Data
Our data experts know the technical requirements for data, IT infrastructure and systems. These should definitely be checked and strengthened before using AI.
Strategy
No AI without strategy: Our strategy team looks at the given challenges and identifies the AI use cases with the greatest added value for the department or company.
Use Cases
There are many AI use cases, but which one has the greatest added value for your own company? One example of an optimized customer experience is our AI chatbot called Dicobot. Take a look at its development history here.
How data unleashes the potential of AI
The "De-Hyping the Hype" report puts an end to unrealistic AI hype scenarios and highlights the critical importance of data in utilizing AI effectively. It emphasizes that only with high-quality data as input can the output of an AI solution achieve high quality. Within the report, you can discover the steps necessary to master the successful utilization of data and explore the questions and pitfalls that require consideration.
Successfully implementing AI strategies
In our "Playtime is over" report, we guide you through the process of implementing AI in your company or department with a focus on concrete application. Utilizing the four core elements of objectives, use cases, enablers, and implementation, our AI experts illustrate the components of a well-considered strategy essential before embarking on specific AI projects. We firmly believe that the “playtime” is past; now is the time to extract the maximum individual value from AI to enhance business success. Our approach steers away from trial and error, emphasizing a direct path towards effective implementation.
AI use case Dicobot - our chat assistant
Would you like to know more about how AI chatbots are developed? Join our developer team and Dicobot during its creation and learn the development story from its perspective. Dicobot is now live and ready for testing!
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