Today, appliedAI announces its comprehensive overview of Artificial Intelligence use case families. This serves as a strategic guideline for capabilities you should either have in your company or at AI partner companies. During intensive discussions with industry- and tech-leaders this framework for categorising use-cases emerged. The use case library consolidates 77 use case families into three levels of cross-domain applicability and six machine capabilities.

We distinguish between three levels of cross-domain applicability (tech stack, enterprise function, industry solution standardization) that allow to identify the relevance of an use case for each individual company. We enrich all use cases with six machine capabilities (Computer Vision, Computer Audition, Interpersonally Intelligent Machines, Mathematical/Logical Machines, Motion & Robotics, Linguistics) highlighting which type of AI technology know-how is needed to implement a case. The use case library furthermore provides you with information about how readily available solutions for different AI use cases are today by distinguishing (by color) AI functionalities provided as API’s, solutions provided as service or product, and use cases requiring individually developed solutions.

What is the key take-away for companies and developers? AI use cases can be found across all domains and industries, as specifications of our use case families. Overall, for most cases the fitting technology already exists. Our analysis suggests that companies that want to implement AI into their business and search for potential fields for proprietary development are well-advised to focus their AI efforts on industry-specific use-cases to profit from their specific know-how and data assets. Analyze what is already offered, build upon it and partner where you can (and where it strategically makes sense).

Go to our interactive insights page here.

Read the article WirtschaftsWoche wrote about our use case analysis here.