Data Integration for AI: Overcoming Modern Pipeline Challenges
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, July 23, 2025
Time: 9:00 a.m. PT / 12:00 p.m. ET
As organizations continue to build out their data foundations for AI, they often encounter the complex challenge of integrating data from multiple sources, both structured and unstructured. Yet the growing popularity of new AI applications, such as agentic AI systems, requires access to diverse data types, especially unstructured data. TDWI research indicates that modernizing data pipelines is among the top priorities for organizations trying to obtain the full value from their data assets. Yet, organizations struggle with many pipeline challenges including rigid and fragile legacy pipelines that are fragmented and complex to navigate.
Join Fern Halper, Ph.D., vice president of research at TDWI and Shiyi Gu, product marketing lead at Snowflake, as they discuss how to enhance and simplify data pipelines for all kinds of data to support new initiatives. Topics include:
- Strategies for unifying structured and unstructured data to support AI applications
- Pipeline requirements for new data types including unstructured data
- New pipeline tools to support data integration
- Best practices for modernizing data infrastructure to facilitate seamless AI integration
Guest Speaker
Shiyi Gu
Senior Product Marketing Manager
Snowflake
Shiyi leads Snowflake’s Data Engineering Go-to-Market efforts, driven by her deep passion for data’s ability to foster connections and drive cultural change. Prior to Snowflake, she accrued extensive experience in data management across roles at Talend, DataStax, and SAP.
Date: July 23, 2025
Time: 9:00 am PT
Fern Halper, Ph.D.