Leading the Way to an AI-driven Organization
A practical guide for executives to navigate tectonic shifts and build an enduring competitive advantage with AI
Marc Ziegler | Sven Rossmann | Andreas Steer | Sabine Danzer
Nov 2019
| Study
| English
Leading the Way to an AI-driven Organization
A practical guide for executives to navigate tectonic shifts and build an enduring competitive advantage with AI
While industry leaders embrace Artificial Intelligence (AI) as a strategic business enabler that is incorporated into their corporate strategy, the majority of companies are still caught in the “AI pilot trap” and are not generating the promised value of AI. Most stated reasons by executives for AI implementation challenges are lacking AI skills, the absence of exploitable data and the inability to set up supportive organizational structures.
The new study of Porsche Consulting serves as practical guide for executives on how to transform their companies into AI-driven organizations that leverage the full potential of AI. The study particularly sheds light on the execution side of AI initiatives and elaborates, what it takes to successfully kick-start and scale AI across the organization, supported by several best practice examples of companies, which have already successfully embarked on the AI journey.
Management Summary
- A basic, shared understanding in the C-level suite about AI avoids misleading expectations and guarantees commitment.
- In the context of AI, education is key, not only for skilled AI talent but for the whole organization, particularly those end users affected by it.
- A coherent vision, mission, and ambition level sets the stage for successful implementation. AI principles provide orientation during the journey.
- Lighthouse cases provide first-hand experience with AI. Initial measurable outcome not only illustrates the potential executed by a specific organization but also offers important lessons that form the basis for strategic directions.
- By involving and enabling key stakeholders early on, it becomes easier to create common objectives with tangible results that go beyond lab-style “gimmicks”.
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