Francois Lopitaux

The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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We've launched the dbt_semantic_view package, seamlessly integrating the Snowflake semantic view with dbt's disciplined workflow. This means you can now: - Centralize Metrics: Define key metric logic (FACTS, DIMENSIONS, METRICS) natively in Snowflake's semantic view for a single source of truth. - Enable CI/CD: Apply dbt's strengths (declarative YAML, testing, and version control) directly to your semantic layer definitions. - Ensure Governance: Automatically manage privileges and validate relationships to ensure every consumer, from BI tools to AI agents, uses trusted data. - Unify your governance framework and ensure consistent, high-performance metrics across your enterprise. Learn more and get started: https://lnkd.in/eZqiwT-g

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Scalestack uses AI to automate company research for sales teams at leading tech companies like Databricks and Ramp, helping them spend more time closing deals instead of digging for data. With Redis Streams as the nervous system of their AI-powered GTM orchestration engine, Scalestack gained enterprise-scale performance, faster sales intelligence, operational excellence, and simpler sales tech. Swipe for a full breakdown. Read more: https://lnkd.in/gr4tyTHS

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Quartr API datasets are now available via Snowflake. Access structured earnings data – live audio, real-time and historical transcripts, filings, slide decks, and event summaries. Pull Quartr data directly into your existing Snowflake workflows and augment your datasets. No new pipelines, no separate API integration. Build with data that drives decisions.

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Understanding Snowflake's architectural decisions isn't just technical curiosity, it's the foundation for optimizing performance, controlling costs, and building scalable data solutions. https://lnkd.in/g5hJmTsE

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What happens when you pair LangGraph’s flexibility with Snowflake’s secure, scalable compute? You get a seamless path to production-grade LLM applications. Fabian Hernandez, part of our Infostrux team, walks you through how LangGraph agents can now be executed entirely inside Snowflake using its new LLM function framework. It’s an exciting step forward for anyone building: -LLM agents -Retrieval-augmented generation pipelines -Conversational workflows directly tied to enterprise data This article is a must-read for teams operationalizing AI where it matters most—in the cloud, with governance built in. Explore it here: 👉 https://hubs.ly/Q03ykwlj0 #Snowflake #LLMFunctions #LangGraph #AIWorkflows #GenAI #EnterpriseAI #Infostrux

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