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Recognizing the Building Blocks of Innovation

Paul Hobcraft

I think of the Gartner Hype Cycle here as we have gone through each of the stages of recognition of the application and the learning from this; we have the innovation triggers first, then a peak or inflated expectations, followed by troughs of disillusionment and finally by the slope of enlightenment, to give a new plateau of productivity.

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Infographic – 5 trends that will revolutionize the energy market in the next few years

mjvinnovation

Their analytical power comes from using Big Data and Machine Learning to design the best scenarios, manage risk, and elevate decision making to the next level of efficiency. Agile Delivery: Use Agile Practices – Agile and Lean. The Action Plan. Did you like our infographic?

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Beware conventional wisdom in innovation and digital transformation

Jeffrey Phillips

It advocates: Determine a Use Case for the new technology or approach Train people to be more proficient users of the new technology Start small - find small successes This advice was true for the following list of management concepts: ERP Lean Agile Six Sigma Doing business on the internet and I suspect many, many more.

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5 Digital Transformation Use Cases in the Automotive Industry

Acuvate

and the next-gen of mobility is the rapid emergence of artificial intelligence, intelligent automation, predictive analytics, and Big Data – delivering real-time insights to enable powerful innovation and transform the way automotive companies operate. Underpinning Industry 4.0

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Industry 4.0: what it is and what are its current impacts

mjvinnovation

is also called the “fourth industrial revolution” – the process initiated by England in 1760 was followed by major modernization movements: the “lean revolution” that occurred around 1970, the intensive globalization process in the 1990s and, more recently, the extreme automation started in the 2000s. Industry 4.0

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Intel Disrupted: Why large companies find it difficult to innovate, and what they can do about it

Steve Blank

Their most profitable segment is very high-end processors used in data centers in servers and the cloud. Today that’s built on the premise that an x86 architecture is the one best suited for big data. Lessons Learned. Horizon 1 – execute their existing business model(s).

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The next challenges in the area of ??Logistics and Supply Chain: what the post-pandemic designs

mjvinnovation

Digital Economy: small, lean, light, and innovative. Automation and artificial intelligence underpin management. The era of startups has changed the face of companies a lot, and this type of business model is nothing new. Many are already digitized, which does not mean that they run on the digital mindset.

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