Bring AI experiments into production with continuous delivery and the lambda architecture

How do you do experiment with AI in production? I believe that it is vital that you run AI experiments in production to make the most of AI. In this session I will introduce an architecture and methodology based on continuous delivery and the lambda architecture to run AI experiments in production.

I believe that it is vital that you run AI experiments in production to make the most of AI. After all that is where the users of your system are. By applying continuous delivery and the lambda architecture you create the right environments to run AI experiments in production.

The use of the combination of continuous delivery and lambda architecture enables developers to quickly deploy changes to their AI solution. It also enables business users to help data scientists improve the AI models by providing vital feedback on real data.

In this session I will introduce an architecture and methodology based on continuous delivery and the lambda architecture to run AI experiments in production. At the end of the session people will have a solid understanding of running AI in production and how to maximize the impact of their efforts in this regard.

Contents of this session

The session gives answers to the following questions:

  • Why do you want to experiment with AI in production?
  • What is the lambda architecture and how does it relate to continuous delivery?
  • How can the lambda architecture help you in allowing non-developers train your AI models?
  • In what ways can you use continuous delivery to quickly improve your AI solution?
  • What tools can you use to deploy a lambda architecture with continuous delivery?

Locatie: Seminarruimte 1 Datum: 27 januari 2018 Tijd: 11:40 - 12:40 Willem Meints