Snowflake Openflow & AISQL

Are your data integration pipelines and AI workflows creating more complexity than capability?

Managing scattered data sources, custom ETL processes, and separate AI platforms creates operational nightmares, makes scaling impossible, and turns simple analytics into multi-tool engineering projects. Juggling different systems for data ingestion, processing, and AI analysis slows down insights and makes true data-driven decision making a frustrating challenge.

Join this 60-minute session to see how Snowflake Openflow and AISQL eliminate integration complexity and bring enterprise-grade AI processing directly into your SQL workflows.

You’ll learn how to:

• Unify data ingestion from any source with Openflow’s 400+ processors handling structured and unstructured data from Google Drive, API endpoints, Kafka, SaaS platforms, and databases with zero infrastructure management
• Process multimodal data natively in SQL using AISQL functions for document parsing, sentiment analysis, image embeddings, and transcription without moving data to external AI platforms
• Build scalable AI pipelines that extract insights from text, images, audio, and video using industry-leading LLMs from OpenAI, Anthropic, Meta, and Mistral directly in Snowflake
• Deploy with enterprise security leveraging Snowflake’s built-in governance, encryption, and RBAC across both data integration and AI processing workflows

What you’ll discover:

• How to ingest real-time unstructured data from Google Drive and API requests and immediately make it searchable for RAG applications
• Which AISQL functions solve your specific use cases: AI_EXTRACT for documents, AI_SENTIMENT for feedback analysis, AI_CLASSIFY for content organization
• Best practices for building cost-effective AI workflows that process large volumes of multimodal data without infrastructure overhead
• How Openflow’s Apache NiFi foundation provides enterprise-grade fault tolerance and observability for mission-critical data flows
• Strategies for combining data integration and AI processing to create end-to-end intelligent data pipelines

Transform your fragmented data and AI stack into a unified, scalable platform that delivers real-time insights from any data source using any AI capability.