Unlocking value from data

Issue 2/3 2023 Mining (Industry), AI & Data Analytics


Charles Blackbeard.

Today’s digital technologies create vast quantities of data, which is where opportunities for improvement lie. However, much of it goes unused. In fact, the average plant uses only 20% of the data it generates. The successful companies of the future will be those that can capitalise on this data quickly, efficiently, cost-effectively and across the enterprise through an effective data analytics strategy that encompasses site, edge and the cloud.

Data, technology and digital capability need to be brought together to build rapidly deployable analytics and AI/ML applications to increase productivity while decreasing costs and, in turn, improving sustainability and safety compliance.

Clients are afforded the opportunity to unlock the value of contextualised data through IIoT and Industrial AI. Here a prebuilt industry standards based cognitive data model can provide actionable insights to achieve operational performance, asset integrity, energy efficiency, sustainability and safety.

However, bringing together multiple data sources to assist customers to make better-informed business decisions is easier said than done. The challenge lies in finding a way to manage and analyse huge volumes of data stored within disparate networks that could be either on the premises or in the cloud. If successful, this will result in improved productivity and optimum utilisation of plants and assets, process improvements and cost-savings.

“As a global leader in integrated industrial automation with deep domain expertise, ABB has advanced analytics to help customers accelerate their operational and business performance,” says Charles Blackbeard, Business Development Manager, ABB Ability Digital Solutions.

ABB Ability Genix Industrial Analytics and AI Suite is a scalable suite consisting of an advanced analytics platform and prebuilt easy-to-use applications, coupled with ABB’s implementation expertise. The suite connects, collects, and contextualises data from operational, IT and engineering systems. It empowers clients to unlock value from their data, driving better business results.

Its modular nature means it can be structured to meet client needs, protecting existing investments while supporting seamless integration. It can be deployed from edge to fleet, plant, on premise, hybrid, cloud and multi-cloud based on the client’s roadmap. ABB also offers a range of business value applications, including system anomaly detection, opportunity loss manager and machine performance analytics.

For more information, contact ABB, Ofentse Dijoe, +27 10 202 5105, [email protected], www.abb.com/za




Share this article:
Share via emailShare via LinkedInPrint this page



Further reading:

AI for retail risk management
Surveillance Retail (Industry) AI & Data Analytics
As businesses face mounting challenges in a volatile economic environment, Ares-i remains an essential tool for proactively identifying, assessing, and mitigating risks that threaten operational stability and customer satisfaction.

Read more...
Top five AIoT trends for 2025
Hikvision South Africa IoT & Automation AI & Data Analytics Facilities & Building Management
Hikvision highlights that with technological advances, AIoT (AI-powered Internet of Things) is transforming industries not just by enhancing security, but also by making the world smarter and more efficient.

Read more...
The algorithm of trust
Information Security AI & Data Analytics
Artificial intelligence is not just enhancing threats, it is providing organisations with a smart line of agile and detectable defence.

Read more...
New AI advisor for robot selection
News & Events Industrial (Industry) AI & Data Analytics
Igus’ new AI chatbot has been added to its online platform to enable companies with little previous experience and technological expertise to quickly and reliably put together Low-Cost Automation (LCA) solutions to become more competitive.

Read more...
Federated identity orchestration
Technews Publishing SMART Security Solutions Editor's Choice Access Control & Identity Management Security Services & Risk Management AI & Data Analytics
Understanding exactly who resides at the end of a digital device is key, and simple identity number verification by the Department of Home Affairs is no longer a viable solution on its own.

Read more...
Stay safe while using AI assistants
Kaspersky Information Security News & Events AI & Data Analytics
The new DeepSeek AI assistant has attracted a lot of attention, including the interest of cybercriminals. Kaspersky experts have detected scam activity related to it.

Read more...
Only 6% of executives in Africa expect a decrease in headcount due to AI
News & Events AI & Data Analytics
Boston Consulting Group research shows 72% of African companies rank AI and/or GenAI as a top three strategic priority, while 65% of African companies surveyed are optimistic about the role of AI agents.

Read more...
Four Steps to protecting your business from the quantum threat
IoT & Automation AI & Data Analytics
While the evolution of quantum computing keeps the world at the forefront of innovation, businesses across the globe are being warned to bolster protection protocols to avoid losses through decryption.

Read more...
AI making South African roads safer
Asset Management Transport (Industry) AI & Data Analytics
Driver fatigue is a significant contributor to road accidents globally. While reliable statistics for South Africa are hard to come by, it has been estimated that fatigue is a factor in 25% - 30% of fatal crashes.

Read more...
Risk-IO manages mining security risks
Zulu Consulting Security Services & Risk Management Mining (Industry)
[Sponsored] A local mining company with three large operations experienced increased security costs. The liability included no standardised risk assessment, poor management of the efforts to mitigate hazards, and unauthorised access with subsequent theft. The reactive approach to security was not only expensive but also wasteful in the sense that the costs were poorly managed, and there were no metrics to show improvement or trends in incidents.

Read more...