Interview with TomTom's Massimiliano Ungheretti, PhD

Join us in an enlightening conversation from Azure Cosmos DB Conf 2024 with Massimiliano Ungheretti, PhD, a Staff Data Scientist at TomTom, as he explores the innovative uses of AI in automotive applications. Hosted by Kirill Gavrylyuk, Vice President and GM at Azure Cosmos DB, Microsoft, this discussion delves into the cutting-edge technologies that are transforming the automotive industry.

Massimiliano, affectionately known as Massi, shares insights into his work at TomTom, where he has been pivotal in advancing data machine learning across various product areas. Notably, he discusses his recent focus on generative AI, particularly in enhancing voice assistance technologies for vehicle use. This involves leveraging Azure Cosmos DB, a choice driven by its scalability, flexibility, and robust management features which are crucial for dynamic AI applications.

Learn how TomTom integrates AI with Cosmos DB to power their in-vehicle assistant, a cloud-based solution that utilizes Python SDKs for seamless interaction with the database. Massi highlights the benefits of using a NoSQL database like Cosmos DB, which allows for rapid iteration and development—a critical factor in AI-driven environments.

This interview is a must-watch for anyone interested in AI innovations, database management, or automotive technology. Discover how TomTom is not just keeping up but setting the pace in the fast-evolving realm of automotive AI.

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