Companies face major challenges when it comes to develop a strategic approach in the field of artificial intelligence (AI). Not surprisingly, there are numerous, undirected activities in which so-called use cases are in the foreground and lead to quick, hasty implementations. Targeted, strategic approaches are rarely recognizable, actions in silos even more so.
The aim of the work we carried out and tested was to develop a practical model that meets all parameters: moving forward quickly, learning from mistakes, identifying unique selling points, developing competitive advantages and ultimately forming an AI strategy from this. This is exactly what can be achieved in three sequentially building steps we have cast into a new framework:
(1) Efficiency phase
(2) Competitive advantage phase
(3) Transformation phase
A short list:
Development of an AI implementation methodology
AI knowledge transfer, education, training
Development of specific AI strategies
Development of taylored AI roadmaps
AI feasibility (iterative, prototyping, TCO)
AI cloud vs. local infrastructures
Development of AI business cases
IT technologies at the connection between humans and machines have been our specialty - for 35 years!
From incremental to disruptive. From a study to a minimum viable product. Everything from a single source!
Successful projects and all this coupled with numerous awards!
We disclose many of our results so that they can be further developed.