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Why We Are Entering A New Innovation Era.

Paul Hobcraft

Posted on September 25, 2015. Moving towards a new innovation service model, Posted on August 12, 2015. A new innovation perspective – change to fluidity, Posted on June 29, 2015. Posted on January 4, 2015. As new digital technology dawns for innovation. The New Innovation Value Chain Perhaps?,

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10 Technology Driven Hard Trends Shaping 2016

Daniel Burrus

Technology has become everyone’s business as we enter the next stage of this digital transformation where even your next toaster or refrigerator will connect to the Internet. In this article, I’ll highlight ten technology-driven Hard Trends that I would like you to spend time thinking about and better yet, act on.

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Finding the Advantage in Regulation

Daniel Burrus

Thanks to the increasing speed of transformational changes driven by exponential technologies, new legislation and regulation will be needed. In 2015, according to one source , the Federal Register reported more than 3,000 final rules and regulations, with thousands more proposed. That trend has done anything but slow down.

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Developing a new framework for risk and innovation.

Paul Hobcraft

Interestingly, the pace of innovation stands among the top three risks in 2015 and tops along with regulatory risk, the list foreseen in 2018. With technology disruption, business model disruption and growing competition, social and customer engagement challenges the ability to manage innovation is growing as a concern and in risk management.

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Developing a new framework for risk and innovation.

Paul Hobcraft

Interestingly, the pace of innovation stands among the top three risks in 2015 and tops along with regulatory risk, the list foreseen in 2018. With technology disruption, business model disruption and growing competition, social and customer engagement challenges the ability to manage innovation is growing as a concern and in risk management.

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The Arrival and Potential of Knowledge Graphs into Our World

Paul Hobcraft

Most of what I have read and researched gives detailed explanations of how they work and throws around all the different jargon, protocols such as the need to understand the important semantic technologies, concepts, and methods like RDF, URI, SPARQL, SKOS, and OWL. Building AI application requires Context. So are you with me so far?