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The purpose of the workshop is to provide the target audience with best practices and steps to follow when defining an ML use case, taking into account aspects such as the business goal being pursued, the available data and the impact on the organisation of solving this challenge.
Next, there will be a small practical case study to work on the most relevant aspects of the use case, helping attendees to understand the process of implementing a Machine Learning project.

Limited places.
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Addressed to:

  • Business professionals from all economic sectors.
  • Business managers
  • Analysts

A good technical background can make the session easier to follow but no knowledge of programming or statistics is required.

Workshop dynamics:

It will include a practical session with the audience showing two likely use cases and what is needed to develop an ML model from the functional use case. Each member of the audience will fill in a form/survey with what is thought to be necessary based on the functional explanation.

Programa

Part I: General Concepts and Best PracticesPart II: Practical workshop on determining the use casePart III: Analysis of global results

Workshop given by Everis (CIDAI core partner)

Definició funcional de casos d’ús en Machine Learning- NTT DATA

Taught by:

Javier Martinez Torres, Data & Analytics Director at NTT Data Denis Kreibel, AI Expert Architect at NTT Data Oscar Diaz Pedrayes, AI Lead Architect at NTT Data

CIDAI