AI quick scan Test how your company is performing on developing and implementing AI solutions and platform capabilities: 1.My organisation communicates a clear end-state vision on how AI can transform our business Always Often Regularly Sometimes Never 2.AI initiatives are aligned with the strategic goals of my organisation Always Often Regularly Sometimes Never 3.My organisation has a roadmap that aligns AI efforts with large scale business opportunities Always Often Regularly Sometimes Never 4.My organisation succesfully builds high potential proof of concepts with AI Always Often Regularly Sometimes Never 5.AI use cases are developed end-to-end from data to algorithm to an application, such that users can interact with the algorithm Always Often Regularly Sometimes Never 6.AI use cases are automated and operationalized in a production environment Always Often Regularly Sometimes Never 7.AI use cases are fully adopted by the business, without unintended retreat to own judgement Always Often Regularly Sometimes Never 8.Business processes are fundamentally changed by implementing AI use cases Always Often Regularly Sometimes Never 9.AI use case MVP’s are continuously being improved, leaving MVP state Always Often Regularly Sometimes Never 10.My organisation succesfully scales the impact of AI use cases Always Often Regularly Sometimes Never 11.There is a clear infrastructure in place for users to approach (a selection of) data Always Often Regularly Sometimes Never 12.There is a possibility to develop models in the same environment and language, for example in sandbox like environments Always Often Regularly Sometimes Never 13.Algorithms are operationalized and automatically predict on new data Always Often Regularly Sometimes Never 14.Your organisation has deployed one or more experiments with modern, for example cloud-based, infrastructure Always Often Regularly Sometimes Never 15.AI platform standards are set and managed Always Often Regularly Sometimes Never 16.Vision exists on target infrastructure for new solutions Always Often Regularly Sometimes Never 17.Existence of legacy is accepted as a given, but migrations and dependencies are managed with an impact driven mindset Always Often Regularly Sometimes Never 18.AI use cases are in production on scalable modern infrastructure Always Often Regularly Sometimes Never 19.There are standardized processes to develop, deploy and maintain models (model management) in modern infrastructure. Always Often Regularly Sometimes Never 20.There is a flexibility to access any data and use it to build solutions with diverse requirements, while still maintaining certain standards managed centrally Always Often Regularly Sometimes Never
