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Data Growth & AI - The way to AI implementation
How the use of AI succeeds with data & strategy
AI has become an integral part of everyday corporate life, offering more business benefits along the entire value chain. The basic prerequisite is the interaction of various elements, including a sound data infrastructure, a customized AI strategy and the right use cases. Our experts show what is needed to get off to a successful start with AI.
Data
Our data experts know the technical requirements for data, IT infrastructure and systems. These should definitely be checked and strengthened before using AI.
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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.
Data & Technology Readiness
Team Readiness
Do employees have the expertise to implement a transparent data culture?
Inventory
Can you answer "yes" to all the points in our AI readiness checklist?
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.
Define goals
Identify use cases
AI applications with the greatest added value must be identified, evaluated, and prioritized.
Find enablers
Not everything has to be done internally, cooperation with partners is important.
Start implementation
The initial use cases and strategies are continuously optimized in an iterative implementation process.
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!
Alpha
Beta
The AI chatbot model of our Dicobot is being further refined. To do this, our AI chatbot is launched in a secure test environment.
Go-Live
The time has come: Dicobot is now available to all visitors to our diconium website. This means that our AI chatbot will provide you with all the information you want to know about diconium and our services to round off your visit to our website. Have fun testing it out!
Curious?
To find out more, please contact us!