Broadcast Date: March 22, 2019

Level: 300

Using machine learning (ML), developers can process a large set of various data, understand complex relationships within them, and provide accurate results that they couldn’t get with traditional methods. Machine learning is particularly useful when it comes to creating forecasts or individualized recommendation systems. In this tech talk, you will learn how to build accurate custom forecasting models and recommendation systems using Amazon Forecast and Amazon Personalize. No prior machine learning experience is required to start using these services.

Learning Objectives

  • Get introduced to Amazon Forecast and Amazon Personalize
  • Learn how to build accurate forecasting models using your own data without prior ML experience
  • Learn how to create individualized recommendation systems for your customers without prior ML experience

Who Should Attend?

Application Developers, Business Decision Makers, Data Scientists, IT Professionals


  • Vaibhav Sethi, Sr. Product Manager, AWS
  • Varsha Balasubramaniam, AI Software Engineer, AWS

Learn More

To learn more about the services featured in this talk, please visit:

Intro body copy here about 2018 re:Invent launches.

Download the Slide Deck


Service How To

December 19th, 2018 | 1:00 PM PT

Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.

Register Now>


What's New / Cloud Innovation

December 11th, 2018 | 1:00 PM PT


Register Now>

Data Lakes & Analytics

Webinar 1:

What's New / Cloud Innovation

December 10th, 2018 | 11:00 AM PT


Register Now>

Webinar 2:

What's New / Cloud Innovation

December 12th, 2018 | 11:00 AM PT


Register Now>