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Recognizing the Building Blocks of Innovation

Paul Hobcraft

So this post reviews many great contributors to advancing innovation over the years. Design Thinking : The whole emphasis and approach involve using empathy, creativity, and experimentation to solve complex problems. Briefly, I summarize what these have been bringing into innovative thinking. This evolved over many years.

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Unlocking Innovation with Data, Creativity, and Automation

Tullio Siragusa

No matter what your path is, it’s important to stay up to date on the latest trends and technologies to stay ahead of the competition. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success. Recently caught up with Alex on the Tech Backstage Podcast.

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A better way: combining Design Thinking and Business Intelligence

mjvinnovation

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

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4 Ways to Amplify Digital Innovation in 2018

Gregg Fraley

Has there ever been a moment in time when so many new technologies are washing over us all at once? AI, Analytics, IoT, Big Data, Cloud, Mobile, Social Media, Sensors, Robotics, Augmented Reality, Voice Recognition… and the list goes on. Why is this challenge so different from previous innovation challenges?

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Data-Driven Mindset: how to implement data culture in your company?

mjvinnovation

The benefits of guiding your decision making with data are numerous, among them: Cost reduction Decrease in rework Efficiency Customer satisfaction Market value. The rise of data-driven culture. Data Science. Technically you could say that Amazon is strictly a retailer, but that would be too simplistic. Design Thinking.

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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

On top of this, from an incumbents’ point of view, there are legitimate reasons for rejecting a new technology. But incumbents would be willing to make changes if a new technology proves to be truly disruptive and the long-term benefits are worth it. Digital Transformation. Even fewer are actually investing in them. (…).