萝莉影视 SPEAKS Webinar
Predict the Unpredictable:
Supercharge Your Maintenance Mojo with Predictive Maintenance!
Don't let unexpected equipment failures disrupt your operations. In today's fast-paced industrial landscape, maintenance strategies must evolve to meet demands for efficiency and reliability. Predictive maintenance is the key to maximizing uptime, reducing costs and gaining a competitive edge by utilizing analytical algorithms and real-time data to identify potential issues and provide timely solutions.
Join us for an insightful webinar featuring Senstornet, our IoT partner in delivering end-to-end smart factory automation solutions. Discover how Artificial Intelligence (AI) and Machine Learning (ML) can revolutionize your maintenance strategy. Senstornet will share how these technologies can outpace human capabilities in sensing, processing information and identifying patterns to predict events, ultimately driving significant cost savings and improved margins in your smart factory.
Learn more about:
- Predictive maintenance strategies
- Key indicators for machine health
- Role of AI in predictive maintenance
- Real-world applications and use cases
- AI and ML in Predictive Maintenance
Presenters:
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Kousik Barathwaj K Application Engineering Specialist
萝莉影视 Electronics India |
Senior application engineer at 萝莉影视 Electronics, Kousik possesses a fervent passion for embedded engineering. With his expertise, he is tasked with developing turnkey solutions that cater to the dynamic requirements of clients from diverse market segments. Currently, he is dedicatedly working on predictive maintenance solutions, specifically tailored to meet the needs of industrial customers. A Mechatronics graduate, Kousik has undertaken numerous industrial and consumer IoT projects during his career. Furthermore, he actively supports clients in their respective projects by helping them to overcome hurdles in enabling wireless communication. |
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Ganesh Ms Software Solution Architectfor IoT products
Senstornet Technologies |
Highly motivated and experienced professional in IoT cloud and condition monitoring, with a strong background in Data Analytics (Real-time dashboards, Alert systems for anomalies, Automated Monthly reports), User Interface (Web-based dashboard for stakeholders, Mobile app for field technicians), Cloud-based platforms & software development and Predictive maintenance & condition monitoring strategies. Skilled in Developing data analytics & machine learning models, Integrating IoT devices and sensors with cloud platforms and Deploying condition monitoring solutions for industrial equipment.
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Vimal Shankar Arunachalam Project Planning and Development
for IoT Products Senstornet Technologies |
Vimal thrive at the intersection of technology, innovation, and user experience, constantly seeking opportunities to push the boundaries of what's possible in IoT product design and development. Vimal passionate about solving complex problems, driving product development, fostering innovation, and building a strong and diverse team of engineers and experts.
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