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Sustainable data products and practices

Instruction and application
Complete

Sustainable AI is not only about watts per FLOP. Data products—features, tables, labels and pipelines—shape storage, recomputation and risk. Lean, well-governed data reduces cost, emissions and harm.

Data minimisation

Collect and retain only what you need. Over-collection increases storage energy, widens breach impact and complicates consent. Minimisation aligns with GDPR-style principles and often improves model focus when paired with strong definitions.

Practices include selective retention, aggregation for analytics where raw detail is unnecessary, and anonymisation or pseudonymisation when identifiers are not required.

Data quality and integrity

Sustainable models need trustworthy inputs: validation rules, automated checks, versioned datasets and clear ownership. Poor quality forces retraining, hotfixes and rework—all of which burn energy and trust.

Responsible data governance

Governance connects policy to implementation:

Energy-aware algorithms and hardware

Pair lean data with efficient computation: smaller models where adequate, quantisation, specialised chips and vendor tools that deduplicate storage (for example NetApp-style dedup/compression patterns in enterprise storage).

Key point

Sustainability wins stack: less data movement + higher data quality + more efficient compute beats optimising only one layer.

Action item: Quiz

Question 1 of 2
Which practice best illustrates data minimisation for an ML product?
  • A. Storing every click forever “just in case”
  • B. Defining the minimum fields required for the decision, with documented retention and purpose limitation
  • C. Duplicating raw exports to every analyst laptop
  • D. Disabling access controls to speed onboarding
Correct Answer: B

Feedback: Minimisation is intentional scope and retention, not maximal hoarding.

Why are audit trails part of sustainable governance?
  • A. They replace the need for testing
  • B. They guarantee models are unbiased
  • C. They reduce repeated forensic work and enable targeted fixes when issues arise
  • D. They remove legal obligations
Correct Answer: C

Feedback: Traceability shortens incident response and prevents endless re-discovery of the same gaps.