Accelerate automotive’s AI transformation

                <p>The promise of AI offers major implications for engineering, production, supply chain, customer experience, and mobility services, but progress in AI-driven transformation appears sluggish and uneven with lingering roadblocks. The number of automotive companies deploying AI at scale has grown from 7% in 2017 to 10% today, with OEMs generally making better progress than suppliers or dealers. Geographically, the U.S. is leading the way with 25% of companies implementing AI at scale followed by the UK (14%) and Germany (12%). In terms of exponential growth, China is making huge strides, having nearly doubled its share of scaled AI implementations from 5% to 9%.</p>

The Accelerating automotive’s AI transformation: how driving AI enterprise-wide can turbo-charge organizational value report surveyed 500 executives from large automotive organizations in eight countries and interviewed a group of industry experts and entrepreneurs to understand how progress in deploying AI at scale can be accelerated. It also identifies 13 out of 45 high-benefit, low-complexity use cases organizations should focus on. Read how your peers and competitors are using AI at scale to do business differently.

Key findings: • Scaling of AI is growing slowly • Automotive organizations can drive significant rewards from scaled AI • AI is seen more as a job-creator than a job-replacer • AI is achieving results when deployed.

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