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11th - 13th February 2025 | NH München Ost Conference Center, Munich, Germany

The Potential of Generative AI to Optimise Product Development and Process Automation | Interview with Jörg Reichardt at Continental

The Potential of Generative AI to Optimise Product Development and Process Automation | Interview with Jörg Reichardt at Continental

User rewrite this ChatGPT Of course, please provide the text you'd like me to rewrite. User Generative AI (GenAI) technology is disrupting the way vehicles are designed, manufactured, and experienced. There are ongoing talks and initiatives to break into and develop GenAI, a lot of bottom-up innovation taking place, and investment in the space is rising as new projects kick off. In this interview between Automotive IQ and Jörg Reichardt, Senior ML Expert at Continental, the topic of how technology is empowering automotive companies to optimise product, process and people efficiencies with generative AI is explored. Interview highlights:

The differences between GenAI vs. what was previously possible with machine learning, and why is it more powerful than before. How GenAI can improve results, performance, and impact of product development. Which automotive applications and business areas are most likely to benefit from GenAI. What type of training will be required to empower teams to use LLMs and GenAI models. ChatGPT The advent of Generative AI (GenAI) technology is revolutionizing the automotive industry's approach to design, manufacturing, and user experience. Currently, there's a surge in discussions and initiatives aimed at diving into GenAI, with a significant amount of grassroots innovation underway and increased investment in the field as new projects emerge. In a recent interview conducted by Automotive IQ with Jörg Reichardt, Senior ML Expert at Continental, the conversation delves into how technology is enabling automotive companies to enhance product, process, and personnel efficiencies through generative AI.

Key points from the interview include:

  1. Exploring the disparities between GenAI and previous capabilities in machine learning, and understanding its heightened efficacy.
  2. Unveiling how GenAI can elevate the outcomes, performance, and overall impact of product development efforts.
  3. Identifying automotive applications and business sectors poised to gain the most from GenAI integration.
  4. Discussing the requisite training needed to empower teams in leveraging Large Language Models (LLMs) and GenAI models effectively.