AREA OF EXPERIENCE
Data & AI
Experience in establishing data foundations and applying AI to practical business problems rather than treating AI adoption as an objective in itself.
Areas of experience
- Data strategy
- Data governance and ownership
- Data dictionaries and common definitions
- Master Data Management
- Data quality and data-at-source principles
- AI use-case prioritisation
- AI operating and orchestration considerations
- Practical AI implementation
Judgement and decision-making
- Defining the business outcome before selecting an AI solution.
- Recognising the difference between poor data and data that is simply unavailable or fragmented.
- Establishing business ownership of data quality.
- Prioritising a manageable use case before attempting broad adoption.
- Balancing proof of value against the cost and complexity of wider implementation.