| Popis: |
While there have been a large number of artificial intelligence (AI) research outputs in recent years, managers and practitioners often struggle to turn those into concrete value-adding products. One of the reasons is a lack of innovation management for AI. This chapter connects these dots and demonstrates how successful AI innovation management can be done. Key to turning AI research into concrete AI-based products is building ecosystems that are fruitful, cutting-edge and sustainable. As an outcome, readers can follow our best practices when working towards their own cutting-edge AI products, while getting the big picture of AI, its promise and contemporary challenges. |
