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Modern Data Platforms for Operationalizing Generative AI at Scale

Modern Data Platforms for Operationalizing Generative AI at Scale
On Demand
  • Recorded Date:Sept. 30, 2025
  • Event:On Demand
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%

Speakers

  • Randy Rouse, Field CTO, Quest Software
  • Stephen Faig, Research Director, DBTA

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