Data Engagement Innovation Processes Learning 
Paul Hobcraft
MARCH 20, 2024
So, how do we undertake this need to think through and recognize a new innovative way of discovery. Thinking through any engagement process, one that is required to break through traditional innovation processes needs to break down the new areas of discovery.
Paul Hobcraft
AUGUST 8, 2023
Within the Composable Innovation Enterprise Framework lies the core, the different innovation stacks, and the learning components. Here, I want to briefly talk about the importance of the learning components that support the innovation design and especially the different innovation stacks.
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Paul Hobcraft
NOVEMBER 21, 2023
Innovation thinking in Ecosystem and Gen AI design I believe there is a real need to construct a different innovation process. We are rapidly seeing the past of innovating simply in terms of operating on our own. Earlier this year, I proposed a different framework for the innovation process and thinking.
IdeaScale
DECEMBER 4, 2019
Innovation processes can be complex. Most companies today make innovation a priority — or at least they say they do. However, innovating is an inexact science. It’s not the same as learning how to thread a needle or take a screenshot on your Mac. So how do you know if your innovation process is working?
Paul Hobcraft
NOVEMBER 18, 2018
The belief that lean management principles will get the innovation out of the door quicker, has been one of those management adoptions that often trick us into believing we are achieving more than we actually are. Designing the complete rapid innovation application process.
Paul Hobcraft
MAY 9, 2023
Many tools, techniques, frameworks, mechanics, and emerging methodologies have allowed different parts of the innovation process to be explored and exploited. We are moving innovation along but not at a pace or design that reflects the need to connect “it ” into one comprehensive process.
Paul Hobcraft
NOVEMBER 10, 2023
It can generate new content like audio, art, and text, all by learning from a set of data without explicit instructions.” The value is the adaptive nature it can bring to the nature of the problems you need to resolve, the continuous learning and ways to incorporate AI into currently accepted innovation process principles.
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