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A new paradigm: focusing on Work to be Done

Paul Hobcraft

Much of what we read about with artificial intelligence, deep learning and robots can present a fear that our jobs are simply going, vanishing fairly soon. Technology, machines and information solutions will take over in this new world of accelerating technology with the concern of “so then, what do we do?

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Buttons and Threads: A Modern Ecosystem Perspective

Paul Hobcraft

Buttons & Threads: Applying a Modern Ecosystem Perspective In today’s rapidly evolving digital landscape, the “buttons and threads” concept perhaps is a powerful metaphor for understanding and designing interconnected business ecosystems.

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How Chief Innovation Officer (CINO) may replace the traditional Chief Information Officer (CIO)

hackerearth

Now, disruption of the enterprise by advanced technologies (blockchain technology, artificial intelligence, robotic process automation, cognitive computing, machine learning, and chatbots) is giving rise to the role of the Chief Innovation Officer (CINO). But only 14 percent say that they can do it well.

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Design Thinking: The Smart Way to Fail, Learn, and Innovate

Tullio Siragusa

Design Thinking: The Smart Way to Fail, Learn, andInnovate The Cost of Learning the Hard Way Some of the greatest lessons in business dont come from textbooks or executive seminars but from real-world experimentation. The Power of Structured Experimentation Design Thinking is more than a processits a mindset shift.

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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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Artificial creativity (A.C.): Can a computer be creative? It’s scarily close

Idea to Value

In 2013, I wrote a breakthrough article on the nascent examples of computers beginning to generate ideas in a way similar to human creativity. Here I revisit the article with all-new evidence showing how close we are to artificial creativity. Machine Learning. But the second album will show a lot more nuance and variety.

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When Pundits Say That Robots Will Take Our Jobs, Remember These 4 Things

Innovation Excellence

trillion dollars in wages are highly susceptible to automation and a 2013 Oxford study that found 47% of jobs will be replaced. Basic activities like legal discovery are now largely done by algorithms. There are even artificial intelligence systems that can predict the outcome of a court case better than a human can.