Bernard Marr

Bernard Marr has built a career translating complex data, analytics and artificial intelligence concepts for business executives and general readers, becoming one of the most widely read popular authors on data strategy. Born near Hamburg, Germany, he studied business, engineering and information technology at Cambridge University and later became a research fellow at Cambridge Judge Business School, an academic grounding he has since paired with a prolific public-facing writing career.

In 2006 Marr founded Bernard Marr & Co, a strategy advisory firm through which he has consulted for major organisations including Amazon, Google, Microsoft, NVIDIA, BP and NATO on data, AI and digital transformation strategy. His advisory work spans both private-sector technology strategy and public-sector and defence-adjacent organisations, giving him visibility across a wide range of industries grappling with data-driven change.

Marr is the author of more than 20 books on data, analytics and artificial intelligence, including Big Data in Practice, Data Strategy, and Artificial Intelligence in Practice, several of which have been translated into more than 20 languages and won industry awards, including a 2022 Business Book of the Year recognition. His writing style — accessible case studies rather than technical depth — has made him a favoured introduction to data science topics for non-specialist business audiences.

As a regular columnist for Forbes and a contributor to outlets including The Times, The Guardian, the Financial Times and Harvard Business Review, Marr has amassed a following of roughly four million across social media platforms and is consistently ranked among LinkedIn's top global business influencers. He is a frequent keynote speaker at corporate and industry events worldwide on the business implications of data, analytics and generative AI.

Marr's influence lies primarily in reach and accessibility rather than original technical research: he functions as a bridge between the technical data science community and the executives who fund and deploy data initiatives, shaping how a broad swathe of global business leadership understands and talks about data strategy and AI adoption.