AI Challenge—How Artificial Intelligence Can Be Anchored in a Company

Ralf T. Kreutzer () and Marie Sirrenberg ()
Additional contact information
Ralf T. Kreutzer: Berlin School of Economics and Law

Chapter 10 in Understanding Artificial Intelligence, 2020, pp 235-273 from Springer

Abstract: Abstract In this chapter you will see that the 3-horizon model provides you with an important tool for checking the status quo of AI use in your company. Based on this you can formulate concrete tasks to initiate activities at horizon-2 and -3 levels in order to identify the strategic potential of Artificial Intelligence for your company. The presented AI maturity map provides you with a very helpful tool to analyse your AI maturity. Beside the AI basics you also focus on fields of application of Artificial Intelligence in your company. The results of the AI maturity map are the starting point for your AI journey. You will find orientation points, clear guidelines and helpful instruments to develop an AI journey for you company. You will see what is necessary to master the challenge successfully.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-25271-7_10

Ordering information: This item can be ordered from
http://www.springer.com/9783030252717

DOI: 10.1007/978-3-030-25271-7_10

Access Statistics for this chapter

More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().