Agile Artificial Inteligence Big Data Open Innovation 
Paul Hobcraft
MAY 9, 2023
The tool and techniques that stand out for me, in their contribution, value and my use have been, in no specific order, cover the jobs-to-be-done , ten types of innovation, crossing the chasm , blue ocean, business model canvas and value proposition canvas, building core competencies , lean start-up, agile and design sprints.
mjvinnovation
MARCH 11, 2020
But it is not immune to changes that may require a fresh look at today’s existing business models. To win over 100% of their digital consumers, companies must become increasingly agile and innovative. Let’s design an action plan for your company to adopt the best tech-innovation solutions? The Action Plan.
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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. All frameworks (Agile, Lean, CPS, Design Thinking, Stage-Gate) require people to come up with fresh ideas, and MoshPit has a new and better way to do that.
Paul Hobcraft
SEPTEMBER 27, 2017
Yet, lying within the walls of these large Pharmaceutical and Chemical companies is such a rich dataset that stays behind their ‘closed’ walls. Big Data, Artificial Intelligence, Analytics and Algorithms beckon hugely. How do we specifically look to build our digital talent and our need for a more open culture?
mjvinnovation
APRIL 25, 2019
The strength of this wave lies in the use of emerging technologies such as Big Data and Artificial Intelligence to optimize the consumer experience and fill gaps in the financial system. Also the big techs, tech giants, are eyeing the financial industry and dare threaten the banks’ hegemony.
Steve Blank
JUNE 23, 2016
Their most profitable segment is very high-end processors used in data centers in servers and the cloud. Today that’s built on the premise that an x86 architecture is the one best suited for big data. They’re better than large companies at identifying customer needs/problems and finding product/market fit by pivoting rapidly.
Paul Hobcraft
FEBRUARY 18, 2019
Investments in data analytics (69 percent) and cloud computing (62 percent) are already well advanced, with another 26 percent of firms expecting to invest in data analytics in the next two years and 29 percent in cloud computing. Innovation today is about multiples of combinations, not one rigid innovation approaches.
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