Sessions in THH 201
In the wake of the chatGPT, the world is joining hands to experience this recent AI innovation. At this time, everyone from data science teams to company executives is trying to release AI/LLM-driven features. This talk is a way to “open source” some of the learnings and real-world examples in this area and share the knowledge with industry professionals looking to experience AI in their respective roles.
Present how Snowflake accelerates AI/ML innovation through: 1. Central and governed access to data. 2. Reliably process features, ML models and applications using elastic compute engine. 3. Bring Generative AI/LLM capabilities within Snowflake's secure and governed boundary.
As enterprises become more agile, centralization appears more and more as a thing of the past world, a waterfall world.As businesses become more complex, a major challenge became about marrying big data, self-service discovery, experimentation, compliance, and governance, while providing a clear path from data experimentation to production.Data Mesh is bringing to data engineering many of the concepts of agile software engineering to solve the above challenges.
Leveraging Natural Language Processing to Automate and Optimize IT Operations
Estimating probabilities of rare events like purchases from click ads or contracting rare diseases is difficult because of class imbalance. In this talk, I will show how ordinal regression can make these estimation problems easier. I will explain the methods step-by-step, show you real data examples, and share code implementing the methods.