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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 to Catch AI Bias Before It Reaches Your Customers

A biased AI model reaching customers isn't a data science problem. The model's bias is about data. Letting it ship is about missing governance. Organizations that catch bias do three things: pre-deployment validation, ongoing monitoring, independent testing.

التقييم الفردي مقابل تقييم الفريق للذكاء الاصطناعي: أيهما تحتاج؟

يظهر التقييم الفردي حيث تبالغ في تقدير الاستعداد. يكشف التقييم الجماعي شيئاً أكثر خطورة: فجوات الإدراك. عندما يسجل مدير التكنولوجيا المسح بـ 4 والمدير المالي يسجله بـ 1، وجدت السبب الذي يوقف استراتيجيتك.

आपकी AI रणनीति काम नहीं कर रही (और पहले क्या ठीक करें)

आपने 18 महीने पहले AI व्यय को मंजूर किया और सार्थक परिणामों की ओर इशारा नहीं कर सकते। समस्या तकनीक नहीं है - यह प्रवृत्तियों को स्कैन करने और वास्तव में निष्पादन के बीच एक अंतराल है। एक संरचित निदान प्रकट करता है कि कौन सी हस्तांतरण विफल हो रही है और पहले क्या ठीक करें।

Wie Sie Ihre KI-Bereitschaft gegen Ihre Branche bewerten

Sind Sie vor oder hinter Ihren Branchenkollegen? Gesamtdaten offenbaren Muster: Finanzwesen führt bei Governance, hinkt aber bei Belegschaftsbereitschaft hinterher. Healthcare beobachtet Trends gut, kann aber nicht schnell pivotieren. Ihr Bereitschaftsprofil ist branchengeformt.

La Liste de Contrôle de Préparation IA que Chaque PDG a Besoin en 2026

Scannez-vous au-delà de votre propre secteur? Pouvez-vous passer du pilote à la production en moins de 90 jours? Qui valide les résultats IA avant que les clients les voient? Un employé subalterne pourrait-il proposer une expérience IA et être doté de ressources en un mois? Ces quatre questions

Verizon's Future Readiness: Decade-long AI Bets, Reviewed on an Annual Clock

A public-data WAVE assessment of Verizon's AI readiness reveals a deployment surface running well ahead of the verification and workforce controls beneath it.

Waarom de meeste AI-rijpheidsmodellen het punt missen

De meeste AI-rijpheidsmodellen stellen de verkeerde vraag. Wat telt is of uw organisatie signalen kan scannen, snel kan experimenteren, AI-outputs kan beheren en haar personeelsbestand kan voorbereiden. Technologie zonder deze mogelijkheden creëert fragiliteit.