Video length is 1:07:47

Accelerating AI Adoption: From Design to Deployment in Mobility

Myrtle Binil Rajendrababu, MathWorks
Jayanth Balaji Avanashilingam, MathWorks
Koustubh Shirke, MathWorks
Nikita Pinto, MathWorks

AI is revolutionizing the mobility sector by enhancing vehicle capabilities, optimizing traffic systems, and supporting sustainable transportation solutions. The integration of AI technologies into mobility platforms enables advancements such as autonomous driving, real-time traffic management, and smart city infrastructure. AI-driven analytics and predictive modeling offer significant improvements including accelerated vehicle model development and sensor reductions. As AI continues to evolve, it reshapes the landscape of mobility, providing increased safety, efficiency, and adaptability.

In this session, we begin with an overview of AI’s impact on mobility, followed by an in-depth exploration of the following topics:

  • Technological foundations: Examine the core technologies enabling AI in mobility, including machine learning algorithms, sensor integration, and data-driven architectures.
  • Deployment challenges: Discuss the hurdles in deploying AI solutions, such as data privacy, ethical considerations, and regulatory compliance.
  • Deployment strategies: Explore strategies for scalable and efficient AI deployment, focusing on infrastructure, iterative testing, and cross-industry collaboration.
  • Legacy system integration: Address the transition from traditional systems to AI-enhanced architectures, highlighting modular and scalable design principles.
  • Industry and academia collaborations: Learn how industry-academia collaboration is reshaping the adoptability of AI in automotive applications.

This session provides insights into AI’s transformative potential in mobility, emphasizing design, deployment, and future innovations.

Published: 22 Dec 2024