Leveraging data and technology by infusing virtual digital assistance

SPEAKERS

Arnold Martin Director, Process Control Technology, Air Liquide

ABOUT THE SESSION

Arnold Martin, Director of Process Control Technology at Air Liquide, is a seasoned technology leader with deep expertise in process control, control systems design, and industrial IT, with a strong track record in the industrial gas, biotechnology, and specialty chemicals sectors. He leads teams focused on implementing sustainable control system design standards, managing DCS upgrades, integrating smart instrumentation using HART technology, and optimizing operations through advanced process control and intelligent control room design. With a strategic focus on innovation and supplier collaboration, Arnold ensures that technology development aligns with evolving industry needs. He is all set to share his views on leveraging data and technology by infusing virtual digital assistance to enhance operational efficiency, asset management, and decision-making in industrial environments.

He will delve into how data analysis can transform maintenance strategies from reactive to predictive, enabling organizations to identify patterns, detect anomalies, and forecast equipment failures with greater accuracy. By implementing predictive maintenance frameworks, companies can extend asset life, reduce repair frequency, and avoid costly operational disruptions. He will also emphasize the importance of utilizing advanced technologies—such as IoT sensors, cloud-based platforms, and machine learning algorithms—to collect, organize, and interpret vast amounts of operational data, making it accessible and meaningful for engineers, operators, and executives alike. Furthermore, he will demonstrate how these innovations not only empower decision-makers with real-time insights but also create a strategic edge by reducing overall maintenance costs, improving safety, and minimizing downtime, ultimately boosting productivity and profitability across industrial operations.

Key Topics

1. He will share his views on Applying data analysis for predictive maintenance

2. Utilising technology to organize data and empower decision makers

3. Gaining competitive advantage by lowering maintenance costs and minimizing downtime

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