article thumbnail

Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

This is where harnessing artificial intelligence (AI) and data analytics can help. To assist utility companies, IBM has created the Clean Electrification Maturity Model (CEMM) in conjunction with the American Productivity & Quality Center (APQC). The latter can also help drive efficiency by lowering end-user energy use.

article thumbnail

Digital twins reimagined at scale for energy and resources 

OpenText Information Management

1 The ratio between man and machine All industries use machines, yet the energy and resources sector including utilities , oil and gas , chemicals , and metals & mining industries is the most capital intensive. trillion of annual capital investment is made in the energy industry today and by some estimates will grow to $9.2

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The advantages and disadvantages of renewable energy

IBM Big Data Hub

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. Air Force base planning an advanced, utility-scale geothermal power system. Let’s take a look at both.

article thumbnail

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.

article thumbnail

Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

Generative AI and digital twin use cases in asset-intensive industries Various use cases come into reality when you leverage generative AI for digital twin technologies in an asset-intensive industry such as energy and utilities. Consider some of the examples of use cases from our clients in the industry: Visual insights.

article thumbnail

The different types of renewable energy 

IBM Big Data Hub

Renewable energy , also known as clean energy, is produced from natural resources that are generated and replenished faster than they are consumed—such as the sun, water and wind. Most renewable energy sources produce zero carbon emissions and minimal air pollutants.

article thumbnail

MY TAKE: The role of semiconductors in bringing the ‘Internet of Everything’ into full fruition

The Last Watchdog

Our reliance on artificially intelligent software is deepening, signaling an era, just ahead, of great leaps forward for humankind. Energy at the edges. How microcontrollers distribute energy is a very big deal. This would lead to an optimum blending of private and public sources of energy.