Data-Driven Technology Management Supported by Artificial Intelligence Solutions
Abstract
Technology Management is an important part of a companys business strategy. Procuring, evaluating, and processing information is crucial for this process' success. This paper describes the way of dealing with todays challenge of information overload. It introduces a concept of technology databases based on opportunity evaluation and the systematical development process of technical systems. The idea is to capture two perspectives generic technology information outside the company and internal technology knowledge in one comprehensive database to be used as a basis for decision-making in technology management. Complementing this, the paper presents concepts of Artificial Intelligence-based information retrieval and processing that are suitable to efficiently support and semi-automate the filling and updating of such a database. Furthermore, existing software solutions are considered as exemplary. The finding of this paper is a combined approach of such a technology database with artificial intelligence methods for information retrieval that can support the process of technology management more comprehensively than is currently possible.
