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Will big data solve the innovation gap?

Jeffrey Phillips

Lately, with the advent of "big data", machine learning and other factors associated with data and more intelligent processes, the argument has been made that these capabilities will solve the innovation gap. However, I'm not so sure about disruptive needs and opportunities.

Big Data 170
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Recognizing the Building Blocks of Innovation

Paul Hobcraft

In frameworks and mechanisms , my favourite has always been the three horizons , followed by ideation platforms and contests, innovation centres, labs and accelerations, ambidextrous growth ( explore and exploit ), taking principles of disruptive innovation and staged and venture funding approaches. Open Innovation 2.0 (or

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What’s New In Corporate Innovation 26 January 2018

Imaginatik

Digital transformation is a global phenomenon and a universal disruption, changing every industry and every sector. This article provides a great insight into how the advances in the IoT, Big Data, Cloud Computing, and AI can be linked to major innovative disruptions in our healthcare services, manufacturing, and oil and gas industries.

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Top 10 CPG Industry Trends For 2020

Acuvate

With the rise in consumer awareness, CPG companies have broken out of conventional market strategies and adopted disruptive methods to capture business. In the coming years, the transformative trends in the CPG industry will be driven by data and technology, services that focus on customer centricity and smart supply chains.

Trends 72
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Top Takeaways from the 2019 Innovation Trends Report

InnovationTraining.org

Image taken from the 2019 Innovation Trends Report. In the 2019 Innovation Trends Report , Stanford University Professor Bret Waters looked at disruptive innovation at some of the largest companies in the world and how their executive teams are driving it on. Learn more about this report and the top takeaways from it below.

Report 40
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The Industry 4.0 Advantage

Daniel Burrus

is added to it, it takes on a whole new meaning, and blue-collar workers end up believing the narrative that robots and artificial intelligence (A.I.) Despite the now-proven Hard Trend that A.I., transformations allow us to work alongside machines in new, highly productive ways. Big Data and Analytics.

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COVID-19 and Supply Chain: Using AI and 3D Printing to Help Meet Surging Demands

Yet2

Demand volatility and Artificial Intelligence (AI). What is needed is stronger predictive models that can absorb large amounts of data to pick up trends early and smooth the curves to create the best picture of what people want and need. Supply shortages have often been the result of poor forecasting.

Meeting 64