In a recent discussion, Mobility outlook, Dr. Bhattacharya Business. Creative Synergies' Intelligent Connected Products, Digital, and AI/ML leader highlighted the multifaceted applications of his LLM, particularly in the automotive industry. He delved into the challenges facing the automotive industry, particularly prognosis, highlighted the complexity of multi-mode failures in mechanical systems, and addressed the opportunities and challenges associated with the integration of advanced technologies in the automotive sector. Dr. Bhattacharya has a background in AI and machine learning and is currently at Creative Synergies where he is responsible for shaping the future of IoT, AI and machine learning.
LLM possibilities
A promising role for LLM lies in solving prognostic problems, especially predicting failures and improving overall safety. They are important tools in synthetic data generation and simulation, and demonstrate how they can aid in scenario generation during vehicle development.
Highlighting their prognostic potential in the automotive industry, these LLMs can play a pivotal role in predicting potential failures, enhancing safety, and reducing highway accidents. While recognizing the potential of LLM, Dr. Bhattacharyya also noted the challenges, especially in the Indian context. He emphasized the need for a phased implementation approach, considering cost implications and the regulatory landscape.
Additionally, LLM can significantly contribute to quality control in the manufacturing sector. Intelligent systems have the potential to address challenges related to part selection and quality issues, especially in off-highway equipment manufacturing.
Another focus area with great potential is predictive maintenance. Dr. Bhattacharyya acknowledged the historical focus on predictive maintenance in manufacturing, but suggested ongoing developments in this field. Combining LLM with AI has the potential to further revolutionize predictive maintenance strategies, optimizing efficiency and reducing downtime.
The future of AI in Indian cars
As the automotive industry adapts to the dynamic landscape of AI and LLM, these technologies will pave the way for safer, more efficient and intelligent vehicles on Indian roads. Adopting an ADAS system with a battery of cameras and sensors means that vast amounts of data need to be processed and analyzed in real-time for immediate mechatronic response, which compromises safety. improve and avoid potential accidents.
In the ever-evolving world of automotive technology, this conversation with Dr. Bhattacharyya provides a glimpse into the exciting future that awaits the Indian automotive sector, where innovation and intelligence come together to redefine the driving experience.
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