AI Use Cases
Accelerate data analytics with conversational interface
Use conversational interfaces to analyse business data. The ability to ask conversational questions (e.g. "what is driving this correlation?") offers potential convenience, speed and reduced Business Intelligence costs. Will increasingly become a tool layered in to other applications / use cases.
Deliver personalised, real time analytics feed according to individual and team requirements
Personalised data feeds, potentially structured on a team / functional / hierarchical level will help speed up processes and decision-making. Differing organisational cultures around information-sharing will be a key issue here.
Automate preparation of data for inclusion in analytics platform
Take data from raw formats with data quality problems and develop in to a clean, ready to analyse and deploy format. This may be as simple as mismatching Excel columns or the aggregation of completely different data sources and types. Linking object IDs is key - hence human reinforcement and tagging potentially part of the data management process.
Support strategic planning for sports teams
A variety of AI techniques can be deployed to help capture insights on opposing sporting team approaches and strategies (for example recognise patterns in movement). AI can support modelling through alternatuive game strategies that coaches or managers wish to test.
Support performance improvement in athletes
Support data visualisation and use predictive analytics to help individuals and teams spot issues or opportunities for self-improvement - or weaknesses in opponents - to optimise athletic performance. Sensor data may be a significant element in the inputs.