ABB and IBM have announced a strategic collaboration that brings together ABB’s industry-leading digital offering, ABB Ability, with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in industry, utilities and transport & infrastructure.
The partnership puts ABB’s deep domain knowledge and extensive portfolio of digital solutions together with IBM’s expertise in artificial intelligence and machine learning as well as different industry verticals. The first two joint industry solutions powered by ABB Ability and Watson will bring real-time cognitive insights to the factory floor and smart grids.
The new suite of solutions developed by ABB and IBM are designed to help companies address in a completely new way industrial challenges such as improving quality control, reducing downtime and increasing speed and yield of industrial processes. These solutions will move beyond current connected systems that simply gather data, to cognitive industrial machines that use data to understand, sense, reason and take actions supporting industrial workers to help eliminate inefficient processes and redundant tasks.
For example, ABB and IBM plan to leverage Watson’s artificial intelligence to help find defects via real-time production images that are captured through an ABB system, and then analyzed using IBM Watson IoT for Manufacturing. Previously, these inspections were done manually, which was often a slow and error-prone process. By bringing the power of Watson's real time cognitive insights directly to the shop floor in combination with ABB’s industrial automation technology, companies will be better equipped to increase the volume flowing through their production lines while improving accuracy and consistency. As parts flow through the manufacturing process, the solution will alert the manufacturer to critical faults – not visible to the human eye – in the quality of assembly. This enables fast intervention from quality control experts. Easier identification of defects impacts all goods on the production line, and helps improve a company’s competitiveness while helping avoid costly recalls and reputational damage.
In another example, ABB and IBM will apply Watson’s capabilities to predict supply patterns in electricity generation and demand from historical and weather data, to help utilities optimize the operation and maintenance of today’s smart grids, which are facing the increased complexity created by the new balance of conventional as well as renewable power sources. Forecasts of temperature, sunshine and wind speed will be used to predict consumption demand, which will help utilities determine optimal load management as well as real-time pricing.
ABB and IBM's complete joint news release on the partnership is here; IBM supplements the release with a blog post, here.
Related Glossary Terms
- quality assurance ( quality control)
quality assurance ( quality control)
Terms denoting a formal program for monitoring product quality. The denotations are the same, but QC typically connotes a more traditional postmachining inspection system, while QA implies a more comprehensive approach, with emphasis on “total quality,” broad quality principles, statistical process control and other statistical methods.
Author
Michael Anderson, former senior editor at Cutting Tool Engineering magazine, holds a master's degree in written communication from Eastern Michigan University. He has been professionally writing about manufacturing technology since 1998, including more than 10 years at the Society of Manufacturing Engineers.
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