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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. What is renewable energy? trillion in 2023. trillion in 2023.

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Examples and uses of GIS

IBM Big Data Hub

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management. ” can be answered by geospatial data and GIS.

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The Evolving Cybersecurity Threats to Critical National Infrastructure

Thales Cloud Protection & Licensing

The 2023 Thales Data Threat Report Critical Infrastructure Edition , which includes responses from 365 security leaders and practitioners within critical infrastructure organizations, serves as a fine reminder of the requirement to embed security into the culture of every organization and individual.

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5G use cases that are transforming the world

IBM Big Data Hub

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

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Connected products at the edge

IBM Big Data Hub

There are many overlapping business usage scenarios involving both the disciplines of the Internet of Things (IoT) and edge computing. This use case involves devices and equipment embedded with sensors, software and connectivity that exchange data with other products, operators or environments in real-time. and energy and utilities.

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The future of 5G: What to expect from this transformational technology

IBM Big Data Hub

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. This is largely due to its ability to move large volumes of data swiftly and securely between connected devices at speeds never achieved before.

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10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. And the increasing adoption of technologies like artificial intelligence (AI), machine learning and IoT will only further enhance the capabilities of digital twins. The use of digital twins is one such innovation.