AI Articles and Reports in Heavy industry

Explore articles and reports related to artificial intelligence in heavy industry, including coverage of manufacturing, utilities, mining, and more.

How Machines and Robots Learn – the Progression of AI

How Robots Learn – an Interview with Jürgen Schmidhuber

This week, we speak with arguably one of the best-known folks in the domain of neural networks: Jurgen Schmidhuber. He's working on a lot of different applications now in heavy industry, self-driving cars, and other spaces.

Artificial Intelligence In Industrial Automation – Current Applications

Artificial Intelligence In Industrial Automation – Current Applications

Accenture forecast the Industrial Internet of Things could contribute $10 trillion to the global economy by 2030. The report also suggested that sensors, material tracking mechanisms, 3D printing, automated product design, robotics, and wearables could help manufacturers reduce costs and increase productivity. Predictive asset maintenance could potentially reduce equipment and machinery maintenance costs by up to 30% and result in up to 70% fewer breakdowns.

Predictive Analytics in the Oil and Gas Industry - Current Applications

Predictive Analytics in the Oil and Gas Industry – Current Applications

McKinsey reported that most oil and gas operators have not maximized the production potential of their assets. A typical offshore platform, according to the 2017 report, runs at about 77% of its maximum production potential. Industry-wide, the shortfall comes to about 10 million barrels per day, or $200 billion in annual revenue.

AI for Predictive Maintenance Applications in Industry - Examining 5 Use Cases

AI for Predictive Maintenance Applications in Industry – Examining 5 Use Cases

With the entrance of artificial intelligence and its capabilities of recognizing temperature, vibration, and other factors from sensors pre-built into machinery and vehicles, business leaders in heavy industry might be interested in the possible opportunities of predictive and preventative maintenance applications.

in Investment Management and Asset Management 950×540

Machine Learning in Investment Management and Asset Management – Current Applications

Asset and wealth management firms are exploring potential AI solutions for improving their investment decisions, and making use of their troves of historical data. Asset management for digital assets (like an investment portfolio) or distributed industrial assets (like factory machinery or a fleet of transportation trucks) are applications where voluminous data about the assets (like the historical performance of a particular fund or the historical maintenance data for a fleet of trucks) is already being recorded - making them ripe for automation through AI.

Artificial Intelligence in the Textile Industry - Current and Future Applications

Artificial Intelligence in the Textile Industry – Current and Future Applications

Garment and textile manufacturing have historically been labor-intensive industries, as seen in how many of world’s largest fashion, clothing and apparel brands seem to have a significant portion of their products manufactured in Asian countries such as China, India, Bangladesh, Vietnam, etc.

Artificial Intelligence in Supply Chain Management - Current Possibilities and Applications

Artificial Intelligence in Supply Chain Management – Current Possibilities and Applications

Supply chain management (SCM) is critical in almost every industry today - but it hasn't received as much focus from AI startups and vendor companies compared to healthcare, finance, and retail. Businesses are showing increased interest in AI applications, from its benefits to fully leveraging the vast amounts of data collected by industrial logistics, warehousing and transportation systems.

Industrial AI Applications - How Time Series and Sensor Data Improve Processes

Industrial AI Applications – How Time Series and Sensor Data Improve Processes

Over the past decade, the industrial sector has seen major advancements in automation and robotics applications. Automation in both continuous process and discrete manufacturing, as well as the use of robots for repetitive tasks are both relatively standard in most large manufacturing operations (this is especially true in industries like automotive and electronics).

Heavy industry

Explore articles and reports related to artificial intelligence in heavy industry, including coverage of manufacturing, utilities, mining, and more.