Big Data Industry Marketing Radical Innovation 
Paul Hobcraft
MARCH 27, 2018
They point out that since 2014, only four types of innovation and that are all related to digital, have grown increasingly in importance in their pursuit by companies. So the need to innovate comes from digital as the source. It will fundamentally change the type of resources innovation requires.
Paul Hobcraft
SEPTEMBER 27, 2017
In the past week or so, I have been looking a little harder at the Chemical and Pharmaceutical Industry relating to innovation, it left me a little frustrated. I felt that warm and fuzzy feeling, as I read all too often those comforting words or platitudes of how “innovation is vital to us” and one of the “highest areas of focus.”
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Innovation 360 Group
MARCH 10, 2019
While much has been written on choosing the most promising innovation project and helping it succeed in the market after implementation, one crucial step in the middle hasn’t received enough attention: how to actually get the job done and done well. They analyzed a data collected from 2,900 companies over 52 months.
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). Ideas for innovation projects emerge from the intensive sessions. Data Analytics.
Innovation 360
OCTOBER 1, 2017
It was an interesting comment, coming from a highly skilled former senior consultant and current industry leader. Innovation and Artificial Intelligence. Nobody is predicting a slower pace for development and innovation diffusion of AI, robotics, big data, and other disruptive technology.
ITONICS
JULY 30, 2018
Disruptive technologies or innovations boost new business models that change the game of existing industries like the space industry (SpaceX), the music industry (Spotify), the film industry (Netflix) or the banking sector (FinTechs), just to name a few. The role of big data and data mining.
Harvard Business Review
APRIL 9, 2018
“If you went to bed last night as an industrial company, you’re going to wake up this morning as a software and analytics company.” We quantitatively compared different models, which led us to select the model that best described the underlying text data. Bloomberg/Getty Images. This may happen in two ways.
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