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Dr Mark van Rijmenam, CSP

Dr Mark van Rijmenam, CSP

Dr. Mark van Rijmenam, CSP, is a world-leading futurist and global AI 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.

Seven Big Data Trends for 2014

Seven Big Data Trends for 2014

As Big Data will become common language in boardrooms, what are the most important Big Data trends for 2014? Here is a list of seven Big Data trends.

How The Industrial Internet Will Change The Industrial Sector

The Industrial Internet brings together intelligent machines, advanced analytics and the creativity of people and will revolutionize the industrial sector.

MasterCard Helps Retailers Perform Better with Big Data

MasterCard Helps Retailers Perform Better with Big Data

For MasterCard, big data is big business and with all their data at hand they are helping merchants gain better insights and more revenue.

How The Financial Services Industry Should Use Big Data To Regain Trust

How The Financial Services Industry Should Use Big Data To Regain Trust

If there is any industry that can benefit from big data, it is the financial services industry, but they will have to deal with many privacy issues.

The Control of Personal Data by Large Powerful Corporations

Nicholas Carr discusses the dangers that occur when large companies such as Twitter, Facebook and Google own the majority of personal data.

Five Preconditions To Adhere To When Developing A Big Data Strategy

Five Preconditions To Adhere To When Developing A Big Data Strategy

Developing a big data strategy is difficult and one of the many things you have to take care of is how to deal with the data you have or need to have.

Kayak Uses Big Data To Predict The Best Day To Book Your Travel Journey

Kayak Uses Big Data To Predict The Best Day To Book Your Travel Journey

Kayak is a meta search engine for the travel industry and they have adopted big data throughout their organisation to create better services.

How The Education Industry Should Start Using Big Data

What are the implications of the lack of data in the Education Industry and how can big data improve the learning experience.

How Trust Could Drive Trillions of Dollars With Big Consumer Data

How Trust Could Drive Trillions of Dollars With Big Consumer Data

Massive amounts of consumer data a created during their daily activities that can only be valuable information to companies if privacy and trust is ensured.

Why Marketers Should Stop Worrying And Start Loving Big Data

Why Marketers Should Stop Worrying And Start Loving Big Data

Big Data offers great possibilities and opportunities for marketers to start making a lot of money based on their data, it's time to start loving big data.