Remove Big Data Remove Competition Remove Design Remove System
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Barriers to innovation, the cause and effect.

Paul Hobcraft

In some recent posts, I argued that we need to adopt a broader innovation ecosystem thinking and design. These barriers do not ‘magically’ change by delivering what I believe moves us to a better system for innovation, that of an ecosystem and platform architecture. They need a more fluid, highly adaptive design.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

I am working through what I think this should become in design and application, involving providing the key innovation building blocks as components of the innovation stack, using the innovation stack to guide platform development and the platform to support this innovation stack.

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

Paul Hobcraft

I recently applied the three horizons thinking to ‘frame’ a new innovation design. So the thinking intent of searching for a new innovation design had some framing assumptions that can leverage where we are to move towards a new future. This is a useful way to think about the initial 3H outcome.

Design 138
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Parkinson’s Law and the Peter Principle – are they relevant to innovation?

Idea to Value

In a competitive context, incompetence does not allow the mediocre to stay afloat for long and meritocracy is valuable and fair. Designers of performance management systems have many tools in their arsenal to make the judgement as “right” and as “fair” as possible.

Report 148
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Industry 4.0

eZassi

With Innovation Management In today’s rapidly evolving business landscape, staying ahead of the competition requires embracing Industry 4.0 It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain.

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

Productivity, labour costs, and product quality have benefited from the fixed automation and basic control systems used in traditional factory automation. For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

Productivity, labour costs, and product quality have benefited from the fixed automation and basic control systems used in traditional factory automation. For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions.

Data 52