Sarit, an MIT Sloan alum and author of The Data Rambler, has become a prominent voice in enterprise AI adoption and governance. His work, spanning writing, lecturing and leadership at Cebrion, is anchored in one belief: data and AI matter only when they change decisions, shaping products with real impact.
Sarit Bose has taken on the role of Founder and Chief Product & Innovation Officer at Cebrion — a deep tech product development firm and incubator building enterprise-grade, AI-first products across risk and financial intelligence.
In the fast-evolving world of artificial intelligence, few voices have managed to cut through the noise with clarity and conviction. Sarit, a published author and widely recognised commentator on enterprise AI adoption, governance and the economics of generative AI, has built a reputation for framing technology not as an end in itself but as a means to reshape decision-making. His monthly blog, The Data Rambler, published on LinkedIn, has become a touchstone for professionals navigating the complexities of AI strategy, offering insights that blend technical understanding with business pragmatism.
An alumnus of MIT Sloan’s programme on AI and business strategy, Sarit brings academic rigour to his work while remaining firmly grounded in the realities of enterprise transformation. His lectures at Praxis Business School have further extended his influence, equipping future leaders with the tools to think critically about AI’s role in shaping organisational outcomes. Yet, what distinguishes his perspective is not simply the breadth of his expertise but the consistency of his philosophy: data and AI create real advantage only when they change a decision.
This belief is more than a guiding principle; it is the foundation upon which Cebrion, the company he helps steer, builds its products. In an industry often dazzled by technical possibility, Sarit insists on a higher bar — that every innovation must clear the test of practical impact. At Cebrion, this translates into solutions designed not for abstract capability but for tangible shifts in how businesses act, compete and grow.
The emphasis on decision-making reflects a deeper understanding of AI’s place in the enterprise. Models, algorithms and platforms may capture headlines, but their true value lies in enabling organisations to make better, faster and more responsible choices. Sarit’s work on AI governance underscores this point, highlighting the need for frameworks that balance innovation with accountability. By situating AI within the broader economics of generative technologies, he also draws attention to the pressures and opportunities that shape adoption across industries.
As AI continues to redefine the contours of business, Sarit’s voice resonates as both a guide and a challenge. His writing and speaking engagements remind enterprises that success is not measured by the sophistication of their tools but by the quality of the decisions those tools empower. In a landscape crowded with hype, his insistence on impact offers a refreshing clarity: at Cebrion, and in his broader work, AI is not about chasing novelty but about enabling meaningful change.
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