Jessie Felix

Media and entertainment, marketing and social teams need deeper insight into how audiences engage with video. Snowflake Cortex AI Video Processing enables hook-strength prediction, live-event retention analysis and ad-break optimization, helping organizations reduce drop-off, improve message impact and make smarter content decisions directly in the Snowflake AI Data Cloud.

Unlock insights trapped in unstructured data using Cortex AI Functions. In this hands-on lab, you'll build batch extraction pipelines that process documents, images and audio — all with SQL. Load files to Snowflake stages, then use AI_PARSE_DOCUMENT to extract text from PDFs, AI_EXTRACT to pull structured fields from text and images, AI_CLASSIFY to categorize content, and AI_TRANSCRIBE to convert audio to text. Build automated pipelines with Dynamic Tables that process new data as it arrives. By the end, you'll transform unstructured files into queryable tables — extracting entities, classifying documents, and structuring data for analytics or downstream AI.

Building AI applications in the age of agents demands a platform that turns vast enterprise data into real business outcomes. Snowflake Cortex AI Functions deliver the core primitives — classify, extract, summarize and analyze — to build powerful AI pipelines directly in Snowflake. AI Function Studio accelerates time to value with managed quality optimizations, multimodal support and built-in cost controls. Add agentic search, and intelligent systems can now orchestrate analytical workflows across thousands of documents that traditional RAG can't handle. One platform. Enterprise-grade AI, end to end.

In this session, discover how organizations are extracting actionable insights from text, documents, images and audio — all in Snowflake Cortex AI. This session reveals practical techniques for building integrated multimodal analytics pipelines using Cortex AI SQL functions and Document AI. Learn how to orchestrate complex, multi-step data analysis across previously siloed data types — simply, with SQL.

In this chalk talk, learn about cost-optimization techniques for your data on Amazon S3. Review Amazon S3 features and storage classes that you can use to optimize your Amazon S3 storage costs.

Amazon S3 Glacier Instant Retrieval is a new archive storage class that delivers the lowest cost storage for long-lived data that is rarely accessed and requires millisecond retrieval, such as medical images or news media assets. You can now choose from three Amazon S3 Glacier storage classes, which are purpose-built for data archiving and providing you with the highest performance, most...

If you are looking for ways to store your data more cost effectively, then this is the session for you. Effective storage cost optimization can require different approaches depending on performance needs and access frequency.