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Industry 4.0: How to guide organizational change

mjvinnovation

refers to the phenomenon of adopting innovative tools, resources and technological services to optimize the management of the most varied industrial aspects. a cultural transformation. announces a series of social, political, cultural and economic upheavals that will unfold in the 21st century. Industry 4.0: Industry 4.0:

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A new value chain for next-generation mobility

Corporate Innovation

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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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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Are You Deploying AI Strategically?

Innovation 360 Group

By AI, these leaders are really referring to a collection of related technologies, including machine learning, decision support, process automation, natural language processing (NLP), virtual service agents, chatbots, deep learning, image analytics, big data visualizations, biometrics, cyberdefence and pattern recognition. .

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The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.