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GenAI is currently evolving faster than most organizations can adapt. From AI copilots and chatbots to custom LLMs and autonomous agents, the use cases are exploding. At the same time, most data platforms were not built for GenAI — they were built to power dashboards and batch analytics.
The table stakes have shifted dramatically. Operationalizing GenAI at scale requires the ability to manage large volumes of unstructured data, low-latency inference, real-time context delivery, retrieval- augmented generation (RAG), and prompt orchestration — just to name a few. If your infrastructure cannot support these types of workloads reliably and at scale, your GenAI investments will stall.
Join this September 30th webinar to learn the following:
- Key requirements for modern data platforms
- Best practices for integrating vector databases, feature stores, and retrieval systems
- How enterprises can deliver trusted AI products at speed and scale
- Security, governance, and compliance for GenAI in the enterprise
Reserve your seat today!
Register Now to attend the webinar Modern Data Platforms for Operationalizing Generative AI at Scale. Don't miss this live event on Tuesday, September 30, 11 AM PT / 2 PM ET.
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MODERATOR |
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David Millman
Lead Partner Sales Engineer,
System Integrators and GSIs
Fivetran |
Randy Rouse
Field CTO
Quest Software |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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