Agile Big Data Design Open Innovation 
Paul Hobcraft
MAY 9, 2023
” With the argument, we need to change the innovation narrative and significantly update the innovation approach and processes to meet today’s and tomorrow’s business challenges. To look forward, I would argue we always need to look back and account for the progress made in managing innovation over the years.
Paul Hobcraft
SEPTEMBER 15, 2017
I have argued in the past that innovation management needs to radically adjust and needs to be designed differently, it needs to be highly adaptive. I’d like to offer some views, partly looking out to the future, partly considering what is potentially within our grasp, if we step back and rethink innovation design.
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Paul Hobcraft
MAY 6, 2018
Thinking in different horizons prompts you to go beyond the usual focus of fixing innovation just in the present it provides the connections of the present with the desired future. I recently applied the three horizons thinking to ‘frame’ a new innovation design.
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. Resource Scarcity.
Gregg Fraley
AUGUST 1, 2018
Discover Ideas for Long Term and Tactical Innovation Projects. Chicago, IL, August 1, 2018 — The MoshPit Innovation Service is an innovation project discovery service marketed by GFi (Gregg Fraley Innovation). MoshPit integrates well with other innovation frameworks and methods. Data Analytics.
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
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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