• How to Develop Conversational AI for Your Business

    Since a few years, chatbots are here, and they will not go away any time soon. Facebook popularised the chatbot with Facebook Messenger Bots, but the first chatbot was already developed in the 1960s. MIT professor Joseph Weizenbaum developed a chatbot called ELIZA. The chatbot was developed to demonstrate the superficiality of communication between humans and machines, and it used very simple natural language processing. Of course, since then we have progressed a lot and, nowadays, it is possible to have lengthy conversations with a chatbot. For an overview of the history of chatbots, you can [...]

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    Why Big Data Should Be Called Mixed Data

    Big Data is here to stay, and it is having a profound effect on businesses and societies. That having said; there are still so many organisations that have no clue about what Big Data is. Big Data means different things for different people, organisations and industries. While it is true that Big Data has different advantages and possibilities for different organisations and industries, the definition of Big Data can and should be the same for everyone. Especially because that would be beneficial for the acceptance, and therefore application, of Big Data, resulting in more innovation and [...]

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    Understanding Your Business With Descriptive, Predictive And Prescriptive Analytics

    Companies have long been involved in the analysis of how a company performed over time. As the history of big data shows, already for many years, we try to understand how the organisations or the world around us behaves by analysing the available data. In the past, this used to be merely descriptive analytics. This answers the question “what happened in the past with the business?” With the availability of big data we entered the new area of predictive analytics, which focuses on answering the question: “what is probably going to happen in the future?” However, the real advantage of [...]

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    5 Easy Steps to Embed Big Data in Your Business

    For many organisations, it is still difficult to understand what Big Data is and how it should be incorporated into their business. This is quite understandable, as Big Data offers such radical and disruptive new possibilities as well as requires a dramatic cultural change for many organisations. The past weeks I have been thinking a lot about this and how this process could be simplified. Because when more organisations understand how to embed Big Data in their business, the more it will drive innovation and economic growth. We know by now that Big Data can have a big impact on any part of[...]

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    7 Reasons why the Algorithmic Business will Change Society

    The world around us is changing so rapidly, that even the hype big data is already outdated. Big data is nothing new any more, and by now we all know that more data is coming our way, rapidly. But in big data itself is no value at all.  We can all generate massive amounts of data after all. By itself, big data is not transformative. Not even big data analytics is driving the change, after all, any company can hire analysts to provide insights into your data. Where the real value lies is in algorithms. Algorithms define action, and dynamic algorithms are at the core of future businesses. [...]

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    Why The 3V’s Are Not Sufficient To Describe Big Data

    It is generally accepted that big data can be explained according to three V’s: Velocity, Variety and Volume. In a 2001 research report, META Group (now Gartner) analyst Doug Laney defined big data as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources). Later in 2012 Gartner updated the definition of big data as high volume, high velocity, high variety. Although I do not want to diminish the importance of the definition by Gartner, I do think that big data can be better explained by adding a few [...]

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    How Will the Future Of Big Data Impact the Way We Work and Live?

    The semantic web, or web 3.0, is often quoted as the next phase of the Internet. In a previous post, I discussed the impact of big data on the semantic web, and I mentioned that the semantic web would enable all humans as well as all internet connected devices to communicate with each other as well as share and re-use data in different forms across different applications and organisations in real-time. The future of big data takes full advantages of the semantic web, and it will have a vast impact on organisations and society. Jason Hoffman, CTO of Joyent, predicts that the future of big [...]

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