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  • Articles by Van Rijmenam

    Why the Government of Tomorrow is Also a Data Organisation

    Nowadays, every organisation is a data organisation. This not only applies to commercial organisations, but also to governments. Governments at every level – local, regional, national and supranational – should take a different approach to organise their activities. However, becoming a data organisation is not an easy feat. It requires governments to rethink all their processes and all citizen touchpoints. Even though governments do not have such fierce competition as organisations do, they too have to adopt technologies such as predictive analytics, blockchain and AI to improve their [...]

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    How Artificial Intelligence Will Disrupt the Financial Sector

    Artificial intelligence thrives with data. The more data you have, the better your algorithms will be. However, just having a lot of data is not sufficient anymore. You also need high-quality data, or in the words of Peter Norvig, you need better data: “We don't have better algorithms, we just have more data. More data beats clever algorithm, but better data beats more data." - Peter Norvig - Director of Research, Google Nowadays, most organisations collect vast troves of data, but especially the financial sector is well-suited for also collecting high-quality data. Simply because of [...]

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    Why Our Fast-Changing World Requires Us to Change How We Collaborate

    The world around us is changing faster than ever before. It is changing politically (Brexit), socially (generation Z hitting the labour market), technologically (AI, quantum computing, blockchain and IoT coming our way), economically (continuous trade wars between US and China and the upcoming economic powerhouse China) as well as environmentally (climate change). This is a significant challenge for citizens to deal with. As a result, we see a movement towards populism, nationalism and in-ward looking politics (make America great again, and Brexit are perfect examples of this). After all, [...]

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    Seen and Be Seen: How Facial Recognition Will Change Society

    With the number of cameras drastically increasing in our world, facial recognition is rapidly taking flight. Facial recognition is a biometric faceprint, where artificial intelligence maps an individual’s face mathematically. This faceprint is then stored in data. Later, the stored data can be compared with a live or digital image using deep learning to verify someone’s identity. Facial recognition can be integrated anywhere there is a camera. As a result, the number of applications for facial recognition is growing rapidly, from security to retail and consumer electronics to government[...]

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    Seven Guidelines to Ensure Ethical AI

    The organisation of tomorrow will be built around data, and it will require artificial intelligence to make sense of all that data. Artificial intelligence is a broad discipline with the objective to develop intelligent machines. AI consists of several subfields: Machine learning (ML), a subset of AI that enables machines to learn from data. Reinforcement learning, which is a subset of ML and focuses on artificial agents that use trial and error to improve itself. And deep learning, also a subset of ML that aims to mimic the human brain to detect patterns in large datasets and benefit from [...]

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

    The increasingly digital economy requires boards and executives to have a solid understanding of the rapidly changing digital landscape. Naturally, artificial intelligence (AI) is an important stakeholder. Those 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. When we look at artificial intelligence, it can be divided into three different domains: Robotics, which deals with the physical world and it can directly[...]

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    Five Blockchain Trends for You to Consider this Year

    The blockchain ecosystem is rapidly expanding. New blockchains or different consensus mechanisms are announced continuously, resulting in a more mature ecosystem. 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. I estimate that it will take another 3–5 years before the ecosystem is ready for full-scale, enterprise adoption. Apart from the different industry layers that need to be developed, we will also [...]

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    Could Blockchain Prevent the Internet of Vulnerable Things?

    The Internet of Things is coming. Unfortunately, connected devices have a variety of vulnerabilities and almost any smart device is a vulnerable device. Security issues include technical problems (outdated software, insecure data transmissions, etc.) and people problems (simple and default passwords, public Wi-Fi, etc.). As more devices connect to the internet and each other without proper security, the Internet of Things will quickly become the Internet of Vulnerable Things. With the Internet of Things being around the corner now, it is time to start securing connected devices. Especially,[...]

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    Blockchain Requires Industry Collaboration: The Launch of INATBA

    When the web was developed over 25 years ago, the technologies in place significantly lowered the cost of building a global company. Thanks to the internet, it has become possible to reach a large part of the global population simply from behind your computer. Those companies who first understood the power of the web, and managed to execute their vision correctly, are now the leading global monopolies we are so familiar with: we use Google for finding information, Facebook or WeChat for social activities, Amazon to shop and Apple for our hardware, etc. But times are changing since Satoshi [...]

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    The Organisation of Tomorrow – Available Soon!

    On March 18, 2019, I was notified by the University of Technology Sydney that I had officially completed my PhD (yay!). As a result, I now hold a PhD in management. During my PhD, I researched how emerging information technologies such as big data analytics, blockchain and artificial intelligence, challenge organisation design and strategic management, and bring the role of data in organising to the fore. Big data analytics empower consumers and employees, resulting in open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and [...]

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