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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. 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. Advanced Cloud Computing Services.

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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. legislation on data. Our data is our business.

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7 Habits of Highly Innovative Companies

ITONICS

Even though it took 7 months for the founders to persuade Bosch leadership that their vision is doable, the startup developed a software with machine learning and analytics integrated within the networks of the retailer and the IoT application. Often, it’s due to the speed at which they can innovate and this has a lot to do with their size.

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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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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. The usurper is in the ascendency and will be even more encouraged by the political need to renew, due to the increased funding to undertake this.

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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

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. Separating good data from bad data will also become a rapidly growing service. #4

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