Modern Data Platforms for Operationalizing Generative AI at Scale
Speakers

Sponsored by
Webinar details
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. This expert roundtable with DBTA explores key requirements for modern data platforms, and best practices for how enterprises can deliver trusted AI products at speed and scale.
Modern Data Platforms for Operationalizing Generative AI at Scale
Speakers

Presented by
Webinar details
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. This expert roundtable with DBTA explores key requirements for modern data platforms, and best practices for how enterprises can deliver trusted AI products at speed and scale.