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Ravi
Chandu Ummadisetti
Generative AI Technical Architect, Product Lead
Toyota
Ravi Chandu Ummadisetti is a seasoned Generative AI Architect with over a decade of experience in AI, data science, and generative technologies. He has worked across industries such as automotive, banking, healthcare, and telecom, excelling in machine learning, deep learning, cognitive services, and data analytics. Ravi's technical expertise spans tools and platforms like AWS, Azure, Apache Spark, Python, and SQL, with a specialization in computer vision, enabling systems to interpret and analyze visual data. With a Business Analytics degree from the Indian School of Business, Ravi combines technical acumen with strategic insight, making him a versatile and impactful leader in AI innovation.
12 February 2025 15:00 - 15:30
From models to Impact: Architecting scalable and reliable GenAI systems
In this session, Toyota and Feedback Intelligence break down the most successful GenAI applications within Toyota—spanning RAG-powered search, agentic workflows, and intelligent chatbots. Learn how they tackled infrastructure, data, and compliance hurdles, the KPIs that define success, and the optimization strategies that keep these systems efficient. Key takeaways: - How Toyota scaled GenAI applications for real-world impact. - Lessons learned from infrastructure, data, and security challenges. - Metrics that matter: evaluating success beyond the model. - Strategies for maintaining efficiency and continuous improvement.