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Dr Mark van Rijmenam, CSP

Dr Mark van Rijmenam, CSP

Dr. Mark van Rijmenam, CSP, is a world-leading strategic futurist and award-winning global keynote speaker who helps Fortune 500 leadership teams navigate AI and emerging technologies. Recognized by Salesforce as one of 16 global voices shaping the future of AI, he holds a PhD from University of Technology Sydney and is the author of six books on emerging technology and judgment in the AI era, including his latest book: Now What? How to Ride the Tsunami of Change. He is the founder of Futurwise and the developer of the Intelligence Age Scorecard that helps individuals and organizations understand how prepared they are for the future.

His pioneering efforts include the world's first TEDx Talk in VR in 2020. In 2023, he further pushed boundaries when he delivered a TEDx talk in Athens with his digital twin, delving into the complex interplay of AI and our perception of reality. In 2024, he launched a digital twin of himself, offering interactive, on-demand conversations via text, audio, or video in 29 languages, thereby bridging the gap between the digital and physical worlds – another world's first.

Dr. Van Rijmenam is a prolific author and has written more than 1,200 articles and six books in his career. As a corporate educator, he is celebrated for his candid, independent, and balanced insights. He is also the founder of Futurwise, which focuses on elevating global knowledge on crucial topics like technology, healthcare, and climate change by providing high-quality, hyper-personalized, and easily digestible insights from trusted sources.

Below, you can read all his articles.

How CTOs and CEOs See AI Differently (and How to Fix It)

CTO lives in scanning and experimentation. CEO lives in governance and workforce impact. They're evaluating AI through completely different lenses. Making the gap visible and measurable is how you fix it.

How to Validate AI Outputs Before They Influence Decisions

In an era of AI hallucinations, synthetic media, and misinformation, validation determines whether AI creates value or catastrophe. Organizations without systematic validation are one bad output away from a decision, product, or reputation failure.

AI Upskilling That Actually Works: Beyond One-Off Training

One-off AI training doesn't change behavior. Structural upskilling does: embedded in workflows, measured by outcomes, inclusive of non-technical leaders, connected to specific capability gaps.

From AI Anxiety to AI Confidence: A Practical Playbook

AI anxiety is rational. Your people see the headlines and don't know where they stand. 'AI won't replace you' messaging doesn't work because it doesn't give them anything to do. The path: uncertainty to awareness to competence to confidence.

How to Run an AI Workshop That Isn't a Waste of Time

The workshop that changes behavior starts with data. Have every participant complete an assessment before the session. Build the conversation around actual scores. End with 90-day commitments, not vague action items.

How to Run an AI Strategy Offsite With Actual Data

The best offsite starts with evidence your team can't argue with — their own scores. Present data, identify gaps, build 90-day plan. Data-driven disagreement is infinitely more productive than debating opinions.

Why Your Leadership Team Can't Agree on AI Strategy

CTO wants to experiment faster. General Counsel wants tighter governance. CHRO wants workforce preparation. They're prioritizing different capabilities without a shared framework. Name the conflict, and it resolves.

Como detectar viés de IA antes que chegue aos seus clientes

Um modelo de IA enviesado chegando aos clientes não é um problema de ciência de dados. O viés do modelo é sobre dados. Deixá-lo enviar é sobre governança perdida. As organizações que detectam viés fazem três coisas: validação pré-lançamento, monitoramento contínuo, teste independente.