Sineesh Keshav i the Chief Technology Officer at Prologis. A proven leader with over two decades of experience in information technology, he has led the company’s digital transformation since joining in 2018 and has been a catalyst for its remarkable growth.
Under Sineesh’s leadership, Prologis has expanded its managed real estate portfolio from 750 million to 1.2 billion square feet and grown its workforce from 1,600 to 2,500 employees. Throughout this rapid expansion, the company has preserved and strengthened its culture of innovation.
Sineesh drives the design and delivery of innovative, cost-effective technology solutions that support and accelerate business growth. He leads globally distributed, cross-functional teams of hundreds and blends deep hands-on technical expertise with sharp business acumen. His approach consistently produces high-performance, business-enabling solutions that align technology execution with strategic priorities.
On the 53rd episode of Enterprise AI Innovators, Sineesh Keshav, Chief Technology Officer at Prologis, joins the show to share insights on how Prologis drove 95% company-wide adoption of generative AI through personal productivity use cases. He also discusses the future of SaaS as enterprises begin to take greater ownership of their data and AI models, and how AI is enabling a shift from static infrastructure to dynamic, self-optimizing supply chains.
On the 53rd episode of Enterprise AI Innovators, Sineesh Keshav, Chief Technology Officer at Prologis, joins the show to share insights on how Prologis drove 95% company-wide adoption of generative AI through personal productivity use cases. He also discusses the future of SaaS as enterprises begin to take greater ownership of their data and AI models, and how AI is enabling a shift from static infrastructure to dynamic, self-optimizing supply chains.
Read about Sineesh's perspective on how Prologis made generative AI indispensable across the company, achieving 95% adoption through simple, high-impact use cases. He reflects on the shifting SaaS landscape as businesses seek deeper control of their data and AI models, and envisions a future where supply chains are intelligent, responsive, and fully self-optimizing.
