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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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So Where Is Innovation Heading?

Paul Hobcraft

These are big data analytics, the fast adoption of new technologies, mobile products and capabilities and digital design.See the above for the complete list on where innovation is heading, it makes interesting viewing. This agility needs the tools of testing, feedback, and adaptation to accelerate the innovation process.

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Jumping to a fresh cycle of innovation design

Paul Hobcraft

It adjusts and you learn. Can we find ways to be highly adaptable, agile and fluid in grabbing and taking the parts of the innovation system and constructing them into that design and process that works for that specific challenge? Learning to work and listen more with the outside of our organization.

Design 232
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Intel Disrupted: Why large companies find it difficult to innovate, and what they can do about it

Steve Blank

In the 21 st century it’s harder for large corporations to create disruptive breakthroughs. Disruptive innovations are coming from startups – Telsa for automobiles, Uber for taxis, Airbnb for hotel rentals, Netflix for video rentals and Facebook for media. Over the last decade, Intel missed two important disruptive trends.

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Applying the Three Horizon Thinking to a Fresh Perspective of Innovation Design

Paul Hobcraft

I would argue this fits within a constellation of partners all working towards delivering innovation that is highly valuable, radical, disruptive and distinctive. We need to design our systems to be highly agile. Systems that allow people to make their decisions based on the data they can access and predict a result.

Design 138
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The Industry 4.0 Advantage

Daniel Burrus

Big Data and Analytics. allows for streamlining, collecting and comprehending data from many different sources, including networked sensors, production equipment, and customer-management systems, improving real-time decision making. Agile and Anticipatory Cybersecurity. Industry 4.0 Autonomous Robots. Advanced Simulation.

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5 Digital Transformation Use Cases for the Government and Public Sector

Acuvate

In today’s highly disruptive and digital-driven world, governments and public sector institutions at all levels are leveraging newfound opportunities to use data and emerging technologies to empower citizens and build more transparent, efficient, agile, and cost-effective services and programs.