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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics. Process Optimization With the help of AI, ML, and Big Data, production processes may be optimized, leading to greater efficiency with less cost.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics. Process Optimization With the help of AI, ML, and Big Data, production processes may be optimized, leading to greater efficiency with less cost.

Data 52
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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. But I think that the problem runs deeper. For example, GM stopped producing its electric vehicle EV1 in 1999 (and here ). Connected car. Connected car. Autonomous car.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. But I think that the problem runs deeper. For example, GM stopped producing its electric vehicle EV1 in 1999 (and here ). Connected car. Connected car. Autonomous car.

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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

Business, government and education have moved cybersecurity from an underfunded back-office activity to a major initiative going forward. 3 Big Data and the Use of High-Speed Data Analytics. Separating good data from bad data will also become a rapidly growing service. #4

Trends 0
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Applications of Artificial Intelligence (AI) in business

hackerearth

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Manufacturing.