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How machines learn (a great video explanation of deep learning)

Idea to Value

In today’s dose of inspiration, I wanted to give you an insight into one of the most innovative technologies of the past few years which has the potential to revolutionise entire industries: machine learning. If you want to be a startup on the cutting edge of buzzwords, you have two major avenues right now.

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How Consultants Can Use AI to Drive Organizational Change

Leapfrogging

Artificial intelligence is revolutionizing the field of business consulting. Competitive Advantage : Using AI can give you an edge in the consulting industry, making your services more desirable to potential clients. This might include data management systems, CRM platforms, and other enterprise software.

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My 5 S for future Innovation: Smart, Stacks, Scale, Storage, and Software

Paul Hobcraft

We are in the middle of a technological-led industrial revolution It is becoming highly dynamic. They (Mendix) saw the takeover give them a real chance to accelerate in low-code with stronger R&D investments and geographical expansion.

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The Arrival and Potential of Knowledge Graphs into Our World

Paul Hobcraft

If only we can get them prised out of the engineer, data scientists, or software experts hands. It might become the next big “buzz”, I recently heard being as topical as “Artifical Intelligence” as a prediction for use in an industrial application. As big- wow. Building AI application requires Context.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Applications of Artificial Intelligence (AI) in business

hackerearth

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. trillion per annum from their less informed peers by 2020.” predicts Forrester Research.

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5 Tech Issues That Can Slow Down Innovation

IdeaScale

The seeming slowdown in innovation is also partly due to expansion in outcome-based industries like finance and healthcare that are more difficult to measure than how many widgets one produces. Innovations like virtualization and utilizing proxy servers has been a boon for software research, development, and production.