Industry Primer for Automotive: Technology, Innovation, and AI

The automotive industry is evolving through electrification, software-defined vehicles, and AI-driven analytics, reshaping the technology systems behind engineering, manufacturing, and retail. Explore the technology landscape, digital transformation trends, and how AI and advanced analytics support demand forecasting, supply chain resilience, and vehicle data analysis. Examine emerging innovations alongside challenges such as legacy constraints, data quality gaps, cybersecurity risks, and regulatory compliance. Learn how to identify consulting opportunities in AI strategy, technology modernization, data unification, and automation. Designed for consultants, strategists, project managers, and developers, this intermediate-level course builds the insight needed to guide clients through the automotive industry's technological transformation.

Learning objectives
Define the technology systems and landscape shaping the automotive industry.
Identify digital transformation trends affecting automotive engineering, manufacturing, and retail.
Examine how AI and advanced analytics support demand forecasting, supply chain resilience, and vehicle data analysis.
Overcome technology challenges and risks, including legacy constraints, data quality gaps, and cybersecurity threats.
Recognize consulting opportunities in AI strategy, technology modernization, data unification, and automation.