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
- Data Quality
- Generative AI
- Data Integration
- Metadata Management
- Data Architectures (inc. Data Fabric, Data Lakes, Data Warehouse)
- 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.
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Sessions
Tuesday, 20 May, 2025 04:15 PM - 04:45 PM JST
Technical Insights: How to Supplement Large Language Models With Your Internal Data
Jason Medd,
Sr Director Analyst, Gartner
This session is crucial for organizations aiming to maximize the utility of large language models by integrating internal data. Gain actionable insights and practical solutions to improve model performance and business outcomes. Ideal for technology leaders, data scientists and business strategists looking to harness the full power of LLMs.
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Wednesday, 21 May, 2025 02:00 PM - 02:30 PM JST
What Data and Analytics Leaders Should Know Before Implementing a Data Catalog
Jason Medd,
Sr Director Analyst, Gartner
Data catalogs suffer from a high failure rate that is often blamed on poor technology choices but are more often the result of nontechnical issues. This session will provide insight to data and analytics leaders in evaluating metadata management requirements, assessing readiness of organizations and best practices for getting started to implement a data catalog.
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Thursday, 22 May, 2025 01:30 PM - 02:00 PM JST
Future of Data Management Using GenAI
Jason Medd,
Sr Director Analyst, Gartner
Productivity and operational efficiency are one of the key measures of business performance and economics. GenAI has promising capabilities of improving productivity and operational efficiency of data management function, and data governance. Organizations should explore and assess those capabilities to align it with strategic goals to improve the productivity and operational efficiency.
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