2017 Agile Big Data Software Review 
ITONICS
MAY 14, 2018
Large corporations have taken steps towards being more agile and adapting to the rapid pace of digitization by improving their oftentimes long innovation processes and giving more autonomy to employees. Another big business, Daimler Financial Services , invested several million dollars to run a Startup Intelligence Center (SIC).
Linda Bernardi
JULY 24, 2017
It is due to the confluence of six factors: 1. Mega Data 2. Culture of Agility There has never been a more exciting time for artificial intelligence in enterprises. The reasons are discussed in detail in my upcoming book, The Inversion Factor (MIT Press, October 2017), but I will unpack some of them here. Focused AI 4.
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Paul Hobcraft
DECEMBER 2, 2016
So if there was ever a time to clear the existing innovation agenda and rework the entire space for innovating, it is about to become the pressing reality as we enter into 2017. As we learn the value and power of these tools we become more fluid, more flexible and agile but equally more influenced. The Merging Conditions and Forces.
Qmarkets
JUNE 16, 2017
While cars have become increasingly more computerized, they are still relatively unintelligent, inefficient, and rarely connected to the Internet with no unifying platform that allows third party software to be run. On the 6 th of July Qmarkets will host leaders from a variety of organizations at the Munich Automotive Innovation Day 2017.
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