Edge AI and Managing Risk in the Cloud_approved | 52.28 KB | Download | |
Preview | Charles Blackbeard, Business Development Manager, ABB Ability Digital Solutions | 229.96 KB | Download |
Preview | Industrial AI plays a major role in making process predictions | 1.86 MB | Download |
Preview | The average modern industrial plant uses less than 27% of the data it generates | 12.23 MB | Download |
The good news is that huge amounts of value can be generated by integrating information from assets (IT systems), sensors (OT systems) and design (engineering) systems. In a manufacturing environment, most of these systems are running in multiple networks/units. Even the ownership of this data varies from plant to plant and is also dependent on the user roles.
“In this context, you would need a centralised environment where you can integrate, validate, contextualize the cleaned data and make it accessible centrally – this is where the cloud presents great potential and can yield benefits,” says Charles Blackbeard, Business Development Manager, ABB Ability™ Digital.
Consolidating data and deploying via the cloud opens up a plethora of solutions and application possibilities, including business, asset and sustainability solutions, planning and logistics solutions, operation solutions, supply chain solutions, and advanced supervisory solutions. From an industrial point of view, it also empowers predictive, diagnostics and prescriptive analytics applications. This means that previously siloed information is now available across the entire enterprise.
“Concerns about security are, of course, front of mind when you increase the number of users across a system, more devices connected to the network, and more and more information being stored on the cloud,” says Blackbeard.
There are also a number of data and integration challenges when considering the deployment of cloud solutions:
There are some powerful risk mitigation strategies, however: For example, deploying edge solutions – whether there is ‘lite edge’ – for secured communication from edge to cloud, or ‘heavy edge’ – for deploying application at the source of data and for enabling distributed computing, faster response time and cost optimisation.
There are several clear benefits to this approach:
ENDS
ABB’s Process Automation business is a leader in automation, electrification and digitalization for the process and hybrid industries. We serve our customers with a broad portfolio of products, systems, and end-to-end solutions, including our # 1 distributed control system, software, and lifecycle services, industry-specific products as well as measurement and analytics, and marine offerings. As the global #2 in the market, we build on our deep domain expertise, diverse team and global footprint, and are dedicated to helping our customers increase competitiveness, improve their return on investment and run safe, smart, and sustainable operations. go.abb/processautomation
ABB (ABBN: SIX Swiss Ex) is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 105,000 talented employees in over 100 countries. www.abb.com.
For more information please contact:
Media Relations Issued by NGAGE Marketing on behalf of ABB
Ofentse Dijoe Andile Mbethe
Phone: +27 (0) 010 202 5105 +27 (0)11 867 7763
Email : Ofentse [dot] dijoe [at] za [dot] abb [dot] com Email: andile [at] ngage [dot] co [dot] za