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Daniel Burrus’ Top 20 Tech-Driven Hard Trends Shaping 2017

Daniel Burrus

These trends for 2017 highlight enormous game-changing opportunities. Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. Some are optimized for IoT applications, while others are designed for different levels of security and speed. Not all clouds are created equal.

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Why is Enterprise AI so HOT Now?

Linda Bernardi

It is due to the confluence of six factors: 1. Culture of Agility There has never been a more exciting time for artificial intelligence in enterprises. The reasons are discussed in detail in my upcoming book, The Inversion Factor (MIT Press, October 2017), but I will unpack some of them here. Mega Data 2. Focused AI 4.

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You Are Being Digitally Disrupted – Do Something About It

The Inovo Group

There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035. In 10-15 years time, an Artificial Intelligence (AI) could be helping to run your company. Design-driven companies outperform other businesses according to 86% of survey respondents.

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Innovation and digital transformation of the healthcare industry

hackerearth

It is to be noted that designing a healthcare innovation plan (community/company) will depend on cultural and economic factors as well. Herzlinger’s article titled “ Why Innovation in Health Care Is So Hard ,” which appeared in the May 2006 issue of Harvard Business Review.). Artificial Intelligence Applications.

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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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Innovation and digital transformation of the healthcare industry

hackerearth

It is to be noted that designing a healthcare innovation plan (community/company) will depend on cultural and economic factors as well. Herzlinger’s article titled “ Why Innovation in Health Care Is So Hard ,” which appeared in the May 2006 issue of Harvard Business Review.). Artificial Intelligence Applications.

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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. As we all know the biggest buzz on the block today is “Artificial Intelligence”, well it is within this Knowledge Graphs we have a large part of its foundation. Building AI application requires Context.