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Ajeet Singh on AI

From Episode 5: Lessons from Building Thoughtspot and Nutanix with Ajeet Singh · · Vidya Raman

“If you are starting a company right now just thinking there is AI and I must build something around it, you can still build a successful company because it's basically a probabilistic game but people will be better served if they start with the problem they are trying to solve and not worry about what specific technology they're going to use. AI is not just one thing; you should just use all the tools that make sense to solve the problem.”

Ajeet Singh
Cofounder, ThoughtSpot
AIstartup strategytechnology adoption

On , Ajeet Singh, Cofounder at ThoughtSpot, spoke about AI during Episode 5: Lessons from Building Thoughtspot and Nutanix with Ajeet Singh on Vidya Raman.

Episode 5: Lessons from Building Thoughtspot and Nutanix with Ajeet Singh
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Episode 5: Lessons from Building Thoughtspot and Nutanix with Ajeet Singh
Vidya Raman
Watch on YouTube
Ajeet Singh is the founder of not one but two unicorns– Ajeet founded Nutanix in 2009 which went public in 2016 and was the ...
Ajeet Singh

About Ajeet Singh

Cofounder · ThoughtSpot

Ajeet Singh, cofounder of ThoughtSpot, spoke at the NextGen SCM event in Delhi on May 19, 2026, about modern supply chain challenges. He described supply chain as "meeting customer expectations with probably minimum cost and in a lean and mean manner." Singh stated that changing customer expectations, including demands for speed, agility, lower cost, and variety, are driving organizations to build more resilient and responsive networks. He noted that "technology and knowledge barriers are coming down" and that competition is widespread, creating pressure on supply chains. Singh argued that enterprise resource planning (ERP) systems are often "one-size-fits-all solutions that fail to account for industry nuances," leading to siloed information and a lack of responsiveness. He said different industries face unique challenges, citing examples such as the steel industry's liquid metal conversion, discrete manufacturing's assembly of millions of parts, and the fashion industry's need for season planning and markdown optimization. Singh stated that tailored solutions are required rather than generic ones, and that technology can help with demand sensing, supply chain planning, and operations execution to improve responsiveness.

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