Enterprise AI Canvas -- Integrating Artificial Intelligence into Business
U. Kerzel

TL;DR
The paper introduces the Enterprise AI Canvas, a framework to help organizations integrate AI into business processes by aligning technical and organizational aspects.
Contribution
It presents a structured tool that facilitates collaboration between data scientists and business experts for AI integration.
Findings
Enhances understanding of AI integration challenges.
Supports structured discussion of data and organizational factors.
Aids in aligning AI projects with business goals.
Abstract
Artificial Intelligence (AI) and Machine Learning have enormous potential to transform businesses and disrupt entire industry sectors. However, companies wishing to integrate algorithmic decisions into their face multiple challenges: They have to identify use-cases in which artificial intelligence can create value, as well as decisions that can be supported or executed automatically. Furthermore, the organization will need to be transformed to be able to integrate AI based systems into their human work-force. Furthermore, the more technical aspects of the underlying machine learning model have to be discussed in terms of how they impact the various units of a business: Where do the relevant data come from, which constraints have to be considered, how is the quality of the data and the prediction evaluated? The Enterprise AI canvas is designed to bring Data Scientist and business…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
