Artificial intelligence (AI) is revolutionizing industries worldwide, and manufacturing is no exception. With the emergence of generative AI, a new era of predictive maintenance is emerging, where machine failures are anticipated, repair plans are generated, and personalized repair guidance is provided to achieve maintenance excellence.
For manufacturers seeking maintenance excellence, a unified data store and a developer data platform are key enablers. These tools provide the foundation for integrating AI applications that can analyze sensor data, predict failures, and optimize maintenance schedules. MongoDB Atlas is the only multi-cloud developer data platform available that is designed to streamline and speed up developers' data handling.
In this webinar, we’ll explore how you can build an end to end predictive maintenance solution using MongoDB Atlas, Langchain and Cohere. We will also show an Agentic AI demo where multiple AI agents work together in a predictive maintenance scenario.
Agenda:
- The significance of an predictive maintenance and how generative AI plays a role in maintenance excellence programs in Industry 4.0 architectures
- Introduction to MongoDB Atlas Vector Search and MongoDB AI Applications Program
- End to End predictive maintenance solution architecture
- Agentic AI for predictive maintenance
- Live Demos
- Best practices for scaling and sustaining your generative AI applications
Whether you work in OT, IT, as a developer, architect, or data scientist, this webinar promises valuable insights and actionable advice for elevating your industry 4.0 projects.