Ann Mutschler

Making sure systems work as expected, both individually and together, remains challenging. In many cases, standards are vague or don't apply to the latest technology.

Agile development may be the best approach for designing new vehicles, but it requires a complete mindset shift for carmakers, particularly with mixed criticality.

Addressing energy consumption has become a requirement as AI takes root, but it requires changes across the entire ecosystem.

Automotive OEMs must undergo a change of mindset and a willingness to embrace open standards for SDVs to become a reality.

Improvements are still needed in integration of data and tools, but faster multi-physics simulations are becoming essential for context-aware optimization and reliability.

Change reflects higher value of data and push to more heterogeneous designs.

Solving battery management, utilization, charging and vehicle-to-grid issues is essential to boosting EV adoption.

Retaining data in memories and processors becomes more difficult as temperatures rise in advanced packages and under heavy workloads.

As chip complexity rises with disaggregation and chiplets, the design process will become increasingly more workflow- and workload-specific.