data academy

Whitepaper: AI Training in Companies

Alexander Niltop Blog, Data Science

Management Summary

The further education of employees in artificial intelligence (AI) is one of the central tasks for establishing AI in one’s own company. Although other factors, such as a company-wide AI strategy or broad support of AI projects by the various management levels, also play an important role in the success of AI initiatives, no initiative can be established in the long term without a company-wide basic understanding of the topic and a trained Data Science or AI team.

Acceptance of AI Through Education and Training

Many employees in organizations currently lack imagination when it comes to artificial intelligence. The opportunities that arise from the application of this technology are still too abstract for many people. Concrete experiences in applying AI solutions and targeted training measures can raise awareness of the opportunities of AI in the workforce. At the same time, it is necessary for managers to clearly communicate an AI strategy and take an open approach to deal with fears or even prejudices so that employees accept AI in their everyday work and, at best, even become enthusiastic about it [1]. To achieve this goal, one could initiate a company-wide education and training program that prepares the workforce for the expected future in a systematic and target group-oriented manner. This is the only way to build a basic understanding of the opportunities and risks associated with AI throughout the organization, ultimately leading to the necessary acceptance of the technology among the workforce.

The Three Core Roles of Data Science and AI Teams

In addition to a company-wide, more fundamentally oriented training program, Data Science or AI teams must be trained on a more individual basis. For the three core roles of the AI team – Data Scientist, Business Analyst, and Data Engineer – a variety of accompanying topics such as agile, collaborative working, or legal and ethical aspects of AI must be taught in addition to technical training. Furthermore, specific knowledge and skills may be required for each of the three roles separately.

In this white paper we explain the tasks & responsibilities of the individual roles of a Data Science and AI team. Building on this, we will show why internal training and support of external service providers are the key to building a successful AI strategy.

Über den Autor
Alexander Niltop

Alexander Niltop

I am a data scientist at STATWORX and love to improve my understanding of complex topics. So I'm fascinated by deep (learning) explanations and if you want to talk about explainable AI or causal machine learning, I'm in!

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