Design Thinking and Innovation Metrics › Templates › Data-Driven Innovation 301

Data-Driven Innovation 301 · book page 349

Data Source Template

A template to identify the relevant data for an AI solution: existing internal and external data, additional data, sources, owners, permissions and ethics.

When to use it

When an AI prototype moves from simulated experiences to real data and the team needs to train and test a model.

How to start

  1. Define objectives, features and the expected output of the AI solution.
  2. List existing internal and external data and the data that must be acquired or created.
  3. Record source, owner, permissions, limitations and ethical data principles for each data set.

The book explains the tool step by step, with examples of measurements.

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