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Passionately curious about Data, Databases and Systems Complexity. Data is ubiquitous, the database universe is dichotomous (structured and unstructured), expanding and complex. Find my Database Research at SQLToolkit.co.uk

"The important thing is not to stop questioning. Curiosity has its own reason for existing" Einstein



Sunday, 12 February 2017

Where is Data Going?

There are many data related visions at the current time.

McKinsey are saying "Big data’s potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions.  A new report from the McKinsey Global Institute (MGI), The age of analytics: Competing in a data-driven world, suggests that the range of applications and opportunities has grown and will continue to expand"


Harvard Business Review are wrote an article discussing " "How Artificial Intelligence Will Redefine Management"  The fact is, artificial intelligence will soon be able to do the administrative tasks that consume much of managers’ time faster, better, and at a lower cost."








Microsoft discuss "Deep Learning is a hot buzzword of today... Deep Learning is now changing the very customer experience around many of Microsoft’s products, including HoloLens, Skype, Cortana, Office 365, Bing and more. Deep Learning is also a core part of Microsoft’s development platform offerings. The applications of Deep Learning technology are truly so far reaching that the new mantra, of Deep Learning in every software, may well become a reality within this decade...Furthermore, it’s not just about doing deep learning standalone, but it’s rather about combining it with all kinds of data and analytics "


A definition of deep learning could be said to be "a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks."










In the operational world we should be dark data. Gartner describes dark data as "information assets that organisations collect, process and store in the course of their regular business activity, but generally fail to use for other purposes." This could lead to a revolutionary way to provide lean management of database systems which become fully automated.



















The research space is changing as Amazon, Google, Huawei, and Microsoft sponsor UC Berkeley RISELab, AMPLab’s successor. I think it will be interesting to see how MIT and Stanford, Berkeley go forward.

In the UK The Alan Turing Institute, was created by five founding universities – Cambridge, Edinburgh, Oxford, UCL and Warwick, and is the national institute for data science, headquartered at the British Library. Their mission is to make great leaps in data science research in order to change the world for the better. Data Science is the hot topic for Data and Business so it will be interesting to see how this institute evolves and changes how data science is incorporated into every business.

It seems to me that predictive analytics providing automation through all that dark data is a place requiring significant investment.

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