Modern Data Platforms for Operationalizing Generative AI at Scale

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%