Paul Hobcraft
OCTOBER 18, 2022
.” I do think we need to restate the current barriers to innovation. 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. Enabling technology and processes.
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.
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Paul Hobcraft
SEPTEMBER 15, 2017
We go and simply ‘grab them’ to fit the innovation we are working upon. We design the innovation system we need after we know what we are trying to achieve in the challenge or idea. Can we design a totally ‘adaptive’ innovation process to fit the specific need? We “pull down” what is needed.
Paul Hobcraft
MAY 26, 2017
We have never ‘cracked’ the full innovation management system. Many of those innovation tools that have been emerging in recent years have now built up a powerful body of validation, and they become necessary to know and practice yet often miss the basic building block needs of innovation.
eZassi
AUGUST 29, 2023
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. We then help evaluate, facilitate, and incentivize the key ideas formed by your solver ecosystem as part of the overall innovation process.
The Inovo Group
NOVEMBER 8, 2017
To address this inherent uncertainty, it is useful to have a framework and model of the innovation system which defines the structural and operational components of the system as well as operational outcomes. The task of developing good innovation metrics [1] is complicated. The Problem with Measuring Innovation.
Paul Hobcraft
JUNE 3, 2019
Our innovation insights are badly lagging, with the effect being the solutions offered are not ‘tuned’ into the present and anticipated needs, as they often lack dynamic data. We need to digitize our innovation activities fully. This is where algorithms have increased value.
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