Snowflake Cortex Search Named Scoring Profiles: Semantic search understands meaning. But in enterprise search, meaning alone is rarely enough. Ask an internal search tool: Can I work from home three days and claim internet allowance? A vanilla semantic search will happily return the current flexible work policy, an old COVID […]
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Conversational AI Agent: Snowflake Cortex AI is not limited to running individual LLM functions in isolation. The real value comes when we combine multiple Cortex capabilities into one complete workflow. In this blog, I will demonstrate an end-to-end document intelligence use case where a PDF claim document is uploaded into […]
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Persona-Driven Partial Decryption in Snowflake: An insurance carrier maintains a single CUSTOMER_360 table holding policyholder PII — NAME, EMAIL, PHONE, SSN, DOB. The same table is read every day by very different people across the business, and each one legitimately needs a different slice of it: Most masking conversations stop […]
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Smart Insurance Claim Photo Triage System: Imagine an insurance adjuster’s morning. There are 200 new auto claims in the queue. Each one comes with 5–10 damage photos. Before any real work can begin, someone has to: Look at every photo and decide if it’s even a usable claim image Identify […]
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Most AI document demos stop at “Can AI summarize this PDF?” Useful — but nowhere near enough for enterprise teams.Legal doesn’t just need a summary. Procurement doesn’t just need a chatbot answer. Compliance doesn’t just need confirmation a document was read. They need structured, traceable, actionable intelligence: Which contracts have […]
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Custom Python Packages in Snowflake Notebooks Using .whl Files: Snowflake Notebooks are becoming a powerful environment for combining data engineering, analytics, and AI workflows directly within the Snowflake ecosystem. However, one common limitation practitioners encounter is: “What if the required Python package is not available by default?” Unlike traditional Jupyter […]
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