INTRODUCE YOURSELF TO THE PERSONS ON YOUR LEFT & RIGHT, TELL THEM WHY YOU’RE HERE TODAY!

MAKE THE GREATEST IMPACT ON R&D, VEHICLE/PRODUCT DESIGN AND DEVELOPMENT, PROCESS AUTOMATION & COST EFFICIENCY

Generative AI technology is disrupting the way vehicles are designed, manufactured, and experienced. There are ongoing talks and initiatives to break into and develop generative AI, a lot of bottom-up innovation taking place, and investment in the space is rising as new projects kick off.

This opening keynote will set the tone for the Generative AI for Automotive USA 2024 conference, and share insight into ways in which GenAI technology is empowering automotive companies to optimize product, process and people efficiencies with generative AI and reduce cost in new ways.

• Understand the difference between this new paradigm of Generative AI vs. what was previously possible with machine learning, and why is it more powerful than before.
• Understand where within the automotive industry can Generative AI fit in and improve results, performance, and impact.
• Find out which automotive applications and business areas will see the greatest benefit from Gen AI and where the greatest impact will be seen.
• Understand what type of training and skills is required to empower teams to use LLMs and GenAI models.

Lobna Karoui

Senior Director, Product Intelligence
Stellantis

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EXPERT PANEL ADDRESSING RISKS & CONCERNS OF GENAI FOR AUTOMOTIVE APPLICATIONS

Generative AI has the potential to revolutionize the way automotive companies operate, but it also poses known and unknown risks, including regulatory, ethical, privacy, and security concerns that need to be carefully managed.

• This panel of experts will delve into where we are at in terms of what we know about known risks, regulations, governance, and data concerns legislation, and how best to adopt AI into the enterprise.

Aliasghar Arab

Research Professor - AI & Robotics
New York University

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GENAI TECHNOLOGY PROVIDER PRESENTATION

R&D USE CASE PRESENTATION & SUBSEQUENT PANEL DISCUSSION

• Learn how to establish a clear vision and a systematic approach for GenAI use in R&D.
• Learn how to use GenAI to automate reporting, generate documentation and scenario-based simulation.
• Hear Generative-design use cases to improve R&D processes by 10-20%.

VEHICLE DESIGN USE CASE PRESENTATION & SUBSEQUENT PANEL DISCUSSION

• Find out how an AI model was built that can incorporate precise engineering constraint to maximize the performance of future cars.
• Learn how to create digital prototypes of vehicles that are put through simulated real-world tests, enabling engineers to identify potential flaws early in the development process.
• Understand the application of GenAI to improve product design to include features that were previously not reachable.
• Hear the speaker demonstrate how to apply image generation models to vehicle design.
• Gain information on how to cut number of iterations considerably and allow designers and engineers to work more closely and quickly.

Yan-Ying Chen

Senior Research Scientist, Future Product Innovation team
Toyota Research Institute

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GENAI TECHNOLOGY PROVIDER PRESENTATION

Illuminating the transformative potential of integrating Generative AI into the safety and security protocols of autonomous vehicles, underlining a future where autonomy is synonymous with unparalleled safety.

• Delineate the steps taken in developing verification methods, from leveraging large language models for comprehensive safety assessments and potentially threat analysis.
• Bridge the gap between current safety practices and future needs, offering insights into overcoming regulatory ambiguities and enhancing trust in autonomous technologies.
• Highlight the technical strides made but also emphasize the critical balance between innovation and practical challenges, setting a precedent for responsible AI use in advancing automotive safety.

Aliasghar Arab

Research Professor - AI & Robotics
New York University

See Bio

PANEL DISCUSSION

The industry agrees that Generative AI has powers to transform product development and process automation for the automotive industry. The first step in this direction is safe and effective deployment. This session will provide attendees valuable insight into some of the automotive industry’s burning questions including:

• What is the most effective way to deploy generative AI models so that they can be trusted with in safety-critical areas?
• Should we develop our own fine-tuned generative model or use widely used models?
• What are the benefits of using a ready-made generative model vs. developing an in-house generative model?
• What blockers will we face if we try to develop our own fine-tuned model?
• What do we need to consider from a regulatory, governance and data privacy point of view?

Aliasghar Arab

Research Professor - AI & Robotics
New York University

See Bio