ABB and IBM join hands to enhance Industrial AI solutions
ABB and IBM announced that they have join hands to unlock new capabilities to provide solutions to industrial to help them eliminate inefficient processes and redundant tasks through Artificial Intelligence.
ABB’s deep domain knowledge and extensive portfolio of digital solutions combined 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 breakthrough solutions will help companies address in a completely new way to their biggest 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 to help eliminate inefficient processes and redundant tasks.
ABB and IBM will 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. 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.
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. 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.