Experience the difference. Meet your peers, talk with experts, build your network, and turn insights into action.
Jason Medd
Sr Director Analyst
Gartner
Speaker Topics
- Agentic Analytics and AI
- Metadata Management
- Data Quality and Governance
- Ready Your Data for AI
Speaker Bio
Jason Medd is a Sr Director Analyst with Gartner's Data Management team. Mr. Medd's research focuses on data quality, data governance and data catalog. In addition, Mr. Medd provides actionable advice to clients on how to use these technologies together to realize value from your data management architectures.
Show More
Show Less
Sessions
Tuesday, 19 May, 2026 04:15 PM - 04:45 PM JST
Unstructured Data Management Is the Missing Ingredient to Prepare GenAI-Ready Data
Jason Medd,
Sr Director Analyst, Gartner
Almost every GenAI use case requires organizations to extract, qualify and govern significant volumes of unstructured data. Data management leaders must deliver workflows that orchestrate entity extraction, vector data embeddings and semantic data enrichment with structured data pipelines to deliver GenAI-ready data. Join this session to learn more.
...
Show More
Show Less
Wednesday, 20 May, 2026 04:15 PM - 04:45 PM JST
Best Practices for Implementing and Maintaining a Data Catalog
Jason Medd,
Sr Director Analyst, Gartner
This session covers practical steps, common mistakes to avoid, and key factors for launching data and maintaining a data catalog. Discover how to assess your organization’s metadata requirements, define clear goals, and apply best practices for a smooth implementation and ongoing success.
...
Show More
Show Less
Thursday, 21 May, 2026 09:30 AM - 10:00 AM JST
Build a Solid Foundation for Data and AI Success With Critical Data Management Technologies
Jason Medd,
Sr Director Analyst, Gartner
Data management tools provide significant capabilities to ensure good data for your data and AI initiatives. For example, metadata tools help discover and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for data and AI initiatives.
...
Show More
Show Less