DataCapabilities

Frequently asked questions

Everything you need to know about DataCapabilities, the Data Value Blueprint and how organisations build stronger data and AI capabilities.

DataCapabilities helps organisations answer three simple questions:

  • Do we have the right people?
  • Where should we improve?
  • How do we measure progress?

The platform helps organisations build stronger teams, improve data capabilities and prepare for AI.

NewNew challenge: Is your organisation ready for humans and AI to work together?

Data roles in the age of AI

New

AI is changing how organisations work, but successful AI still depends on skilled people, trusted data and clear ownership.

AI is changing how people work, but it is not replacing the need for clear ownership, governance and trusted data.

The seven key roles remain essential, but their responsibilities are evolving.

Traditional→ AI-era
Data Owner
Business ownershipOwnership of data-driven and AI-driven outcomes
Data Steward
Managing data qualityValidating data and AI-generated outputs
Data Analyst
Reporting and dashboardsCollaborating with AI assistants and interpreting results
Data Architect
Designing data platformsBuilding AI-ready data foundations
Enterprise Architect
Technology alignmentIntegrating AI into enterprise strategy
Data Modeller
Data structuresSemantic models and AI knowledge structures
Business Systems Owner
Managing systemsOrchestrating human-AI collaboration

AI changes how work is done. It does not remove the need for skilled people.

No.

Agent AI will automate many tasks, but organisations will still need people to:

  • define goals and priorities;
  • ensure data quality;
  • govern data and AI usage;
  • make business decisions;
  • manage risk and compliance;
  • collaborate across teams.

Agent AI changes how work is done—it does not remove the need for human expertise.

The future belongs to organisations where people and AI work together effectively.

Data professionals will increasingly need:

  • AI literacy;
  • critical thinking;
  • business understanding;
  • data governance;
  • human-AI collaboration;
  • data quality management;
  • risk and compliance awareness.

The most successful organisations will combine human expertise with AI capabilities.

AI does not replace data-management roles. AI increases the importance of having the right people, the right skills and trusted data.

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