SDV & AI in Automotive USA 2025

Leverage Innovations in SDV & AI Technologies to Innovate Vehicle Architectures, Increase Efficiency & Improve Customer Experience

September 30-October 2, 2025 - Ann Arbor, MI, United States

Artificial intelligence is drawing strong interest from all major players in the automotive industry. Whether it is a case of understanding how and where AI can be applied, to how automotive companies can benefit from cutting-edge AI technologies, the industry agrees that AI holds the potential to revolutionize products, processes and manufacturing, offering car manufacturers unprecedented opportunities to innovate and increase efficiency across the entire automotive value chain.

Software-defined vehicles present the largest shift in the automotive industry and are a stepping-stone towards fully autonomous vehicles. There is a strong desire across the automotive industry to make SDVs a reality. OEMs are moving past the theory of SDVs and towards the future re-architecture of their systems, features, and user experiences. Creating enhanced in-vehicle software and user experience are paramount, and the most crucial factors for SDV development moving forward. Additionally, the overall cost of SDV development continues to be a major concern, with OEMs under increasing pressure to reduce costs while ensuring vehicles are kept up-to-date, over-the-air updates are presenting new business opportunities, with additional revenue streams from advanced features and functionalities.

SDV & AI in Automotive USA 2025 will explore these pressing topics, offering practical insights, networking opportunities, and solutions tailored for automotive professionals. Join us in Ann Arbor, Michigan, September 30 – October 2, 2025, don’t miss your chance to stay ahead of the curve!

Preview of Key Themes at SDV & AI in Automotive USA 2025

SDV Key Themes

  • Explore different SDV architecture, where OEMs see developments going, and what challenges they perceive ahead
  • Problem-solve current software and electrical issues in vehicles, and methodologies to be considered
  • Learn how AI and new technologies are being used to develop SDVs, and optimise & streamline software development lifecycles
  • Gain insight into managing cybersecurity challenges when developing software
  • Discuss the transition towards open-source software, how it can speed up feature development, and the main challenges with current open-source solutions

AI Key Themes

  • Showcasing the use of Generative AI in prototype design & manufacturing
  • Successfully implementing AI in manufacturing to make decisions faster & expedite product deployment
  • Integrating Generative AI into your workflows to maximize efficiency across the entire automotive value chains
  • Explore Generative AI & autonomous vehicle technology
  • Explore the top 10 AI cybersecurity vulnerabilities in autonomous vehicles & how to mitigate them


The SDV USA event brought together a community of people from various companies with a common goal of defining and/or enabling the future of SW in the automotive market. The relationships made at this event will be utilized throughout the year.

VP Business Development, Compal

SDV 2024 was a well-managed and timely event - with a balanced mix of prepared presentations from practitioners, live & free-flowing open discussions and several expert panels

Principal, PG Mobility Analysis LLC

I found the information incredibly valuable. The content was thorough, and what I heard from experts in the automotive industry was very applicable, particularly from the OEMs and Tier 1s.

Major Account Executive, PTC

It was an amazing event with a unique setting to learn and share our excitement about one of the most intriguing topics these days for the Automotive community!

Product Owner of Distributed Ledger Technologies, Robert Bosch

2025 Speakers

  • Daniel Vilela, Virtual Development Engineering Group Manager, General Motors
  • Bala Paramasivan, Machine Learning Engineer, Lucid Motors
  • Arsalan Hafiz, Cloud AI Data Engineer & Strategy, Ford Motor Company
  • Anindya Saha, Machine Learning Platform Engineer, Zoox
  • Ramakrishna Vijayakumar, Product Owner-Steer by Wire, General Motors
  • Hemanth Tadepalli, Cybersecurity Compliance SME, May Mobility
  • Ahsan Qamar, Senior Engineering Manager of Systems Engineering, Embedded Platform and MBSE, Ford Motor Company
  • Sudeep Chavare, Vehicle Optimization Lead - Machine Learning, General Motors
  • Gbenga Ladapo, Data Scientist, Ford Motor Company
  • Simon Xu, Engineering Group Manager - Vehicle Optimization, Architecture Strategy, General Motors
  • Christopher Plachetka, AI Engineer/ Software Architect at ADMT by Volkswagen Commercial Vehicles, Volkswagen AG
  • Vijay Sanikal, Product Manager - Vehicle Synthetic Data, General Motors
  • Lakshmi Prasad Bhatta, Manager of CAE, Mahindra Automotive
  • Cedric Armand, Engineering Group Manager, Virtual Hardware-in-the-Loop, General Motors
  • Sampath Velupula, Principal Machine Learning Engineer, Lucid Motors
  • James Antony John, Generative AI & Innovation Leader, Nissan Motor Corporation
  • Tyson Benson, U.S Patent Council, ZF Group
  • Sadasivam Periyasamy, Principle Security and Privacy Engineer, Continental
  • Ravidev Chalanti, SOA Software Architect, Aptiv
  • Saikiran Divakaruni, Head of Engineering – Data Science & AI, ZF Group
  • Nilay Pande, Machine Leaning Engineer, Waymo
  • Jeremey Helmer, Manager - Innovation: Mobility & Transportation, State Farm Insurance
  • Claudio Fernandes, Director, Engineering, Hitachi Astemo
  • Augustin Friedel, Senior Manager Mobility Transformation, MHP - A Porsche Company
  • Sushant Potdar, Senior Software Engineer, Aptiv
  • Sneha Shetiya, Staff/ Senior Engineer, Torc Robotics
  • Beatriz Minamy, Internet of things (IoT) - Smart mobility and supply chain practice lead, S&P Global
  • Ninad Ghike, Product Manager, Aptiv
  • Florian Rohde, Managing Partner, IProcess LLC
  • Aliasghar Arab, Adjunct Assistant Professor of Robotics and AI, New York University

The full agenda is not yet available for this event.
Follow this event to receive an alert when the agenda becomes available.

Venue

Sheraton Ann Arbor Hotel
3200 Boardwalk Street, 48104
Ann Arbor, MI, USA

Telephone: +1 734-996-0600

Group Rate: $185.00 per night, excluding applicable taxes per night.

Reservation Method: Reserve your room by clicking on the reservation link below. We have reserved a selection of rooms at a discounted group rate, subject to availability; Book your group rate for IQPC SDV & AI in Automotive USA 2025

Cut-off date: Tuesday, September 2nd, 2025

(After that time, the group rate will be offered based on hotel availability only.)
Event details
Organizer :Automotive IQ
Event type :Conference
Attendance :Physical Event
Reference :ASDE-25544