Data Management and Artificial Intelligence II

Data Management and Artifical Intelligence. Final model from my presentation this week at the Society for Professional Data Managers using the Cynefin framework (Snowden) for aiding decision making in various situations applied to data management through semi fictitious examples.

Key points:

1. Perspective: Being a data manager is so much more than just clicking a few buttons and loading data or manually checking a document. You are presented with a range of situations in which to respond – that cannot all be automated.

2. The low hanging fruit for AI automation are likely to be ‘clear’ simple situations (bottom right).

3. Large Language Models (top mid left) are disruptive event causing some departments and organisations to respond ‘chaotically’, some to probe in a ‘complex’ way with some to experience ‘disorder’ – I.e. not yet able to categorise the situation or perhaps given it thought.

#artificialintelligence #datamanagement #cynefin #largelanguagemodels #chatgpt