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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. Hardware-as-a-Service (HaaS) is increasingly joining Software-as-a-Service (SaaS), creating what some have called “IT as a Service.” Blockchains.

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The Future of Corporate-Startup Collaboration

The Inovo Group

Collaboration can no longer be viewed as an optional extra, it’s a strategic imperative. The collaboration between large corporations and startups is more important today than ever, and the trend will continue. Both types of entities are realizing the advantages that can come from collaborating with their counterpart.

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Innovation and digital transformation of the healthcare industry

hackerearth

Herzlinger’s article titled “ Why Innovation in Health Care Is So Hard ,” which appeared in the May 2006 issue of Harvard Business Review.). The patients used monitoring devices at home to send medical data to the clinic, which used special software to identify patients who needed interventions. Artificial Intelligence Applications.

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Innovation and digital transformation of the healthcare industry

hackerearth

Herzlinger’s article titled “ Why Innovation in Health Care Is So Hard ,” which appeared in the May 2006 issue of Harvard Business Review.). The patients used monitoring devices at home to send medical data to the clinic, which used special software to identify patients who needed interventions. Artificial Intelligence Applications.

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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. P&G), software (e.g., become merely just more ‘software’ once they are commercialized.

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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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8 External Innovation Sources You should know

ITONICS

As of 2017, more than 200 colleges and universities have started dedicated innovation or entrepreneurship centers as members of the Global Consortium of Entrepreneurship Centers. Startups aggressively experiment with new technologies; artificial intelligence, robotics, or blockchain to come up with futuristic ways of providing business value.