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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.

Por Que a Maioria dos Modelos de Maturidade em IA Erra o Alvo

A maioria dos modelos de maturidade em IA pergunta se você adotou tecnologias específicas. Pergunta errada. O que importa é se sua organização consegue escanear sinais, experimentar em velocidade, governar saídas de IA e preparar sua força de trabalho. Tecnologia sem essas capacidades cria

Pourquoi Votre Stratégie IA Ne Fonctionne Pas (Et Ce Qu'il Faut Corriger en Premier)

Vous avez approuvé les dépenses IA il y a 18 mois et ne pouvez pas montrer de résultats significatifs. Le problème n'est pas la technologie — c'est un écart entre l'observation des tendances et l'exécution réelle. Un diagnostic structuré révèle quel transfert échoue et ce qu'il faut corriger en

Como Medir Prontidão em IA Sem Contratar Uma Firma de Consultoria

Avaliações de prontidão em IA em nível empresarial custam centenas de milhares e levam meses. Agora há uma alternativa de 25 dólares usando questões de IA adaptativas para entregar a mesma análise pilar por pilar em 15 minutos — personalizada para sua indústria, tecnologias e respostas reais.

5 चेतावनी संकेत कि आपका संगठन AI में पिछड़ा है

आपका सीईओ कहता है कि आप AI पर प्रगति कर रहे हैं। पांच संकेत अन्यथा कहते हैं: पायलट जो कभी शिप नहीं होते, कोई शासन ढांचा नहीं, कार्यबल प्रतिरोध बिना योजना के, और कोई क्रॉस-टीम समन्वय नहीं। तीन या अधिक? आपके पास एक तैयारी समस्या है।

AI Maturity Levels Explained: Where Does Your Organization Fall?

Most organizations fall into one of four AI maturity bands. Reactive means you're exposed. Responsive means foundations exist but gaps remain. Strategic means advantage is emerging. Visionary means you're shaping the future. The difference isn't budget — it's capability balance.

How to Measure AI Readiness Without Hiring a Consulting Firm

Enterprise AI readiness assessments cost hundreds of thousands and take months. There's now a $25 alternative using adaptive AI questioning to deliver the same pillar-by-pillar analysis in 15 minutes — personalized to your industry, technologies, and actual answers.

Why Most AI Maturity Models Miss the Point

Most AI maturity models ask whether you've adopted specific technologies. Wrong question. What matters is whether your organization can scan for signals, experiment at speed, govern AI outputs, and prepare its workforce. Technology without these capabilities creates fragility.

The AI Readiness Checklist Every CEO Needs in 2026

Are you scanning beyond your own industry? Can you move from pilot to production in under 90 days? Who validates AI outputs before customers see them? Could a junior employee propose an AI experiment and get resourced in a month? These four questions tell you everything.