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How Artificial Intelligence Can Create Real Value for your Business

Daniel Burrus

Whether we ask Amazon’s Alexa to play our favorite song or shout “Hey, Google” before asking the device a question to help our child with their homework, artificial intelligence (A.I.) In past articles, I have identified the implementation of artificial intelligence (A.I.) A Truly Disruptive Hard Trend.

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5 Digital Transformation Use Cases in the Automotive Industry

Acuvate

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.

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Examples of Businesses navigating complexity by fostering Ecosystems.

Paul Hobcraft

The company has embraced a culture of continuous learning, innovation, and adaptability, focusing on cloud services, artificial intelligence, and open collaboration to reduce complexity. The company continually explores new business models, invests in emerging technologies, and adapts operations to changing market dynamics.

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Being Anticipatory Ensures your Place in a Digital World

Daniel Burrus

Technology and the disruptions it causes are a Hard Trend future certainty , in that it will continue to upend industry after industry without prejudice. In other words, many fear that robotics and artificial intelligence (A.I.) Is Prominently Disrupting Business Processes. and edge computing. and edge computing.

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. We read about the progress automakers and their suppliers are making along the first four dimensions.

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. We read about the progress automakers and their suppliers are making along the first four dimensions.

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Adjusting to a changing world

Paul Hobcraft

I am not sure many of you feel the same, tt seems disruption is in everything, in what we need to undertake, in what is coming towards us in change. We have Artificial Intelligence increasingly working, either in the background or foreground for decision-making. Manufacturing is connecting up through its Industry 4.0

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