AI Plan Workshop (1 week)

A major goal is to understand how to prepare and plan the implementation of your first AI Project.

Description of the AI Plan Workshop

At the end of this 1-2 week workshop we concretise the outcomes of the Discovery Workshop and head from data exploration towards either a minimal viable model or recommendations towards addressing the bottlenecks.

If the data allows it, we want to move towards a minimal viable product, otherwise we deliver recommendations to address the bottlenecks and plan the next steps. In addition, we train employees to handle the state of art adoptions.

ai-plan-workshop

Data exploration

The Workshop start with exploring the data to assess the possibilities of the data assets.

  • Assessing data quality and quantity
  • Validate feasibility and usefulness of data for intended goals  
  • Guidance towards improved data

Selection of a suitable ML/AI model

Study the state-of-the-art approaches and choose an algorithm / model to apply to the selected use-case.

  • Research for suitable models
  • Select the appropriate open-source framework / implementation
  • Define the scope of the MVP (minimal viable product)
  • Identify relevant features and if applicable recommend new features

Initial model training & evaluation

First training of the model with the selected customer data

  • Split the data into 3 subsets: training, validation, test.
  • Launch and monitor training
  • Evaluate and visualize results
  • Recommendations to improve the model (performance metrics)
  • Recommandations to integrate the model with your existing tools
  • Identify outsourcing/partner selection criteria
devoteam

Other phases