The Role of AI in Enhancing Production and Operational Efficiency

Webinar details

AI-powered systems are transforming industries through predictive maintenance, quality control, and supply chain optimization. By analyzing machine data in real-time, predictive maintenance enables the early detection of potential failures, minimizing downtime, reducing maintenance costs, and preventing unexpected disruptions. In quality control, AI algorithms identify defects and inconsistencies in products, ensuring consistent standards and protecting brand reputation while enhancing customer satisfaction. Additionally, AI optimizes supply chains by improving demand forecasting, managing inventory levels, and streamlining logistics operations, resulting in cost savings, faster deliveries, and superior customer service.

• The webinar will be recorded and will be sent out to registered attendees afterwards.
• A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
• Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.

Key takeaways from this webinar

• Predictive maintenance powered by AI reduces downtime, lowers maintenance costs, and prevents unexpected disruptions.
• AI-driven quality control ensures consistent product standards, protects brand reputation, and enhances customer satisfaction.
• Supply chain optimization with AI improves demand forecasting, streamlines logistics, and reduces costs for faster, more efficient deliveries.

Related courses

This webinar/topic relates to our school of Industrial Automation Engineering and is particularly found in the following courses:

• Professional Certificate of Competency in Digital Twins and Simulation Monitoring
• 52886WA Advanced Diploma of Industrial Automation Engineering
• 52872WA Advanced Diploma of Robotics and Mechatronics Engineering
• Online – Bachelor of Science (Industrial Automation Engineering)
• Graduate Certificate in Industrial Automation and Machine Learning
• 52914WA Graduate Certificate in Mechatronics
• Online – Master of Engineering (Industrial Automation)

To learn more about tuition fees, please click here.

About the presenter

Sourabh Dani, EIT Lecturer

Dr. Sourabh Dani holds a Ph.D. in Machine Learning and Cloud Computing, specializing in applications within Industry 4.0. With a strong academic background, Dr. Dani has conducted extensive research on integrating advanced machine-learning techniques and cloud-based solutions to enhance industrial processes and automation. His work has significantly contributed to the development of intelligent systems that improve efficiency, productivity, and sustainability in manufacturing and other industrial sectors.

In addition to his academic achievements, Dr. Dani has accumulated valuable professional experience in the tech industry. He has worked with leading companies to implement cutting-edge machine learning models and cloud infrastructure, driving innovation and digital transformation. His expertise in Industry 4.0 technologies has positioned him as a thought leader in the field, frequently presenting at conferences and contributing to scholarly publications. Dr. Sourabh Dani is dedicated to advancing the frontiers of technology and its application in modern industry.