The people driving Prism's mission to simplify data complexity and deliver real, measurable outcomes for the modern enterprise.
Dinesh leads Prism Analytics with a relentless focus on cloud native data management, total cost of ownership (TCO), and the real world deployment of AI agents. He believes that modern enterprises must stop treating the cloud as a simple migration target and start architecting for efficiency and intelligence.
Under his leadership, Prism helps clients rightsize compute waste, architect robust enterprise data foundations, operationalize data management for AI ventures, and transform data infrastructure from a cost center into a strategic accelerator.
Sriram guides Prism's AI strategy with a pragmatic, iterative approach. He champions automated evaluations (evals) over slow, manual reviews, enabling AI systems that improve continuously from day one.
His philosophy — start small (even with five examples), measure what matters, and scale responsibly — ensures that every AI deployment at Prism is both innovative and governable.
At Prism Analytics, it's about simplifying complexity, challenging waste, and building for what's next. Whether it's reducing cloud spend, deploying AI agents, or iterating toward better models, our team leads with curiosity, pragmatism, and a relentless focus on your ROI.