Whitepaper: A Maturity Model for Artificial Intelligence

Jannik Klauke Blog, Data Science

Management Summary

Today, artificial intelligence is considered one of the most important megatrends of the new decade. In Europe alone, productivity increases of 20%-38% could be achieved by 2030 through AI [1].

To successfully establish artificial intelligence in one’s own company, one should first understand the status quo of AI adoption. At STATWORX, we have developed a model that is based on our AI strategy approach and can determine the level of AI maturity in organizations or areas/departments in the six dimensions (1) Data, (2) Use Cases, (3) Infrastructure, (4) Organization, (5) Team & Skills and (6) Governance. The company can then be classified into four possible maturity levels: ad-hoc, opportunistic, integrated, or transformational. This white paper presents both the background of the AI maturity assessment and methods for determining the specific maturity level. In addition, it outlines steps that will help you to increase your AI maturity level systematically.

Problem description: Why AI maturity levels are measured

Digitization has now taken root in most organizations. Large amounts of data are generated and stored every day. The opportunities to use AI to develop new products and services, increase productivity, and boost profits are extremely attractive for many companies. 9 out of 10 managers see AI as a business opportunity [2]. When looking at the market, an ambivalent picture emerges, despite the considerable possibilities of such intelligent technologies. While in some companies, the adaptation of artificial intelligence applications is already in full swing and strategic and operational measures are being taken to scale the technology, other companies are still lagging far behind in these areas. Parallel to the general digital transformation, pioneers will consolidate their position, while other competitors will be left behind. As early as 2017, 38% of the respondents in a survey of 3000 executives already implemented an AI strategy in the company, and 23% of the respondents stated that they were piloting AI [2]. To enable a successful AI adaptation, every company must first make some internal findings: Where does the company stand in the application of intelligent technologies and artificial intelligence capabilities? Where should the application of AI lead in the short, medium, and long term?

In this whitepaper, we would like to present our method for determining and increasing the AI maturity level. Below you will find the parameters for the successful measurement of maturity and concrete objectives and measures that will help you define an AI roadmap.

Are you interested in the topic of maturity levels for artificial intelligence?

Click here to download the whole whitepaper “A Maturity Model for Artificial Intelligence” for free.

Über den Autor
Jannik Klauke

Jannik Klauke

At STATWORX I work as a data science consultant and I'm passionate about all things data. My biggest interest is combining technical topics with business strategy.


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