
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.
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.
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All content in this video is current as of the date of upload.
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