Resources

November 14, 2024

Build with MongoDB AI Applications Program: A Generative AI-Powered Predictive Maintenance Solution with MongoDB Atlas, Langchain and Cohere

11am EST | 5pm CET Join our Webinar: Build a Generative AI-Powered Predictive Maintenance Solution Unlock Predictive Maintenance Excellence with Generative AI Artificial intelligence (AI) is transforming industries globally, and manufacturing is leading the charge. Discover how generative AI is ushering in a new era of predictive maintenance / anticipating machine failures, generating repair plans, and delivering personalized guidance to ensure operational excellence. Why Attend? For manufacturers aiming for maintenance excellence, leveraging a unified data store and developer data platform is essential. MongoDB Atlas is the premier multi-cloud platform designed to simplify data handling, enabling you to integrate AI applications that analyze sensor data, predict failures, and optimize maintenance schedules. Webinar Highlights In this engaging session, you’ll learn how to build an end-to-end predictive maintenance solution using: MongoDB Atlas Langchain Cohere Experience an exclusive Agentic AI demo , showcasing how multiple AI agents collaborate in a predictive maintenance scenario. What You’ll Learn The Importance of Predictive Maintenance: How generative AI enhances maintenance excellence in Industry 4.0 architectures. Introduction to MongoDB Atlas Vector Search: Unlock powerful data insights. End-to-End Predictive Maintenance Architecture: A comprehensive overview. Agentic AI in Action: Practical applications for predictive maintenance. Live Demos: See the technology in action. Best Practices: Scaling and sustaining your generative AI applications. Who Should Attend? Whether you’re in Operations Technology (OT), Information Technology (IT), or a developer, architect, or data scientist, this webinar will provide valuable insights and actionable strategies to elevate your Industry 4.0 projects. Don’t miss this opportunity to transform your approach to predictive maintenance! You will hear from: Humza Akhtar, PhD Senior Principal, Industry Solutions at MongoDB

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November 7, 2024

RAG Beyond the Chatbot: Unlocking Enterprise Value

12 P.M. ET Retrieval-augmented generation (RAG) is transforming how enterprises leverage their data assets through AI. By combining large language models with precise information retrieval, RAG enables more accurate, context-aware AI applications. While many organizations have focused on chatbots as the primary use case, RAG's potential extends far beyond conversational interfaces. From enhancing decision support systems to automating complex document processing, RAG offers enterprises a versatile tool to address a wide range of business challenges. As companies seek to extract more value from their proprietary data and improve operational efficiency, exploring diverse RAG applications becomes increasingly crucial. Join Sam Charrington, founder of TWIML and host of the TWIML AI Podcast, Elio Naciso, CEO at Scalestack, and Richmond Alake, Staff Developer Advocate, AI/ML at MongoDB, for an insightful discussion on the evolving landscape of RAG in the enterprise. This session will unveil RAG's full potential beyond chatbots, equipping technology leaders with essential concepts and a strategic roadmap to implement high-value generative AI applications while navigating common pitfalls. In this interactive session, you'll gain practical insights into: Demystifying RAG core concepts and components Identifying and prioritizing high-value RAG opportunities within your organization Key implementation challenges and strategies to overcome them in enterprise environments The future of RAG and its potential to drive innovation and competitive advantage in your industry

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