Rohan K.

Data is in the air! With back-to-back Snowflake and Databricks conferences in SF, one thing that resonated is that data is paramount for AI. While everyone's talking about data use in AI innovation, securing data in the age of AI couldn't be more critical. This week, our CTO, Priyanka Tembey, dives deep into why runtime protection is essential for securing data in use within modern AI systems. Discover how Operant's AI Gatekeeper simplifies this complex challenge, making robust AI security achievable: https://lnkd.in/gYcbixSB #AIGatekeeper #SecureAI #AgenticAI #SnowflakeSummit #DataAISummit #DatabricksSummit #AIPrivacy #DataInMotion #Runtime #DataCloud #AIReady #DataTransformation #RealTimeAI #Datasecurity

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Unravel's AI agent turns your Databricks environment into a high-performance engine—without new tools or complex setups. ✅ Leverages your existing telemetry ✅ Correlates metadata with AI-driven insights ✅ Automates fixes and cost-saving actions ✅ Works within your current stack Smarter Databricks starts here. Learn how: https://lnkd.in/gkHaP935 #DatabricksOptimization #UnravelAI #DataOps #FinOps #CloudEfficiency #DataPlatform

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Databricks has seven layers to observe: compute, ingestion, storage, transformation, governance, ML, and consumption. Miss one and you own the next incident. We mapped all seven and the ten capabilities your tool needs to cover them. Check out how PRIZM approaches data observability for Databricks. https://lnkd.in/d4vs5mpC #Databricks #Lakehouse #PRIZM #DQLabs

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Don't let your data and AI sit on the sidelines—it's time to put them into the game and leverage the power of agentic AI. 🏈 Looking to adopt and scale trusted AI in your analytics workflows? Our new 12-step guide provides a checklist for data leaders to help you transform your role and ignite value-driven AI use cases. 🔍 A new era of analytics has arrived, and it's time to lead the transformation. Download the guide to get the playbook for a winning data strategy. https://lnkd.in/efV6KuPG

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Snowflake is more than just a data warehouse; it's a game changer for decoupling storage and compute to drive operational efficiency. Whether you're optimizing ELT pipelines or scaling BI reporting, understanding this architecture is essential for modern data stacks. Check out this quick guide on why it remains a top choice for Data Engineering teams. #datascience #career #softwareengineering

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RAG applications break in mysterious ways. Slow retrieval because your vector store is overloaded. Bad answers because retrieval returned irrelevant docs. Silent API failures breaking your pipeline. Without observability, you're debugging blind. LlamaIndex + OpenTelemetry + SigNoz gives you end-to-end visibility. See exactly where time goes: document chunking, embeddings, retrieval, or LLM generation. Track what matters: embedding batch durations, retrieval similarity scores, token usage, user feedback. Get connected traces showing complete request flows instead of scattered logs. Includes a demo RAG chatbot built with our docs to show the instrumentation in action.

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Missed our session with Databricks? Eager for a replay? Want to forward to a friend?💡 Enabling Agentic Interoperability in the Healthcare Data Lakehouse is now available on-demand. See how healthcare organizations are using the Redox MCP Server to establish a direct connection between clinical data and the Databricks Zero-bus ingest connector. This powerful integration helps you build connections and understand patient data in real time, without dev support, and available for use today. The recording is available now, watch on-demand to see it in action: https://bit.ly/4dexNBk Tim Kessler Matthew Giglia #HealthcareAI #Databricks #Redox #HealthIT #DataEngineering

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Databricks partner-built AI accelerators for data engineering and migration help enterprises leverage AI agents to automatically generate, validate, and optimize migration scripts, schema mappings, and ETL pipelines.

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