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Author: Harsh Vardhan

Harsh Vardhan is a visionary digital transformation leader and pioneering AI evangelist with 20+ years of global experience driving enterprise innovation. As Global Head of Digital Innovation at Apollo Tyres Ltd, he leads AI-first strategies advancing Industry 4.0/5.0 excellence through Generative AI, Agentic AI, IIoT, AR/VR, Digital Twins, and AI TRiSM. He serves on national and global bodies including CII, WEF, IFCCI, and AIM Leaders Council, and is an Industry 4.0 Gold Mentor (T-Hub). Recognized by ET CIO 100, e-GOV 40 CIOs, and FICCI Factory of the Future, he has earned top innovation awards such as Excellence in New Age Tech (2025), Open Innovation Leader (2023), and AI Service Leader (Forrester, 2019) for his award-winning digital platforms and AI-driven initiatives.

Scaling and ROI of Generative AI/ Digital initiatives for Smart Factory

Gen AI is transforming factories into intelligent systems where data drives better decisions and improves both performance and sustainability.

Our Community Content

Scaling and ROI of Generative AI/ Digital initiatives for Smart Factory

Gen AI is transforming factories into intelligent systems where data drives better decisions and improves

Enterprise-Ready Agentic AI: What’s Hype, What’s Real, What’s Risk?

Leaders weigh the promise, limits, and governance of next-gen AI in enterprise settings

AI-Powered Sustainability: How Generative AI Drives Down Energy Costs and Carbon Footprints

Generative AI models, integrating building data with external factors like weather patterns, have an impact

The Evolving Generations of GCCs and the Leaders Behind Them

The leader is no longer a service provider; they are a co-owner of enterprise-level outcomes.

Agentic AI in Financial Services – Enhancing Customer Experience

Major banks are collaborating with technology leaders including OpenAI, Anthropic, Google Cloud, and Microsoft to

The $440 Million AI Lesson: Why 87% of Enterprise AI Projects Fail, And How Global Leaders Beat the Odds

AI governance failures stem from treating AI adoption as technical implementation rather than organizational transformation.

The Future of LLMs and AGI

More high-quality data + More compute + Better algorithms = More capability. But how long

The Role of Large Language Models in Data Privacy

Privacy-by-design is no longer optional; it’s a competitive edge when powered by LLMs.

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