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Context and Trust in Any UI: Augmenting Your Data and AI with Informatica MCP
This webinar is intended for data scientists, data engineers and developers, solution architects, data stewards, governance teams and business users who use AI assistants to work with data at an Intermediate expertise level.
The session discusses why AI tools give plausible but poorly grounded answers when they can see the data but not the context around it: end-to-end lineage, data quality, data classification and privacy, and the business meaning of each asset (business assets overlaid on technical assets). We will show how Informatica MCP delivers this context into the tools your teams already use: developers in Snowflake Cortex Code, data scientists in Databricks Genie, and business users in Claude Desktop, where they can talk to their data in a native UI without opening a catalog.
By the end of the webinar you will understand how Informatica MCP grounds AI responses with governed context, how it serves developers, data scientists and business users, and how to get started in the AI tool of your choice with more confidence in the answers.
Here is the agenda for this session:
- Introduction: The problem of data without context
- Bringing context to where users work: Informatica MCP overview
- Demo 1: Developer in Snowflake Cortex Code
- Demo 2: Data scientist in Databricks Genie
- Demo 3: Business user in Claude Desktop
- Before and after: The impact of grounded answers
- Q&A
Speakers:
- Avanish Srivastava, Senior Manager, Success Architecture
- Puneet Dudeja, Success Architect
- Jeevan Yemineni, Senior Success Architect