The Implementation Framework

Learn about the four frameworks that most teams use to implement AI.

According to Jonathan Fernandes, the framework needed for the introduction of AI to an organization can be broken into four key stages:

  1. Business understanding

  2. Data collection and analysis

  3. AI modeling and evaluation

  4. Deployment and monitoring of the AI model in production


Each of the four stages has corresponding deliverables that we can target to achieve in order to move toward our goal of implementing AI.

Business understanding

In this stage, the goal is to obtain business case approval.

Data collection and analysis

The goal in this stage is to explore and develop business use cases for the collection and analysis of data.

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