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AI is Not What You Think: Insights From a Global Tech Leader
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Pattern recognition masquerading as intelligence - that's how Zensar Technologies CEO Manish Tandon provocatively reframes today's AI landscape. With refreshing pragmatism, he cuts through the hype to reveal why most enterprise AI initiatives struggle to gain traction.
The fundamental problem? We're approaching AI deployment all wrong. "It's not the AI engine that needs to be made a hero," Manish explains, "it's the people who are using that engine who have to be made heroes." This simple yet profound insight explains why many employees resist adoption - they perceive AI as a threat rather than an amplifier of their capabilities. When organizations reposition AI as a tool that helps workers deliver better results faster, adoption naturally accelerates.
Through real-world examples like Zensar's "AI Engineering Buddy" and specialized healthcare applications, Manish demonstrates how successful implementation depends on creating "pull" rather than "push" adoption. Starting small with dedicated teams tackling specific problems, showcasing early wins, and focusing on significant efficiency gains builds momentum organically. The most revelatory insight? AI currently sits in enterprises' "cost reduction bucket" rather than "revenue generation bucket" - and until that changes, we won't see explosive growth in adoption similar to what e-commerce sparked in the digital revolution.
Ready to transform your approach to AI implementation? Start by rethinking how you position these tools to your team. Focus on empowering your people, not replacing them, and create opportunities for small, visible wins that demonstrate real value. How might repositioning AI as a capability amplifier rather than a replacement change adoption rates in your organization?
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Chapters
1. AI is Not What You Think: Insights From a Global Tech Leader (00:00:00)
2. [Ad] Digital Disruption with Geoff Nielson (00:16:40)
3. (Cont.) AI is Not What You Think: Insights From a Global Tech Leader (00:17:17)
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