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Mark van Rijmenam

About Me

Dr. Mark van Rijmenam is Founder of Datafloq, one-stop source for emerging tech, offering C-level Executives information, and insights. He is also a faculty member of the Blockchain Research Institute in Toronto, and a strategic advisor to Cryptelo, Senno and Big Data Block. A highly sought-after international keynote speaker on big data, blockchain, AI, IoT, and disruptive innovation, he is named a global top 10 Big Data influencer and one of the most influential Blockchain people. He is the author of the book Think Bigger – Developing a Successful Big Data Strategy for Your Business, and co-author of the book: Blockchain: Transforming Your Business and Our World.

Seven Guidelines to Ensure Ethical AI

With the attention for AI growing, also the call for ethical AI is growing. This is not surprising seeing the many problems we have encountered already. The problems can arise when we rely too much on unaccountable AI. These problems exist due to biased algorithms that are trained using biased data and developed by biased developers. High-quality, unbiased data combined with the right processes to ensure ethical behaviour within a digital environment could significantly contribute to AI that can behave ethically. Since this is difficult to achieve, the European Union published a set of guidelines on how to develop ethical.

Five Blockchain Trends for You to Consider this Year

For blockchain technology to achieve wide-scale adoption, a decentralised ecosystem has to be developed. To achieve a decentralised society, many more components need to be built, requiring global standards and large investments.  Apart from the different industry layers that need to be developed, we will also continue to see new distributed ledger technologies and more exciting decentralised applications. With the blockchain ecosystem evolving, new applications and technologies come into play as well. Therefore, here are five blockchain trends that you should consider in the coming year.

How to Prepare for an Automated Future: 7 Steps to Machine Learning

Organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an umbrella term that covers multiple disciplines, each affecting the business in a slightly different way. Artificial intelligence can be divided into three different domains consisting of the seamless integration of robotics, cognitive systems, and machine learning. The objective of machine learning is to derive meaning from data. Therefore, data is the key to unlock machine learning. There are seven steps to machine learning, and each step revolves around data.

Why AI Will Make Organisations More Humane

AI will enable organisations to leverage data and embed smartness in every process and customer touchpoint. When you put smartness to work, it will empower your employees and customers and make your organisation more humane. In today’s organisations, a lot of employees have to deal with a lot of administrative tasks and bureaucratic processes. However, in the organisation of tomorrow, such tasks and processes will be managed by AI. Within the organisation of tomorrow, humans and AI will work together. 

A Short History Of Big Data

The term Big Data has been around 2005, when it was launched by O’Reilly Media in 2005.  However, the usage of Big Data and the need to understand all available data has been around much longer. While it looks like Big Data is around for a long time already, in fact Big Data is as far as the internet was in 1993. The large Big Data revolution is still ahead of us so a lot will change in the coming years. Let the Big Data era begin!

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