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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.

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

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.

Behind the Shelves: How AI Powers the Modern Retail Supply Chain

AI-powered logistics are making supply chains faster, smarter, and more resilient.

Why Every Enterprise Needs Its Own AI Orchestration Framework

AI orchestration as the foundation for enterprise success

Agentic AIOps in Action: How IT Operations Are Transformed with AI-driven Automation

Engineers spend more time reacting than building, while opportunities for innovation go unnoticed and

Data-Driven or Data-Deluded? The Difference is in the Execution

Saying you’re data-driven is easy. Proving it requires governance, culture, investment, and an openness to

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