Acuvate
DECEMBER 27, 2019
This goal seems achievable with massive advancements in automotive technology and big data. Today, one of the biggest use cases of big data and advanced analytics in the automobile and transport industry is to leverage data to improve the safety of vehicles and on the road. Crash Maps and Predictive Analysis.
The BMI Lab Blog
NOVEMBER 23, 2022
To start, we need to detail what a data-driven business model actually is. Therefore, data-driven business models can be understood as those models in which digitized data - in various degrees of processing - offers the central added value for customers or consumers.
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Idea to Value
MARCH 11, 2016
In 2013, I wrote a breakthrough article on the nascent examples of computers beginning to generate ideas in a way similar to human creativity. The big upcoming leaps come from research into how machines can emulate the human thought process. Big data, predictions and instant experimentation.
mjvinnovation
DECEMBER 13, 2019
Regarding public health, data recorded in the systems allows researchers to access statistics that are entered in real-time. Big Data and Cloud Computing are two technological phenomena that have gradually altered the way the healthcare market has grown and developed. trillion by 2020.
The BMI Lab Blog
DECEMBER 6, 2017
The majority of venture capital investment is in digital technologies such as big data, artificial intelligence (AI) and financial technology companies. Venture capital investments in leading technologies, 2016 (Source, PitchBook; McKinsey Global Institute Analysis). China is in most cases in the first or second position.
Corporate Innovation
JULY 4, 2015
2013 R&D spend (in US$B). While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). Connected car.
Corporate Innovation
JULY 4, 2015
2013 R&D spend (in US$B). While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). Connected car.
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