Switzerland isn't Western Europe It's barely Europe tbh
DATA
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Enterprise Knowledge Assistant with AI-Powered Document Answers
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Turn enterprise documents into answers your teams can trust.
— Databricks (@databricks) 13 mars 2026
With Agent Bricks Knowledge Assistant, teams can:
– Launch a managed knowledge agent in minutes
– Get accurate, page-level citations
– Improve answer quality with Instructed Retrieval
– Apply expert guidance at scale… pic.twitter.com/iOq9QeOSydTurn enterprise documents into answers your teams can trust. With Agent Bricks Knowledge Assistant, teams can:
– Launch a managed knowledge agent in minutes
– Get accurate, page-level citations
– Improve answer quality with Instructed Retrieval
– Apply expert guidance at scale -
Manufacturing digitalization: data analytics and AI platforms gap
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Marc Jackle of MaibornWolff at IIoT World Manufacturing Day: the biggest gaps in manufacturing digitalization are not in connectivity but in data analytics and AI platforms. The pipes work. The problem is what flows through them.
— Lucian Fogoros (@fogoros) 13 mars 2026
Partner content with Cybus. #cybus_iiot pic.twitter.com/TKnzmqEqqOMarc Jackle of MaibornWolff at IIoT World Manufacturing Day: the biggest gaps in manufacturing digitalization are not in connectivity but in data analytics and AI platforms. The pipes work. The problem is what flows through them.
Partner content with Cybus. #cybus_iiot -
Kill Vector Databases: Alternative Retrieval Solutions at Scale
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"Kill vector databases" is a bold claim haha. We'll see that at scale! Curious what the alternative retrieval layer actually looks like in practice.
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Industrial Intelligence Reshapes Global Power Balance
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The defining shift of our era is Industrial Intelligence.
— Nina Schick (@NinaDSchick) 13 mars 2026
AI is turning intelligence into a strategic utility powered by energy, compute, chips, and infrastructure. The societies that build this new industrial base will shape the balance of power in the 21st century. pic.twitter.com/ErguoC90EOThe defining shift of our era is Industrial Intelligence. AI is turning intelligence into a strategic utility powered by energy, compute, chips, and infrastructure. The societies that build this new industrial base will shape the balance of power in the 21st century.
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Framework for Understanding Technical Organization Metrics
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A framework for making sense of metrics in technical organizations https://
buff.ly/2KXCf7N
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
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/
@techNmak -
SAS Educator Portal: Free Resources and Certification Pathways
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The SAS Educator Portal was built just for educators, with a variety of instructional materials to meet your needs. Explore all the resources now – from free software to certification pathways to educator discounts. http://
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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