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Have you ever wondered how businesses are transitioning from isolated AI experiments to integrated strategies that truly drive transformation? In this episode, we're joined by Dr. Pandurang Kamat, Chief Technology Officer at Persistent Systems, to explore this fascinating evolution.
With over 12 years at Persistent and a PhD in Computer Science from Rutgers University, Dr. Kamat brings a wealth of knowledge about innovation, R&D, and the future of AI in the enterprise.
Dr. Kamat explains how the AI revolution is reshaping both the technical and business aspects of organizations. From automating workflows to modernizing data and digital engineering, he dives into how AI platforms are becoming indispensable tools. He also highlights Persistent's unique approach with its flagship platforms SASVA for digital engineering, iAURA for data engineering, and the GenAI Hub for orchestrating AI across enterprises.
These platforms are enabling businesses to adopt AI faster and more effectively, paving the way for what he calls "services as software."
We also discuss the role of partnerships with hyperscalers like AWS and Google in scaling AI initiatives securely and responsibly. Dr. Kamat shares insights into Persistent's industry-specific applications of AI, from enhancing customer service to revolutionizing construction risk management and accelerating drug research.
What challenges do businesses face when transitioning to platform-driven strategies? Dr. Kamat unpacks the critical steps, including shaping data readiness, identifying impactful use cases, and implementing responsible AI frameworks. Looking ahead, he envisions a future where AI delivers disproportionate outcomes through purpose-built agents and multi-year transformation projects.
Join us as we navigate the next wave of enterprise AI with Dr. Pandurang Kamat and uncover how Persistent Systems is pushing the boundaries of innovation. What excites you most about the potential of AI to transform industries? Share your thoughts after the episode—we'd love to hear from you!
By Neil C. Hughes5
198198 ratings
Have you ever wondered how businesses are transitioning from isolated AI experiments to integrated strategies that truly drive transformation? In this episode, we're joined by Dr. Pandurang Kamat, Chief Technology Officer at Persistent Systems, to explore this fascinating evolution.
With over 12 years at Persistent and a PhD in Computer Science from Rutgers University, Dr. Kamat brings a wealth of knowledge about innovation, R&D, and the future of AI in the enterprise.
Dr. Kamat explains how the AI revolution is reshaping both the technical and business aspects of organizations. From automating workflows to modernizing data and digital engineering, he dives into how AI platforms are becoming indispensable tools. He also highlights Persistent's unique approach with its flagship platforms SASVA for digital engineering, iAURA for data engineering, and the GenAI Hub for orchestrating AI across enterprises.
These platforms are enabling businesses to adopt AI faster and more effectively, paving the way for what he calls "services as software."
We also discuss the role of partnerships with hyperscalers like AWS and Google in scaling AI initiatives securely and responsibly. Dr. Kamat shares insights into Persistent's industry-specific applications of AI, from enhancing customer service to revolutionizing construction risk management and accelerating drug research.
What challenges do businesses face when transitioning to platform-driven strategies? Dr. Kamat unpacks the critical steps, including shaping data readiness, identifying impactful use cases, and implementing responsible AI frameworks. Looking ahead, he envisions a future where AI delivers disproportionate outcomes through purpose-built agents and multi-year transformation projects.
Join us as we navigate the next wave of enterprise AI with Dr. Pandurang Kamat and uncover how Persistent Systems is pushing the boundaries of innovation. What excites you most about the potential of AI to transform industries? Share your thoughts after the episode—we'd love to hear from you!

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