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Does AI Replace Human Work?

The BMI Lab Blog

The world is becoming more and more interconnected and narrow due to technology and is closely connected like a village. 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.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Some 700 million people could be displaced by intense water scarcity by 2030. Together with AI, machine learning, and big data analytics, different stakeholders can study performance insights on various resources, predict issues, and initiate rapid responses before the problem escalates and becomes costly to remediate.

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Why Mission-Critical Industries Need Custom Industrial Data Platforms

Acuvate

billion USD by 2025 , and IoT is expected to unlock the most economic potential in factories by 2030. They offer a multi-tiered approach to data management, integrating advanced analytics, artificial intelligence, machine learning, and edge computing to process, store, and analyze vast quantities of data.

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Continuing the Energy Transition Journey

Paul Hobcraft

During this past week, I have been working through specific aspects of the energy transition model. The Grid Edge includes the innovative solutions of hardware, software, and business innovation that are enabling smart infrastructure to be installed at or near the “edge” of the electric power grid. degree mark.

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Why Mission-Critical Industries Need Custom Industrial Data Platforms

Acuvate

billion USD by 2025 , and IoT is expected to unlock the most economic potential in factories by 2030. They offer a multi-tiered approach to data management, integrating advanced analytics, artificial intelligence, machine learning, and edge computing to process, store, and analyze vast quantities of data.

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

Acuvate

An IoT-based solution allows organizations to store and analyze terabytes of equipment data run and machine learning algorithms to forecast failures and hazards and predict when industrial equipment is likely to fail.​ Why IoT-based predictive maintenance in industry 4.0 billion by 2030? An analytics layer extracts insights.