INSTRUMENTATION • ELECTRONICS
the intent to invest 44% of their budget on AI technologies like predictive maintenance and machine learning. “Having visibility across multiple
sites and operations is now critical for c-suite executives – to inform smarter planning, to share inventory and ultimately to help them make group level decisions that really move the needle on key cost drivers,” Malhotra adds. “Is AI driving urgency in many of these conversations? Absolutely.”
OVERCOMING ADOPTION CHALLENGES Over the past 75 years, Fluke Reliability has helped reliability and maintenance teams to optimise their asset performance with a range of powerful tools, software and services. The company’s Azima DLI brand – acquired by Fluke in 2023 - enables engineers to maximise uptime and demonstrate ROI with vibration monitoring, advanced AI analysis and enterprise reporting. The Azima DLI Diagnostic engine has been trained on 30 years of data and draws from 100 trillion data points across 50 machinery component types, off ering a vast wealth of crucial information to maintenance and reliability
A third of manufacturers currently have Industry 5.0 projects underway
engineers. Together with Fluke’s eMaint asset management software and Prüftechnik condition monitoring and alignment devices, Azima DLI’s AI-powered machine health analysis off ers engineers a comprehensive platform for implementing an eff ective predictive maintenance strategy. “Manufacturing faces many
challenges such as supply chain disruption, skilled labour shortages, sustainability, net zero goals, lack of standardisation and so on,” says Malhotra. “But I also think we’re at a unique time in our industry where the opportunities are even greater with all the technologies available, from
Industry 5.0 to predictive maintenance and AI. The message we’re saying to customers is to start small and then scale, demystify AI with training, and make sure that we can be a partner to help our customers on this journey. That’s why we’ve put together these solutions. Our vision is to simplify technology, and make things easy for our customers to understand and implement.”
For more information visit: https://reliability.fl
uke.com
Time to Implement Digital Technologies months 11
to complete their current AI technology goals.
20
www.engineerlive.com months 10
to complete their current Industry 5.0 goals.
Timeline for respondents to implement digital technologies months 10
to complete their current smart manufacturing technology goals.
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