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Author: Rajan Gupta

Dr. Rajan Gupta is an AI Professional with 15+ years of combined experience in AI/ML Product & Services Delivery, Analytical Research, Consulting, and Training, in various industries and domains like EdTech, HealthTech, Telecom, Retail, Manufacturing, and the likes. He is currently working as the Director of Data Science & AI/ML at Digital Labs of Deutsche Telekom, Europe's leading digital teleco which is a Fortune 500 company & 11th most valuable global brand. He is part of the AI Leadership, conceptualising and implementing different GenAI and LLM initiatives for solving data problems impacting business growth and optimisation. He holds a doctorate and post-doctorate in data science & AI/ML, and has authored more than 125 publications including 7 books and multiple research papers in Technology and Management. He is recipient of multiple awards and industry recognitions, and is amongst the first of few Certified Analytics Professionals from India to be part of INFORMS ecosystem in United States.

Sovereign AI: Why the Next Decade Belongs to Nations That Build Their Own

If you deploy AI you don’t control, you also inherit risks you can’t see.

A Five-Point Playbook for Enterprise AI Leaders

AI delivers what you ask for, not always what the business needs.

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 Need for Machine Unlearning in Enterprise AI Applications

Machine unlearning enables AI systems to selectively ‘forget’ specific data, ensuring compliance with privacy regulations while enhancing efficiency in enterprise applications.

Our Community Content

Model-First Product Strategy: How AI Product Management Must Evolve

Designing systems that adapt, improve, and get smarter with every interaction.

Sovereign AI: Why the Next Decade Belongs to Nations That Build Their Own

If you deploy AI you don’t control, you also inherit risks you can’t see.

The AI Marketplace Playbook

The safest way to scale AI is centralization.

From Content Generation to Work Delegation: Navigating the Agentic AI Era

Agentic AI forces organizations to answer a new question: who is responsible when software makes

A Five-Point Playbook for Enterprise AI Leaders

AI delivers what you ask for, not always what the business needs.

Building Robust AI & Data Infrastructure

How do you move fast without breaking systems that need to last?

The Reason AI Adoption Stalls in Freight

A system that works only when everything is perfectly structured will struggle to earn a

The GBS Blueprint for Scalable AI: From Pilot to Production

GBS leaders who take ownership of AI to scale will shape the competitive advantage of

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