Automotive customers have evolved. Today they expect digital, personalized experiences—from buying online to in-car subscriptions. Legacy systems aren’t up to the challenge. Meanwhile, the automotive industry is also under pressure to improve supply chains and innovate financing models with cloud platforms. Learn how mainframe modernization can help and how to overcome challenges that can surface during the journey.
In a rapidly evolving environment, there are challenges automakers can face that stand out as being most critical to long-term innovation and growth. Mainframe modernization can provide the capabilities to help manufacturers overcome them.
Mainframe modernization can solve many business issues that impede innovation and growth. However, modernization also comes with challenges of its own that must be managed effectively to achieve the desired outcomes.
A global automaker performs a proof-of-concept to evaluate the use of Generative AI (GenAI) for software development. The project focuses on one system to explore GenAI’s ability to document, assess, and modernize the codebase. Extrapolating the results of the pilot, the automaker concludes it could expect substantial time savings. By Deloitte’s estimation, GenAI could accelerate mainframe modernization by 50% or more—which could lead to a big improvement in total cost of ownership, code quality, and agility.
Mainframe modernization is essential to enable digital transformation in the automotive industry. And it’s a critical issue for most automakers. In fact, based on internal research conducted by Deloitte, roughly 75% of the firm’s automotive industry clients still have a mainframe footprint. By migrating to more advanced technology platforms on cloud, automakers can gain the agility and ability to innovate that’s needed to sustain their competitive advantage and drive lasting business value.