Everyone wants faster answers from their data. But no one wants more tools. That’s why we teamed up with @Atlassian to launch Databricks Query Runner—an AI agent that answers your data questions in natural language, right inside Rovo! Powered by Databricks AI/BI Genie.
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AI Evaluation Method Using Embeddings and Likert Ratings
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And before anyone complains, "which another AI rates" is a bit of an oversimplification (character limits!): as explained in the diagram, the free text response from the AI acting like a consumer is converted into embeddings & compared to reference statements with Likert ratings
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LLM-Based Customer Intent Prediction Achieves 90% Accuracy
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This paper shows that you can predict actual purchase intent (90% accuracy) by asking an LLM to impersonate a customer with a demographic profile, giving it a product & having it give its impressions, which another AI rates. No fine-tuning or training & beats classic ML methods.
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Translating Digital Behaviors into Business Value and Customer Loyalty
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By translating digital behaviors into meaningful insights, organizations can refine customer journeys, guide strategic decisions, and channel resources with precision, creating experiences that strengthen loyalty while generating measurable business value. Microblog @antgrasso
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GLM-4.5 Air Local Deployment for Sensitive Data Projects
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yeah i know, i am using glm-4.5 air locally for some sensitive data project otherwise that plan is great for its price they're also dropping 4.6 air soon
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Data Exfiltration Framework for Secure Data Platforms
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Data exfiltration is one of the most serious security risks organizations face today. We’ve introduced a comprehensive framework to contextualize data exfiltration for data platforms and mitigate unauthorized data movement. These requirements map to 19 prioritized security
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Valuing Wikipedia Data in LLM Training: Copyright and Markets
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Wikipedia comprises ~1% of LLM training data, but what's its worth? Scholars are attempting to put a price tag on the URLs, books & data used by AI companies. This could aid copyright cases & create more accurate data markets. Follow the discussion here: https://t.co/rbgxicwtD0 pic.twitter.com/GIqRjZTqRM
— Stanford HAI (@StanfordHAI) 9 octobre 2025Wikipedia comprises ~1% of LLM training data, but what's its worth? Scholars are attempting to put a price tag on the URLs, books & data used by AI companies. This could aid copyright cases & create more accurate data markets. Follow the discussion here: https://
hai.stanford.edu/events/hoffman
-yee-symposium-2025
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2025’s AI shift: architecture over scale
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everyone’s chasing bigger models. trillion tokens, billion-dollar data centers, rivers of compute. but the real AI story of 2025 isn’t about scale -> it’s about architecture. while openai burns oceans training gpt-5, samsung just dropped a 7-million-parameter reasoning model
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New Gemini Enterprise capabilities for contextual data and agents
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Today we're rolling out a whole slew of new capabilities for using contextual data relevant to you and your organization and for building and using agent-based systems on top of Gemini and @googlecloud!
— Jeff Dean (@JeffDean) 9 octobre 2025
Learn more at:https://t.co/xLr0HK3PHE
Using Gemini and agents to extract… pic.twitter.com/nMikGSnGFSToday we're rolling out a whole slew of new capabilities for using contextual data relevant to you and your organization and for building and using agent-based systems on top of Gemini and @googlecloud
! Learn more at: https://
cloud.google.com/blog/products/
ai-machine-learning/introducing-gemini-enterprise
… Using Gemini and agents to extract -
Databricks Wins Top G2 Honors for Enterprise AI and Data Science
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The @G2dotcom Fall 2025 Report is here — and Databricks earned top honors with nearly 500 five-star customer reviews! We were recognized for enterprise readiness, support, usability, and trusted relationships across AI, data science, MLOps, AI governance, and more. Huge