Manufacturing

ABB and IBM partner in industrial artificial intelligence solutions

Share this post:

Today at Hannover Messe 2017, ABB and IBM announced a strategic collaboration that brings together ABB’s industry leading digital offering, ABB AbilityTM, with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in utilities, industry, transport and infrastructure using artificial intelligence.

The new suite of breakthrough solutions aims to help organizations tackle some of their biggest challenges – improving quality control, reducing downtime and increasing speed and yield of industrial processes – in a completely new way. The solutions enable current connected systems that simply gather data to become cognitive industrial machines that use data to understand, sense, reason and take actions to support industrial workers.

Organizations using the solutions will benefit from 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.

Watch the video to learn more

Read the announcement: http://ibm.biz/BdifUH

Combining ABB ability and IBM Watson for superior customer value

With an installed base of 70 million connected devices, 70,000 digital control systems and 6,000 enterprise software solutions, ABB is a trusted leader in the industrial space, and has a four decade long history of creating digital solutions for customers. IBM is a leader in artificial intelligence and cognitive computing. Together, IBM and ABB will create powerful solutions for customers to benefit from the Fourth Industrial Revolution.

ABB CEO, Ulrich Spiesshofer enumerates: “This powerful combination marks truly the next level of industrial technology, moving beyond current connected systems that simply gather data, to industrial operations and machines that use data to sense, analyze, optimize and take actions that drive greater uptime, speed and yield for industrial customers.”

Cognitive advances into industrial applications

“This important collaboration with ABB will take Watson even deeper into industrial applications — from manufacturing, to utilities, to transportation and more,” said Ginni Rometty, IBM Chairman, president and CEO. “The data generated from industrial companies’ products, facilities and systems holds the promise of exponential advances in innovation, efficiency and safety. Only with Watson’s broad cognitive capabilities and our platform’s unique support for industries can this vast new resource be turned into value, with trust. We are eager to work in partnership with ABB on this new industrial era.”

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.

Real-time cognitive insights and artificial intelligence on the factory floor

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. 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.

Real-time cognitive insights to smart grids

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.

About ABB

ABB is a pioneering technology leader in electrification products, robotics and motion, industrial automation and power grids, serving customers in utilities, industry and transport & infrastructure globally. Continuing more than a 125-year history of innovation, ABB today is writing the future of industrial digitalization and driving the Energy and Fourth Industrial Revolutions. ABB operates in more than 100 countries with about 132,000 employees.

Learn more about IBM Watson IoT solutions

For more information about IBM Watson IoT solutions, please visit www.ibm.com/iot.

For more information about IBM Watson IoT for Manufacturing, please visit https://www.ibm.com/internet-of-things/iot-solutions/iot-manufacturing/

 

 

More Manufacturing stories
By Lauren Longhi on November 9, 2018

The top 5 takeaways from the Industrial IoT World conference

From October 29-30, companies from across industries gathered in Atlanta, GA for the Industrial IoT World conference to accelerate their projects “from inspiration to implementation.” As a leader in the IIoT space, IBM was invited to share its expertise. I joined IBM five months ago, and was excited to see our capabilities in person. Here […]

Continue reading

By Ashok Kumar on October 8, 2018

Are MES systems dead? How IoT and AI are transforming the shop floor

Manufacturing is changing due to advancements in the Internet of Things (IoT) and Artificial Intelligence (AI). With  consumer demand for customization driving new requirements for speed and agility, many manufacturers are struggling to keep up. On top of this, more competition and increased demand is putting higher pressure on manufacturers to increase overall plant performance.  […]

Continue reading

By Chris O'Connor on October 2, 2018

Do you have the needed data around yield, throughput, and quality to make sound operational decisions?

Here is a bold idea – your machines, your connected systems, your factories all diagnosing themselves and predicting needs before they affect production. What do you think when you read that? Are you thinking early and accurate identification of defects, improved production, optimized throughput, less waste and no product recalls? You should. Because that is what […]

Continue reading