Bernard Marr
Most leadership teams have formally committed to AI and data as strategic priorities. The harder problem is what comes next. Boards and executive committees that cannot interrogate vendor claims, distinguish genuine capability from hype, or set coherent data governance policy become dependent on specialists whose priorities may not align with theirs. Strategic intent without strategic fluency produces expensive, poorly governed technology programmes – and the gap is widening faster than internal capability is growing.
Bernard Marr – former Cambridge Judge Business School research fellow, Forbes contributor, and author of more than 20 books on AI, data and digital transformation – helps executive teams develop the strategic fluency to lead technology-driven change, not merely authorise it.
Full Profile
Why organisations work with Bernard Marr
- His frameworks for data strategy and AI adoption are grounded in peer-reviewed academic research from Cambridge and Cranfield – which means they hold up to internal scrutiny in ways that practitioner opinion rarely does.
- Business Trends in Practice, winner of the 2022 Business Book of the Year Award, gives executive audiences a shared, structured vocabulary for decisions that are otherwise made in fragmented, jargon-heavy conversations.
- His Forbes column reaches approximately one million readers a month – meaning his conceptual framing is often already in the room before he arrives, which accelerates rather than starts the conversation.
- He advises organisations across the full spectrum of sectors – from Google and Microsoft to the Bank of England, NATO and the NHS – which gives him a pattern-recognition advantage that single-sector specialists cannot replicate.
- Where most AI speakers address technology adoption as an IT problem, Marr consistently frames it as a governance and leadership problem – which is what boards and C-suites are actually wrestling with.
Biography highlights
- Research Fellow, Cambridge Judge Business School; subsequently at Cranfield School of Management – before founding Bernard Marr & Co in 2006
- Author of more than 20 books on AI, data strategy and digital transformation, published in over 20 languages
- Business Trends in Practice named Business Book of the Year 2022; additional awards include the CMI Management Book of the Year, Axiom Book Award and WHSmith Best Business Book Award
- Ranked by LinkedIn as one of the top 5 business influencers in the world
- Regular contributor to Forbes and the World Economic Forum; media presence includes BBC News, Sky News, the Financial Times, Wall Street Journal and HBR
- Advisory clients include Amazon, Google, Microsoft, the Bank of England, NATO, the NHS, Shell and the United Nations
Biography
Bernard Marr spent his early career as a research fellow at Cambridge Judge Business School and then at Cranfield School of Management, where his published work – cited more than 5,400 times – focused on business performance, intellectual capital and strategic measurement. In 2006 he left academia to found Bernard Marr & Co, taking that analytical infrastructure into advisory work with some of the world’s most complex organisations.
His books – more than twenty of them, translated into over twenty languages – are not airport business books. Data Strategy, AI Strategy, Generative AI in Practice and Future Skills each address a specific executive decision: how to treat data as a governed asset, how to build an AI adoption roadmap, how to prepare a workforce for automation. Business Trends in Practice won the 2022 Business Book of the Year Award. His writing for Forbes, published at a rate of around three articles per week, gives those frameworks sustained reach into executive audiences between engagements.
What makes Marr useful to a board is not that he explains technology well – many speakers do that. It is that he consistently reframes technology questions as governance questions: who owns the data strategy, how do we assess AI risk, what does leadership fluency in this area actually require? These are the questions that stall transformation programmes, and they sit above the pay grade of a CTO.
His advisory work spans Google, Microsoft, Amazon, the Bank of England, NATO, the NHS, Shell and the United Nations – a range that gives him cross-sector pattern recognition that sector-specific specialists cannot replicate. The organisations that benefit most from his work are those where the executive team is technically literate enough to know they don’t know enough, and needs a structured way to close that gap.
Key speaking topics
- AI strategy and adoption for executive leadership
- Data strategy and data governance
- Generative AI and its organisational implications
- Digital transformation and business performance
- Future of work and future skills
- Emerging technology trends and business impact
- Strategic performance management
Ideal for
- C-suite and board-level audiences navigating AI and data investment decisions
- Chief Digital Officers, Chief Data Officers and technology transformation leads
- Senior leadership teams ahead of major digital transformation programmes
- Corporate and enterprise conference audiences requiring clarity on technology without technical fluency as a prerequisite
Audience outcomes
- A working framework for evaluating AI and data investments – not just a description of what they are
- Clearer language for discussing technology strategy at board level, with less dependence on specialist intermediaries
- Understanding of which emerging technology trends carry genuine near-term organisational implications versus which are still speculative
- A more structured approach to data governance and the conditions under which data generates strategic advantage
- Insight into the skills and capabilities organisations will need to build – and which to acquire versus develop internally
Talks
Frames AI as a strategic leadership question – not a technology procurement decision – and gives senior audiences the conceptual tools to engage with AI initiatives with authority.
Key takeaways:
- How AI is reshaping decision-making, operations and competitive advantage across sectors
- The governance and leadership considerations that determine whether AI programmes succeed or stall
- What executive teams need to understand – and ask – when engaging with AI at scale
Examines the structural forces behind the current period of technological change and what they mean for how organisations compete, operate and lead.
Key takeaways:
- What distinguishes the Fourth Industrial Revolution from previous waves of technological disruption
- How these forces are already reshaping industries, workforces and business models
- The strategic decisions leaders need to make now to position their organisations for what follows
A sector-customisable talk drawing on real-world case studies of organisations that have moved from AI strategy to execution – what worked, what failed and why.
Key takeaways:
- Concrete examples of AI application across industries, from healthcare and finance to manufacturing and retail
- The organisational conditions that separate successful AI programmes from expensive pilots
- How leadership teams can move from AI ambition to accountable, measurable implementation
An evidence-based overview of the business and technology trends most likely to affect executive strategy over the next three to five years.
Key takeaways:
- The major converging trends – technological, social and commercial – that leaders need to factor into strategic planning
- How these trends interact and what their combined effect means for specific industries
- What organisations should be doing differently in their planning cycles right now
A strategic, non-technical framework for how organisations can treat data as a governed, monetisable asset rather than an IT by-product.
Key takeaways:
- How to build a data strategy aligned to business objectives rather than infrastructure capabilities
- The governance decisions – ownership, access, quality, ethics – that determine whether data investments pay off
- How leading organisations are using data to improve decisions, streamline operations and create new revenue streams
Videos
Testimonials
Books
Fees
| EUR | GBP | USD | |
|---|---|---|---|
| Home Country | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Asia Pacific | €40000 to €90000 | £35,001 - £75,000 | $50000 - $100000 |
| Europe | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Middle East & Africa | €40000 to €90000 | £35,001 - £75,000 | $50000 - $100000 |
| South America | €40000 to €90000 | £35,001 - £75,000 | $50000 - $100000 |
| United Kingdom | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| US East Coast | €40000 to €90000 | £35,001 - £75,000 | $50000 - $100000 |
| US West Coast | €40000 to €90000 | £35,001 - £75,000 | $50000 - $100000 |
| Virtual | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |