manufacturers need to know → https://
buff.ly/SV2yiEq #sponsored #archsystems_iiot @archsys_io @ZF_Group @CESMII_SM @IIoT_World via @fogoros -
Decentralized Identity: Autonomous Personal Data Management
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Decentralized identity offers a way for people to guide their personal data with autonomy, using secure technologies and selective disclosure while maintaining privacy and creating a flexible structure that works across different services. Microblog by @antgrasso #DigitalID
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Data Quality Critical for AI Success: Clean Before Deploying
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AI can’t fix bad data — it amplifies it.
One flawed data stream can cost millions in faulty predictions or supply chain failures.
Learn how to clean, validate & structure data before it hits your AI.
Save your spot: https://
buff.ly/M68nFKw #sponsored #atelic_iiot #IIoTWorldDay -
Siemens AI Operational Insights Transform Energy Transition Strategy
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Live operational views and predictive insights replace guesswork with immediate clarity—for safer decisions and faster output gains. [Sponsored]
— Lucian Fogoros (@fogoros) 27 novembre 2025
Meet @Siemens at #EnergyLIVE, Booth 641-643. https://t.co/XCSDv70OuK#sie_automation #Hydrogen #EnergyTransition @IIoT_World pic.twitter.com/U8cVLdjeSlLive operational views and predictive insights replace guesswork with immediate clarity—for safer decisions and faster output gains. [Sponsored] Meet @Siemens at #EnergyLIVE, Booth 641-643. https://
buff.ly/BwxV75s #sie_automation #Hydrogen #EnergyTransition @IIoT_World -
Enterprise Deep Research: Leveraging AI Over Company Data
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Fantastic video. I love the way @ofermend explains things. Any enterprise who wants to leverage AI over their own data should see the power of Enterprise Deep Research shown here: