Agile Big Data Innovation Processes Open Innovation 
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
SEPTEMBER 15, 2017
In my opinion, it needs to be based on the thinking around the shift from products to solutions, from transactions to building far more value-adding ongoing relationships, from a supplier of product services into highly valued network partnerships, exploring innovation across all options. We “pull down” what is needed.
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mjvinnovation
JUNE 14, 2019
When we think of Open Innovation, it is tempting to associate it with the opposite of Closed Innovation, the traditional one, generated by our own efforts in organizations, without the aid of external entities and agents. What is Open Innovation? MJV Innovation Lab. Do not follow this path. Check out below.
Paul Hobcraft
MAY 6, 2018
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. In my view, we must go way beyond “open innovation” as we practice it today. Where is innovation within this? We need to design our systems to be highly agile.
Paul Hobcraft
SEPTEMBER 27, 2017
They are not yet at the point of being digitally effective to turn what they have into real competitive advantage as they lack the capabilities in big data analysis and those algorithms that reveal ground-breaking innovations, Are they hanging on in the belief they will become digitally transformed eventually or just deluding themselves?
Gregg Fraley
AUGUST 1, 2018
This shaping of vague ideas into resource-worthy innovation projects is the final step of the MoshPit process. MoshPit integrates well with other innovation frameworks and methods. Digital tech examined as part of the Digital MoshPit process: Blockchain. Data Analytics. Artificial Intelligence. Augmented Reality.
Gregg Fraley
DECEMBER 11, 2017
Why is this challenge so different from previous innovation challenges? AI, Analytics, IoT, Big Data, Cloud, Mobile, Social Media, Sensors, Robotics, Augmented Reality, Voice Recognition… and the list goes on. Don’t be held back by a restrictive innovation process model; be flexible on new ways to innovate.
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