Processes

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• Identify and implement applications for artificial intelligence (AI) - Data-driven business architecture

  Artificial intelligence (AI) has many practical applications for businesses. Think of AI as a larger framework that provides different capabilities. Companies implementing AI should review their vision and develop an AI strategy that aligns with their larger goals and focus. To implement, data-driven use cases are the basic requirement. Also, a flexible and modular architecture should be chosen from the beginning, which can be expanded and improved as needed in the future.

  Strategy / Vision•Britta Daffner•15 Dec 2020•4 minutes

  

• The IoT – high ambitions, slow conversion: What's going wrong? - Part 2

  As discussed in the first part of this series of articles, many IoT initiatives fail because of the dilemma between short-term revenue expectations while it is strategically unclear how to realize these. But the probably most common and at the same time likely most dangerous reaction remains the "Agile IoT" reaction or as it should better be called "Moving Target" reaction.

  IoT - Internet of Things•Natalie Schnippering•6 Apr 2020•5 minutes

  

• IoT Solutions – structure and processes explained

  Self-ordering refrigerators, coffee machines that report weeks in advance that parts need to be replaced and tractors that harvest fields on their own - the possibilities in IoT are as versatile as the industries and fields of application in which we manufacture products. But how is it possible that these machines are suddenly able to trigger orders or report their status independently?

  IoT - Internet of Things•Natalie Schnippering•30 Mar 2020•8 minutes