You are developing both axes simultaneously; are you ready to make the next step?
Your organisation has some success cases with data and AI. Some AI solutions are built end to end with data, algorithm and application integrated. They have some level of automation in scoring the algorithm and updating the data and application. However, operationalization of AI use cases is not performed best practice yet and many PoCs have not been operationalized at all. Enthusiasm in the business for AI is growing as first impact is proven and some applications/dashboards are being used regularly. However, the AI solutions are not fully embedded and hardly challenge the status quo in the ways of working in those business processes.
AI PLATFORM CAPABILITIES
Next to existing legacy infrastructure, modern infrastructure and architecture has been set-up, mostly cloud based. First AI solutions have been operationalized on the platform or will be soon. However, many more AI solutions are not operationalized yet in this new way. Besides that, the AI specific capabilities on the platform are in early stage of development and no standard way of working for users to work on it has been implemented yet. In short: a good starting position to balance effort between further development of intrastructure/standards, and the operationalization of new AI solutions.