Agile Big Data Learning Open Innovation 
Paul Hobcraft
MAY 7, 2024
So, it covers a twenty-five-year period but recognizes that the last five years have seen a very different set of innovation accelerants. The second post , coming next, focuses on how organizations have become more collaborative, open and agile and deal with ideation and what tools and technologies seem to have emerged as the leading ones.
Paul Hobcraft
MAY 9, 2023
We are moving innovation along but not at a pace or design that reflects the need to connect “it ” into one comprehensive process. Agile Development : This approach involves having a flexible and iterative development process, where cross-functional teams work together to deliver software or products in short iterations.
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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. It adjusts and you learn.
mjvinnovation
MARCH 11, 2020
To win over 100% of their digital consumers, companies must become increasingly agile and innovative. Their analytical power comes from using Big Data and Machine Learning to design the best scenarios, manage risk, and elevate decision making to the next level of efficiency. The Action Plan.
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.
eZassi
MARCH 28, 2019
Consulting to create an open innovation structure. Traditionally, companies were tight-lipped about their innovation projects, but the information age has popularized open innovation. Under this model, companies are transparent about their technology and open it to outside sources for input. And much more!
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?
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