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What is Bernard Marr?
Bernard Marr is a business and technology author, speaker, adviser and online educator. His site presents him in several roles: influencer, keynote speaker, board adviser, consultant, writer, trainer and commentator. The common thread is helping organisations use data, analytics and AI to make better decisions and improve performance.
What you can find on the site
- Books on generative AI in practice, AI strategy and data strategy.
- Online courses, including Data Strategy, Mastering Key Performance Indicators (KPIs), and AI Strategy.
- Articles on current AI topics, such as AI risks, AI competition and the skills employers want.
- Services for organisations: keynote speaking, board advisory, consulting, training and research.
Who it is for
The material suits business leaders, managers, analysts and consultants who want practical, non-academic explanations of AI, data and performance management. It is less suited to readers looking for deep technical implementation details, code or model architecture.
How to use it
Start with the topic closest to your decision. If you need to build an AI plan, the AI Strategy book or course is the natural entry point. If your problem is measurement, the KPI course is more relevant. If you want a broad view of where generative AI is heading, the articles and the Generative AI in Practice book are the better fit. For organisational help, the speaking, advisory and training services are the relevant route.
For context on the wider field, compare with McKinsey & Company or Harvard Business Review.
How can I book Bernard Marr as a keynote speaker for my event?
Booking Bernard Marr as a keynote speaker starts on his own site, where speaking is one of the services he offers alongside board advisory, consulting, writing and training. The practical route is to use the site's speaking or contact page rather than a social channel, and to approach it like a business booking: state your event, audience, date, format and budget range up front.
What to include in your enquiry
- Event name, date and location (or virtual format)
- Audience size and who they are — executives, managers, technical teams, mixed
- The outcome you want: inspiration, an AI or data strategy briefing, or a practical how-to session
- Session length and whether Q&A or a workshop is expected
- Your budget range and who handles travel and logistics
- A named contact for follow-up
What you are booking
Marr's public positioning combines business and technology, with AI, data strategy and performance management as recurring themes. He also speaks in German, which matters if your event is German-language. If your audience is already deep in implementation, a general keynote may feel introductory; his consulting and training work is the better fit for hands-on capability building. The reverse is also true — if you need a board-level case for AI investment, a strategy-focused talk does more work than a technical deep dive.
A useful next step
Before you send the enquiry, write one sentence describing what you want attendees to do differently afterwards. That sentence should shape the brief you send, and it will also tell you quickly whether a keynote, a workshop or an advisory session is the right format. If you are still choosing between speakers, compare their public talks on the same topic — Bernard Marr publishes articles and course material that show how he frames AI and data topics, which is a fair preview of his speaking register.
Decision criteria
| If your goal is… | Consider… |
|---|---|
| A board-level case for AI or data investment | A strategy keynote |
| Practical skills for a working team | Training or a workshop format |
| Broad inspiration for a mixed audience | A general future-of-business keynote |
| A German-language audience | Confirm language in your first message |
Availability, fees and travel terms are set by his team, so treat any figure you see elsewhere as unverified until they confirm it directly.
What online courses does Bernard Marr offer?
Bernard Marr's site lists three online courses, all aimed at business professionals rather than technical specialists: Data Strategy, Mastering Key Performance Indicators (KPIs), and AI Strategy. Each is presented with a short course overview and a call to action on the page — the Data Strategy course shows "Buy Now," while the KPI and AI Strategy courses offer a "Start for Free" option — so pricing and access details are worth checking directly on Bernard Marr before committing.
What each course covers
- Data Strategy with Bernard Marr — Framed around using data as the "fuel for optimal business decisions," with the stated goals of process improvement, protecting profits, and driving growth. Best suited to managers or teams that already collect data but lack a plan for using it.
- Mastering Key Performance Indicators (KPIs) — An "essential guide to performance management systems and KPIs." Useful if your organisation measures too much and reports too little, or if you need to connect metrics to strategy.
- AI Strategy with Bernard Marr — Described as "applied AI strategy and execution," i.e., moving from AI interest to a workable plan. A reasonable starting point for leadership teams under pressure to "do something with AI."
