“AI & Automotive: Closing the Loop to Improve the Bottom Line” will be held on Tuesday, December 3 at 2pm EST.
KITCHENER, Ontario — (BUSINESS WIRE) — November 25, 2019 — Acerta Analytics Solutions, the industry leader in Automotive Intelligence, is proud to announce its inaugural webinar, taking place Tuesday, Dec. 3, 2019 from 2:00 to 3:00pm EST.
“AI & Automotive: Closing the Loop to Improve the Bottom Line” will see Microsoft’s Darren Coil join Acerta CTO, Jean-Christophe Petkovich, to discuss challenges and changes for artificial intelligence (AI) in automotive manufacturing.
Coil is a leading voice for digital transformation in the global automotive industry, helping automakers drive end-to-end supply chain visibility and intelligent decision-making as Director of Business Strategy at Microsoft. Petkovich has written software for safety-critical systems for leaders in the transportation industry, including Bombardier and QNX, with +10 years of experience in data analysis, pattern recognition, statistical modeling, and machine learning.
Webinar attendees will learn about:
- AI and Machine Learning trends in the auto industry
- Data quality challenges in automotive manufacturing
- Strategies for dealing with dynamic and changing data streams
Attendees will also have the opportunity to view polls and draw on the presenters’ considerable industry and technical knowledge, both throughout the presentation and during a live Q&A. Audience participation is highly encouraged—bring your questions on automotive data, machine learning and Industry 4.0!
Space is limited, so register now to reserve your spot.
Acerta is transforming quality control by leveraging artificial intelligence to help automakers get complex products to market faster and with fewer defects. Our machine learning models are forged from industry experience and driven by data, enabling Acerta’s clients to locate the earliest indicators of future product failures. From reducing scrap and rework rates to accelerating root cause analysis, we provide automotive engineers with the tools to improve throughput and OEE.