On Demand
Intelligent Data Engineering: Beyond the AI Hype
There’s a lot of hype around GenAI, but what’s the real impact on data engineering?
In this webinar we go beyond the AI hype to examine how real-world AI is helping data engineers meet the moment and build stronger, more reliable data pipelines faster.
Hear a variety of speakers, including Databricks Distinguished Engineer Michael Armbrust, explain how data intelligence revolutionizes data engineering by:
- Leveraging conversational AI to empower every data practitioner to author better code, and diagnose and fix issues faster
- Unifying ingestion, transformation and orchestration in a single streamlined solution
- Simplifying the building and operation of production ingestion pipelines with native, scalable connectors to a variety of data sources
Speakers
Michael Armbrust
Distinguished Engineer
Databricks
Rik Tamm-Daniels
GVP Ecosystem Alliances and Technology
Informatica
Raju Mudunuri
Senior Manager
Lexmark
Raghuvarran V H
Principal Engineer
Mahindra & Mahindra
Manish Dalwadi
Director, Product Management
Databricks
Weston Hutchins
Senior Manager, Product Management
Databricks
Frank Munz
Principal Technical Product Marketing Engineer
Databricks
Elise Georis
Staff Product Manager
Databricks
Agenda
Intelligent, Unified Data Engineering With Databricks LakeFlow
Michael Armbrust
Distinguished Engineer
Engineering With Data Intelligence
Weston Hutchins
Senior Manager, Product Management
Native Ingestion With LakeFlow Connect
Elise Georis
Staff Product Manager
Supercharge Databricks With Informatica AI-Powered Data Management
Rik Tamm-Daniels
GVP Ecosystem Alliances and Technology
Transform and Orchestrate With Intelligent Data Pipelines
Manish Dalwadi
Director, Product Management
Hands-on Demo of Orchestration, Data Pipelines and AI for Data Engineers
Frank Munz
Principal Technical Product Marketing Engineer
Optimizing With Databricks Assistant at Lexmark
Raju Mudunuri
Senior Manager
Customer Story: Mahindra & Mahindra (APJ only)
Raghuvarran V H
Principal Engineer