In this episode, Bidish Sarkar, Corporate Vice President and Head of Data, Integration & AI Practice at Persistent Systems, joins Drew Horn, Director of ISV Partnerships at Confluent, for a deep dive into how real-time data streaming is redefining the way enterprises operationalize AI.
The conversation explores how governed, real-time data pipelines are becoming the foundation for Agentic AI — systems that not only process information but act intelligently and autonomously across the enterprise. Drew and Bidish discuss the growing convergence between Confluent, Databricks, and Persistent — and how this collaboration is enabling organizations to bring agility, observability, and trust to AI-driven decision-making.
From detecting financial fraud in milliseconds to saving lives through real-time healthcare monitoring, the discussion highlights powerful, real-world use cases that demonstrate how streaming data and Agentic AI can transform industries. The speakers also unpack the critical role of governance — including lineage tracking, metadata management, and access control — in ensuring that AI systems remain accurate, explainable, and responsible at scale.
The episode also features Persistent’s accelerators Magnify and iAURA, which integrate directly with Confluent’s Kafka pipelines and Databricks’ AI platform to deliver real-time observability, data governance, and continuous intelligence. Together, these innovations are helping enterprises move from insights to autonomy — building a new kind of intelligent, data-driven enterprise that’s intelligent by design.
Tune in to learn how real-time data streaming and Agentic AI are shaping the future of enterprise intelligence — and why collaboration across platforms and partners is key to realizing this vision.
Join the conversation! Contact us at podcasts@persistent.com.
Speakers:
Bidish Sarkar, Corporate Vice President & Head of Data, Integration & AI, Persistent Systems
Drew Horn, Director of ISV Partnerships, Confluent
