Remove Big Data Remove Disruption Remove Innovation Remove Technical Review
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Infoxication: Why Big Data is the solution

mjvinnovation

It was the Spaniard Alfons Cornella, a technology expert and best-selling author, who gave rise to the concept there by the early 2000s. Here, let’s reflect on Infoxication at the business level, which has to do with the concept of Big Data, as we will see throughout this article. As you saw, the problem is a given.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

I finished my last post, “ Are we EVER going to embrace innovation? ” With the argument, we need to change the innovation narrative and significantly update the innovation approach and processes to meet today’s and tomorrow’s business challenges. The need today is not to dispense with this but to link it fully up.

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Technology leads, innovation exploitation is lagging

Paul Hobcraft

There is a growing, perhaps even an overwhelming business case, for transforming the innovation management structure. The new combination is the new connections through people and things (IoT) that we can achieve a new innovation potential. Our innovation systems are lagging significantly behind.

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Jumping to a fresh cycle of innovation design

Paul Hobcraft

I have argued in the past that innovation management needs to radically adjust and needs to be designed differently, it needs to be highly adaptive. I’d like to offer some views, partly looking out to the future, partly considering what is potentially within our grasp, if we step back and rethink innovation design.

Design 233
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Digital Twins: what it is, how it works, and the advantages of this technology

mjvinnovation

What Digital Twins Technology is and How It Works. The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing. The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing.

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A Little at First and Then All at Once: The Growing Value of Data

Daniel Burrus

In the early years of the Internet, and leading up to the days of mobile devices, collecting and analyzing data was a slow process. Information had to be stored somewhere, and companies often outsourced this storage to remote servers for later review. Edge Computing and Everything-As-A-Service.

Data 76
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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

In part 1 of this post , Ralph revisited key innovation issues that were already addressed by us three years ago. It turns out more essential than ever for corporations to find ways how they can balance their innovation portfolio and to evaluate which structures, strategies and resources they have to put in place.