MathWorks Automotive Conference 2025: Steering Future Innovations in Pune

MathWorks successfully hosted its Automotive Conference 2025 in Pune, uniting industry leaders to delve into ADAS, SDVs, electrification, and AI. Speakers highlighted transforming automotive development through data-driven models. Panel discussions shed light on managing software complexity, while demonstrations showcased cutting-edge techniques to bolster automotive performance and reliability.


Devdiscourse News Desk | Pune (Maharashtra) | Updated: 30-07-2025 11:13 IST | Created: 30-07-2025 11:13 IST
MathWorks Automotive Conference 2025: Steering Future Innovations in Pune
Sameer Prabhu, Director - Industry Marketing - MathWorks. Image Credit: ANI
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MathWorks India wrapped up the MathWorks Automotive Conference 2025 in Pune, applauded as a beacon for industry leaders to gather and examine technological innovations shaping the automotive future. The conference attracted experts and enthusiasts eager to discuss advanced driver assistance systems (ADAS), software-defined vehicles (SDVs), electrification, and artificial intelligence-driven engineered systems.

The event saw Sameer Prabhu, MathWorks' Worldwide Industry Marketing Director, deliver a compelling keynote titled "Driving the Future: Transformational Changes in the Automotive Industry." Prabhu underscored the significance of leveraging interdisciplinary trends and the systematic integration of data and models in the automotive development process to drive substantial and accelerated transformation across the industry.

A highlight of the conference was a panel titled "Streamlining Automotive Software Complexity," featuring top industry figures such as Deepti Sapliga of Cummins India and Geetanjali Khot of Tata Motors. These discussions, along with a suite of technical talks, addressed the escalating complexities of modern automotive systems while providing insights into innovative software solutions. Noteworthy sessions included narratives on navigating ADAS challenges on Indian terrains and utilizing Model-Based Design to enhance software-defined vehicle (SDV) development.

(With inputs from agencies.)

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