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The Perfect Conditions for Entering A New Innovation Era in 2017

Paul Hobcraft

So if there was ever a time to clear the existing innovation agenda and rework the entire space for innovating, it is about to become the pressing reality as we enter into 2017. As we learn the value and power of these tools we become more fluid, more flexible and agile but equally more influenced. The Merging Conditions and Forces.

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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. Big Data and the use of High Speed Data Analytics. Separating good data from bad data will also become a rapidly growing service.

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11 Artificial Intelligence Eureka!s for Organizations: my recap of World Summit AI 2017

Open Innovation EU

Last week, on October 11 and 12, over 2000 professionals in AI gathered in Amsterdam at the World Summit AI 2017 and discussed the state of Artificial Intelligence and Machine Learning. Anno 2017, Artificial Intelligence equals Machine Learning. From Machine Learning to Cognitive Learning.

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7 Habits of Highly Innovative Companies

ITONICS

But we have good news for all those who have not yet taken the step into the right direction: Although every innovation has something new and unique, we can learn significantly from the companies that get it right and create a first how-to-plan based on their workflows, structures, and practices. million in 2017 (23.4% The place to be.

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The Future of Corporate-Startup Collaboration

The Inovo Group

New software technologies and tools will make it possible to create Startup Collaboration Platforms that enable the relationships to become more automated, structured and efficient. They had recognized that many innovative initiatives fail in the early stage of development due to, among other things, a lack of secure funding.

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Why is Enterprise AI so HOT Now?

Linda Bernardi

It is due to the confluence of six factors: 1. Mega Data 2. 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. We are past Big Data (which occurred with the advent of mobile, apps and social media), and are in the Hyper-Data stage.

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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

1 Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. 3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data.

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