As organizations prepare to integrate generative AI into their data ecosystems, many face a fundamental challenge: incomplete or inconsistent metadata. To enable intelligent data discovery and interaction through large language model (LLM) technologies, our team implemented an automated approach to metadata remediation.

By applying AI models to analyze representative data samples, infer classifications, and propose business definitions, we developed an AI-assisted process that accelerates curation, improves accuracy, and establishes a sustainable foundation for metadata quality.

Session Highlights:

• How AI can automate metadata remediation and enrichment at scale

• The connection between metadata quality and AI success

• Practical lessons from using LLMs to generate and validate metadata

• A governance-driven approach to ensure trust, accountability, and sustainability

• How to evolve from manual stewardship to AI-augmented metadata management

This real-world case study bridges governance and innovation — showing how to make metadata truly “AI-ready.”

Speaker: Donny Bronson, Sr. Manager, Data Governance, Thermo Fisher Scientific

With a profound passion for data integrity and a comprehensive understanding of the strategic importance of effective data management, Donny Bronson is a seasoned Data Governance Professional with extensive experience in the field. Employed at Thermo Fisher Scientific since 2000, Donny brings a wealth of diverse experience spanning various domains, including Manufacturing, Research and Development, Operations Integrations, ERP Implementation, and Product Data/Lifecycle Management. Currently in IT, Donny’s focus is on Data Governance Enablement, leveraging his extensive background to drive data excellence across the organization.

Speaker: Julie Giese, Director, Data Governance, Thermo Fisher Scientific

Julie Giese leads the Data Catalog and Data Quality team within the Data Governance Enablement team at Thermo Fisher Scientific, headquartered in Waltham, Massachusetts, with more than 100,000 employees operating in over 150 countries. The Data Governance Enablement team is a center of excellence that provides tools and methodologies that enable the business to drive improvements to their data and processes so that they can protect and trust their data, improve their productivity, and make better decisions to deliver on the expectations of both internal and external customers.

During Julie’s over 15 years at Thermo Fisher, she has held various roles in Finance, IT, and now Data Governance, from implementing and managing global applications with large complex data sets to her current role managing an enterprise-wide data catalog and democratizing data quality.

Speaker: Shannon Gill, Manager, Data Governance, Thermo Fisher Scientific

Manager of Data Governance at Thermo Fisher Scientific with 14 years of experience in analytics and enterprise reporting. Holds a Master’s degree in Data Analytics with a practitioner’s background in hands-on SQL- and R-based reporting and business-focused data translation.