The Year of Intelligence: 7 Big Data Trends for 2017

It is the end of the year again and a lot has happened in 2016. Google’s AlphGo algorithm [https://datafloq.com/read/algorithms-changing-business-how-to-leverage-them/1961] beat Lee Se-dol in the game of Go, Blockchain [https://datafloq.com/read/what-is-the-blockchain-and-

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Blockchain Explained – part 5 – ICOs and DAOs

The Blockchain has the potential to change our societies completely. However, it is still a nascent technology, one which can be difficult to grasp. Therefore, I am writing a series of blog posts on what is the blockchain. This is part 5 and the final blog post of this series.

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Blockchain Explained – part 4 – Transactions and Smart Contracts

Blockchain is rapidly gaining attention from organisations in every industry. However, it is a difficult to understand technology that, if not executed correctly could result in serious harm to your organisation. Therefore, in this series of posts on the blockchain, I explain what the Blockchain is and how it affects

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What is the Blockchain and Why is it So Important?

The blockchain is growing in importance. Increasingly organisations have to explore what this revolutionary technology will mean for their business. Marc Andreessen from the well-known VC firm Andreessen Horowitz calls it as big an invention as the internet. Last year, in my Big Data Trends [https://datafloq.com/read/

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Why Blending Data Analytics and Gut-Feeling Benefits your Business

Understanding the impact of big data is not self-evident for many companies. Big data offers endless possibilities [https://www.thedigitalspeaker.com/big-data-enables-open-strategy/] and as such organisations are, still, overwhelmed when it comes to big data analytics. Big data requires different technologies, new IT systems, new

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Why the 2016 Hype Cycle for Emerging Technologies is all about Data

Every year, Gartner published the Gartner Hype Cycle for Emerging Technologies [https://www.thedigitalspeaker.com/emerging-technologies-future-will-never-be-slow-again/] and today revealed the 2016 edition. Last year, Gartner tempered the expectations of Big Data [https://datafloq.com/read/gartner-tempers-the-expectations-of-big-data/159]

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