Enterprises adopting generative AI face a critical challenge: building the trusted, scalable data foundation required to operationalize AI at speed. Traditional siloed approaches to data management cannot keep up with today’s demand for automation, trust, and cross-organizational collaboration.
In this roundtable webcast, Quest Field CTO Randy Rouse will outline how organizations can modernize their data management strategy to deliver AI-ready data products faster, with greater accuracy and lower risk.
You’ll learn how the Quest erwin Data Management Platform helps enterprises:
- Transform raw data into governed, business-aligned products for reuse across the organization
- Automate manual, repetitive data modeling and stewardship tasks—reducing time-to-market by up to 80%
- Improve data accuracy, lineage, and transparency with dynamic trust scoring and policy enforcement
- Reduce operational complexity, license costs, and risk by unifying data management into a single platform
- Enable a self-service data marketplace that accelerates insight, collaboration, and AI adoption
Key Outcomes:
- Faster delivery of trusted data products to fuel AI initiatives
- Quantifiable improvements in productivity, agility, and compliance
- Cost efficiency and scalability, lowering TCO by up to 30–50%
Referenten
- Randy Rouse, Field CTO, Quest Software
- Stephen Faig, Research Director, DBTA