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How to Help a Non-Technical Audience Understand their readiness for Data Science

Last week I had the pleasure of working with the University of South Wales (USW) to help non-technical people understand Data Science. More specifically, I was running a Masterclass entitled “Everyday Data Science“. The brief […]

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Setting up an Analytics Team for Success = Get Fuzzy!

Building on our month focussed on controversial topics, let’s turn to what will set your team up for success. Different contexts can require different types of the analytics team. A lot of the advice that I […]

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Advances in Blockchain Analytics, Through more Investment & Collaboration

Since our previous post, raising questions for Blockchain to answer, I have seen more news on Blockchain Analytics. It seems many individuals and firms are working in this space. To bring together the […]

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3 Questions for Blockchain, if it is to help Analytics Leaders

Ever since completing our popular series, sharing resources from the #CityChain17 blockchain conference, I’ve been ruminating on some fundamental questions for blockchain. These are questions relevant to Data & Analytics leaders, especially if blockchain technologies are to […]

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How to Ensure Your Privacy in a Data-Driven Future

There is a downside to the abundant presence of data in today’s society. Today’s tech giants such as Google, Amazon, Facebook, Microsoft, Tencent and Alibaba have long recognised that data is a […]

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The Role of AI in Data Security

Artificial Intelligence (AI) is considered by many to be the present and future of the tech industry. Many industry leaders use AI for various applications to provide valuable services and prepare their […]

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Data Engineering From A Data Scientist’s Perspective

We’ve had technical people focused on the ingestion and management of data for decades. But, only recently has data engineering become a critical, widespread role. Why is that? This post will outline […]

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Is the 4th Industrial Revolution Underway?

In 1965, the American engineer Gordon Moore predicted that the number of transistors per silicon chip would double every year. This observation, called Moore’s law, underpinned long-term planning strategies and shaped our […]

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