The peak of the main wave of artificial intelligence (AI) tsunami is about to hit industries, governments and societies accelerating the pace of product and service innovation, and putting data in the focus of the business interest. AI, as a core driver of the digital revolution, is expected to challenge and transform some of the core axioms and assumptions that underlie the innovation process and its management. To contribute to a better understanding what and how is changing in manufacturing in the era of AI, in this paper we describe five innovation challenges that will, in our view, shape the future of manufacturing. Focusing on changes in innovation focus, importance of data, need for increased collaboration, impact of customer experience and shortage of talent, we offer valuable insights on how manufacturing companies should approach innovation challenges in the next decade.
|Number of pages||5|
|Journal||Annals of DAAAM and Proceedings of the International DAAAM Symposium|
|Publication status||Published - 2019|
|Event||30th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2019 - Zadar, Croatia|
Duration: 23 Oct 2019 → 26 Oct 2019
- Artificial intelligence