Enterprise AI attention turns to data architecture – Getting Generative AI apps up and running is the first problem that enterprise teams encounter. Then comes maintaining those systems. As Sanjay Mohan points out in a recent blog post, this makes for a moving target, as data flowing into the AI engines must be continually monitored. Constant changes are inherent in active computer data. Read more.
Speaking of Agentic AI Data Architecture – Connecting-to and building-out Generative AI is going to mean some changes in the way data architects approach solutions. Mohan Varthakavi’s recent Diversity.net “Reimagining Data Architecture for Agentic AI” post addresses the data challenge from an overarching perspective, and it is an interesting take. Read more.
Data to the fore as Snowflake and Nvidia report – Development of specialized AI agents will be key indicator for future of generative AI, analyst Mandeep Singh tells Bloomberg podcast audience. Surprisingly perhaps, this puts Snowflake in a more competitive position as AI rules the airwaves. Read more.