AI Lab (NYC): Building Agentic AI workflows with Teradata and AWS
Details
Important: register on the event website is REQUIRED for admission (RSVP on meetup is turn off)
Description:
Join Teradata and AWS for an immersive, hands on workshop learning how to build and deploy agentic AI workflows for an end-to-end customer feedback solution powered by agentic AI and MCP.
Financial Services organizations face a significant challenge in enhancing customer experience. Financial products are highly complex and subject to intense regulation, making the resolution process manual and resource-intensive, with human support agents working around the clock. Agentic AI has the potential to exponentially scale human efforts, reducing time and resource expenditure.
Through this interactive, instructors-led workshop, we'll be working together to build and deploy intelligent agents that improve customer complaint resolution by leveraging Teradata’s Enterprise MCP Server and Vector Store with AWS Bedrock AgentCore.
What you will learn:
- • Key Agentic AI components of Teradata: Enterprise MCP Server and Vector Store
- • AWS Bedrock AgentCore to build Agentic workflows
- • The upcoming AI products and frameworks
- • Build an effective Agentic workflow from start to finish in the hands-on labs
Who Should Attend:
This hands-on workshop is designed for Developer, Data Scientist, System Architect, IT Manager, and Technical Decision Maker.
Agenda:
- 12:00pm~1:00pm: Welcome Reception (Lunch Provided)
- 1:00pm~1:30pm: TD Intro & Workshop Kickoff
- 1:30pm~2:00pm: Tech talk: AWS Partnership, Better Together & Technology
- 2:00pm~2:15pm: break
- 2:15pm~3:45pm: Hands-on code labs
- 3:45pm~4:00pm: Close - Workshop Summary and Call to Action
- 4:00pm~5:30pm: Happy Hour and networking
AI summary
By Meetup
Hands-on workshop for developers, data scientists, and IT leaders to build agentic AI workflows for customer feedback. Outcome: a working end-to-end workflow.
AI summary
By Meetup
Hands-on workshop for developers, data scientists, and IT leaders to build agentic AI workflows for customer feedback. Outcome: a working end-to-end workflow.
