Manufacturing companies can make use of deep reinforcement learning, a type ML solution enabling the robots to teach themselves new skills swiftly and efficiently, without the need for definite and complicated programming.

FREMONT, CA: Businesses today are looking at several Artificial Intelligence (AI) solutions in the market to strike a better balance between customer satisfaction and operational competence. One will increasingly come across AI as firms of all types are discovering ways to employ it in industrial, service and retail operations.

Below are a few ways how businesses, entrepreneurs, and engineers have incorporated Machine Learning (ML)–an application of AI, which gives machines the aptitude to learn from experience devoid of being explicitly programmed to do so– into the manufacturing process.

Enhancing the Process

Up until now, manufacturers have been able to set up AI into three phases of the business: production, operational procedures, and post-production. One manufacturing company is making use of deep reinforcement learning, a type ML solution enabling the robots to teach themselves new skills swiftly and efficiently, without the need for definite and complicated programming.

These robots enhance their performance on complex tasks like picking up small objects that usually require programmers to spend hours compiling accurate and complex instructions. They do so by filming themselves and uploading the video footage into a deep learning system. This system then analyzes the information to find out which approach and action contribute the most to a thriving outcome. As a result, this analysis enables machines to attain an advanced level of performance more promptly and resourcefully.

Augmenting the Outcome

Meanwhile, AI, not only impacts production and products, but it also allows manufacturers to develop the relationships they have with their clients beyond the point of sale. One company that has effectively integrated machine learning into its catalog is a manufacturer of power-generating equipment, comprising generators, prime and standby systems.

The firm teamed up with a software giant to build a remote monitoring system that gathers data from the business’s products across the world. This system provides excellent visibility into how the tools are performing and allow refueling and performance maintenance at a precise time to maximize uptime.

See also: Top Artificial Intelligence Companies