Machine Learning Planning and architectures

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There are multiple types of projects on machine learning, so the phases and steps are different. I will try to reduce to some basic type of projects.

Basic project plans (main phases)

Machine learning solution based on a Product

  • Technology assessment = 2 – 3 days.
  • Production trial = 8 – 12 days.
  • Application deployment in production = 3 – 6 months.

Machine learning solution based on a platform

  • Proof of concept, and prepare business case = 2 – 4 weeks
  • Executive briefing with results = 2 – 4 hours.
  • Production trial = 8 – 12 days.
  • Application deployment in production = 3 – 6 months.

Six Sigma projects can be implemented using both approaches.

Solution Architecture

Some examples of architectures representation (just the main picture)

Architecture example based on C3.ai company.

Another example, from Microsoft:

Example of components of the Azure Machine Learning architecture.

Another example related to AWS:

AWS predictive maintenance example

 

As usual, the selection of the solution brand depends on the partnerships and the knowledge your organization has related to one or other brand, platform or company.

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