Azure AI Foundry / Azure ML (Machine Learning) Enablement

Enablement of Azure AI Foundry and Azure Machine Learning environments for AI prototyping, experimentation, deployment and production scaling.

  • RFC SERVICE
  • AI automation at scale
Customer challenge

Establish AI technical foundations

Teams lack a shared environment for AI experimentation. Choose experiments and deployments suited to the need.

  • Starting point

    Teams lack a shared environment for AI experimentation.

  • Promise

    Prepare Azure AI Foundry or Azure ML.

  • Decision

    Choose experiments and deployments suited to the need.

AI SHIFT

Integrate AI into business activities

Azure AI technical foundation for agents, models, RAG and production scaling.

RFC approach

A structured approach to action

Each step specifies the actions, deliverables and decisions to prepare.

  • Evaluate

    Clarify the need, expected value and technical feasibility.

  • Prioritise

    Select applications according to impact, data and risks.

  • Prototype

    Test a targeted solution and verify the conditions for its use.

Let's discuss your context

Talk to an RFC expert

Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.

Technologies used

Platforms suited to the service's processes, data and integrations.

  • Azure Machine Learning
  • Azure AI Foundry
  • Azure Data Factory
  • Azure Synapse Analytics
Let's discuss your context

Talk to an RFC expert

Share your context, priorities and constraints. Our experts help you structure an IT journey aligned with your transformation goals.

Tell us about your challenges

Share your priorities to prepare for a focused discussion.