Automotive Big Data Disruption Project 
Acuvate
FEBRUARY 11, 2022
The automotive industry is on the brink of significant technological disruption. and the next-gen of mobility is the rapid emergence of artificial intelligence, intelligent automation, predictive analytics, and Big Data – delivering real-time insights to enable powerful innovation and transform the way automotive companies operate.
Corporate Innovation
APRIL 25, 2017
In my book, The Big Data Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality.
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Corporate Innovation
JULY 4, 2015
Companies in the automotive value chain are faced with a challenging future. In this blog I explore what the automotive industry has been doing to address the potential disruption, analyze the effects of these initial steps, and provide recommendations on what corporations could be doing better. Volkswagen. Toyota Motors.
Corporate Innovation
JULY 4, 2015
Companies in the automotive value chain are faced with a challenging future. In this blog I explore what the automotive industry has been doing to address the potential disruption, analyze the effects of these initial steps, and provide recommendations on what corporations could be doing better. Volkswagen. Toyota Motors.
Corporate Innovation
MAY 17, 2016
The exploitation of big data that is generated by vehicles, consumers and companies across the entire automotive value chain must become a key competence of all automakers. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.
Corporate Innovation
MAY 17, 2016
The exploitation of big data that is generated by vehicles, consumers and companies across the entire automotive value chain must become a key competence of all automakers. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.
Corporate Innovation
MAY 17, 2016
The exploitation of big data that is generated by vehicles, consumers and companies across the entire automotive value chain must become a key competence of all automakers. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.
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