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Why Mission-Critical Industries Need Custom Industrial Data Platforms

Acuvate

The global Internet of Things (IoT) market in energy alone is expected to hit 35.2 billion USD by 2025 , and IoT is expected to unlock the most economic potential in factories by 2030. They are designed from the ground up with the industry’s particular data sources, security needs, and decision-making processes in mind.

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Understanding the Innovation Landscape needed for Enabling Technologies in the World’s Energy Transition

Paul Hobcraft

Internet of Things. The period 2020 to 2030 is absolutely critical for investments not just to be pledged but effectively deployed on the ground in the physical solutions and effective operation needed to make this energy transition required on track to reach the climate goals. Behind-the-meter batteries. Blockchain.

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Innovate or Die: Bold Action, Connected Minds, and a Leadership Team with Vision

eZassi

Zerox – Struggling to compete with business document printing in past markets, its R&D today focuses on The Internet of Things (IoT) and 3D printing advancements in additive manufacturing. How do executives plan strategically for 2030 when 85 percent of the jobs that will exist haven’t even been invented yet?

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Does AI Replace Human Work?

The BMI Lab Blog

The internet of things (IoT) is moving towards an economy of things in which products, processes, machines and algorithms act autonomously to satisfy customers, produce goods and services and create business value. Statista figures based on 2018 to 2030 forecasts, by segment (in billion U.S.

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yet2 Insights: The Future of IoT

Yet2

The Internet of Things (IoT) has exploded into the tech world over the past decade. By 2030 we are expected to have more than 100 billion devices uploading and responding to real time data collection. We are essentially creating and automating the internet’s sensory organs; processing capabilities will have to expand to keep up.

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IoT-based Predictive Maintenance in Industry 4.0: The Way Forward

Acuvate

How IoT addresses fleet management challenges Predictive maintenance processes involve condition monitoring through real-time data, which is made possible with the Industrial Internet of Things ( IIoT ). billion by 2030? And machine learning algorithms are used to train the platform to identify errors of all types.

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10 Most Popular Tech Scouting Questions Answered

PlanBox Innovation

A tried-and-true approach is to design discovery sessions that leverage the 4 lenses of innovation. For example, try to conceptualize how you can expand into new markets using machine learning, artificial intelligence, etc. This allows you to explore new possibilities that you otherwise would not have considered. Ludwig Melik.