TY - JOUR A1 - Kakatkar, Chinmay A1 - Bilgram, Volker A1 - Füller, Johann T1 - Innovation analytics: Leveraging artificial intelligence in the innovation process JF - Business Horizons N2 - Artificial intelligence (AI) is about imbuing machines with a kind of intelligence that is mainly attributed to humans. Extant literature—coupled with our experiences as practitioners—suggests that while AI may not be ready to completely take over highly creative tasks within the innovation process, it shows promise as a significant support to innovation managers. In this article, we broadly refer to the derivation of computer-enabled, data-driven insights, models, and visualizations within the innovation process as innovation analytics. AI can play a key role in the innovation process by driving multiple aspects of innovation analytics. We present four different case studies of AI in action based on our previous work in the field. We highlight benefits and limitations of using AI in innovation and conclude with strategic implications and additional resources for innovation managers. KW - AI-based innovation management KW - AI-augmented innovation KW - Machine Learning KW - Natural language processing KW - Front-end innovation KW - Innovation process Y1 - 2020 U6 - https://doi.org/10.1016/j.bushor.2019.10.006 SN - 0007-6813 VL - 63 IS - 2 SP - 171 EP - 181 PB - Elsevier BV ER -