Sanjeev Mohan
Principal, SanjMo & Former Gartner Research VP, Big Data and Advanced Analytics

Traditional data architectures pose a challenge for AI workloads. They have led to data silos, data quality issues, and scalability problems. It takes too long to derive intelligence from our current setup and the unreliable pipelines are too brittle to be trusted.

We will look at a hybrid architecture that unifies storage, governance and management layers, disaggregates compute, and creates decentralized data products. Data products and generative AI are transforming data and analytics like never before. Please join to learn about various analytical styles to amplify intelligence, reimagine architecture, and explore the state of large language models to address AI use cases.