Data Innovators

How do you build an AI-as-a-Service platform for both internal and external customers, in a regulated industry, at a global scale? That’s what Yogesh Joshi, SVP of Global AI Platforms, and his team at TransUnion have built with OneTru – the platform powering all TU's products with AI, data, and analytics. In this episode, Roy and Yogesh chat about what actually makes or breaks agentic AI in produc...

The Lakehouse made big data accessible. But it did not come with the management layer needed for what comes next. In this episode, DJ Patil – former Chief Data Product & Data Science Linkedin and of the United States, and a GP at GreatPoint Ventures – joins Roy Daniel, definity’s CEO, for a conversation tracing the evolution of modern data infrastructure and the future of agentic data engineer...

AI readiness is a common priority. Ime Akpan, Head of Data Engineering and Chief Data and Analytics Officer at Vanguard Europe, is executing on it at scale. By leveraging Apache Spark, AWS Glue, and a serverless stack, his team laid a data lakehouse foundation that made the business more AI-ready than they realized, without a major platform overhaul. In this episode, we hear more about Vanguard&#3...

Legacy Data warehouses are becoming too heavy to support AI initiatives, Rohit Sivaprasad, Head of Data Science and Engineering at Adobe Stock, explains how his team is systematically decluttering years of accumulated technical debt while building the semantic foundation that AI agents will need to access organizational data. The conversation covers the specific challenges and use cases of Adobe S...

Real estate data is a classic example of “wide data” at scale. In this episode, Paras Doshi , Sr Director of Data & Insights at Opendoor , explains how his team rebuilt their data platform to support pricing homes using 500+ features per transaction across MLS data, third-party sources, and millions of proprietary photos. The conversation dives into Opendoor’s four intelligence layers for home...

Alla Piltser, Bank of America's former Managing Director of Tech Infra, shares insights from her 35 year career in financial services technology and the critical shifts happening today in big banks’ data platforms. Alla and Roy dive into how financial institutions are navigating data platform priorities for 2026. They discuss proven techniques for avoiding costly migration failures, the foundation...

Renu Tewari, former LinkedIn data platform leader, shares about her experience scaling the platform from 1 trillion to 35 trillion messages per day, and how Agentic AI is now reshaping the future of data engineering – and every infrastructure assumption we have. Renu and Roy explore how hyperscaling teams address increasing platform bottlenecks, constant failures, and ongoing need for deep root-ca...

Disney’s Head of Data Platform Product shares how his team built platform-level guardrails, cost attribution, and lineage systems to scale data democratization without losing control. This episode explores enterprise data platforms, AI use cases, and governance strategies that keep efficiency high and costs in check. Romit Mehta and Roy Daniel dive into Disney’s enterprise data platform team’s app...