How to choose
| If your problem is… | Start with |
|---|---|
| Messy or unused data | Data Strategy |
| Too many metrics, unclear priorities | Mastering KPIs |
| Pressure to adopt AI without a plan | AI Strategy |
A practical next step: pick the course matching the bottleneck you can name in one sentence. If you can't name one, the KPI course is often the most clarifying first move, because it forces you to define what "better" means before you invest in data or AI.
Which books has Bernard Marr written on AI and data strategy?
Bernard Marr's own site highlights three books that map directly onto AI and data strategy:
- Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society — the most current of the three, aimed at readers who want concrete examples of how generative AI is being applied across business and society rather than a technical build guide.
- AI Strategy: Understand the power of AI and use it to gain a competitive advantage for your business — framed around strategy and competitive advantage, so it suits managers and executives deciding where AI fits in an organisation.
- Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business — the foundational title, covering how data underpins AI and business transformation.
How to choose
If you are new to the topic and want to understand the data foundations first, start with the data strategy book. If your organisation is already asking "what should we do with AI?", the AI strategy title is the more direct fit. If you want a broad, example-led tour of generative AI's impact, the generative AI book is the one to pick.
The site also lists online courses on data strategy, KPIs and AI strategy, which may overlap with the books; check the course pages if you prefer structured lessons over reading.
For a fuller picture, Marr's articles and speaking work are gathered at Bernard Marr.
What consulting services does Bernard Marr provide for businesses?
Bernard Marr's site positions him as an adviser and educator on business technology, with consulting offered alongside speaking, training and writing. For a business, the practical services described are:
- Board and executive advisory — he advises boards and executive teams, so engagements are aimed at leadership-level decisions rather than hands-on implementation.
- Consulting — listed as a distinct service area, alongside strategy, KPIs and metrics, big data, analytics and AI.
- Keynote speaking — conference and corporate talks drawing on experience with large companies and governments.
- Training and online courses — structured self-study in data strategy, AI strategy and KPIs, useful when you want to build internal capability rather than buy advice.
- Research and writing — books and articles on generative AI, AI strategy and data strategy, which work as low-cost preparation before a consulting conversation.
The trade-off is focus: this is strategy, performance-management and AI-adoption expertise at the leadership level, not a general-purpose agency for building software or running campaigns. If your need is a board-level roadmap or an executive briefing, it fits; if you need implementation capacity, expect to pair it with your own team or another supplier.
A sensible next step is to decide which problem you actually have. If leadership alignment on AI or data is the gap, an advisory or keynote engagement is the natural entry point. If the gap is skills, start with the relevant online course on data strategy, AI strategy or KPIs. For a broader view of his work and current thinking, see Bernard Marr.
How can I access Bernard Marr's recent articles and insights?
You can read Bernard Marr's recent articles and insights directly on his site's blog feed, where posts appear in reverse-chronological order with a "See All Recent Articles" link to browse the full archive. Recent pieces shown there include "Can AI Really Blackmail Or Hack You?", "Is AI Really Leveling The Playing Field, Or Making Big Tech Even More Powerful?" and "The AI Skills Employers Actually Want In 2026", so the feed mixes AI risk, market-structure and workforce themes rather than sticking to one narrow beat.
If you want more than the article feed:
- Follow his social channels for shorter, more frequent commentary — the site positions him primarily as an influencer at the intersection of business and technology, and that role is where quick reactions to news tend to surface.
- Use the books and online courses when you want structured depth rather than a single post. The site lists Generative AI in Practice, AI Strategy and Data Strategy as books, plus courses on data strategy, KPIs and AI strategy.
- Check the articles archive periodically rather than expecting email-style delivery; the pagination (1–7 and beyond) is the main way to walk backwards through older material.
A practical next step: skim the last two or three pages of the article archive and note which topics recur. If your interest is applied AI in organisations, the strategy and skills pieces will be more useful than the news-reaction ones; if you're tracking how AI affects competition and power, the Big Tech piece is the better starting point. For a second independent voice to compare against, MIT publishes research-led technology writing, and Harvard Business Review covers the management angle — useful because Marr's own output is commentary and advisory rather than peer-reviewed research, so pairing it with a research source helps you separate argument from evidence.
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United Kingdom
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