Simplify customer purchase intent predictions with analytics and ML

Companies are integrating AI/ML solutions to their business to stay ahead of competition. However, machine learning can be hard and often requires specialized skillet. It begins with collecting and preparing the data, followed by building, training the machine learning models before deploying it. Even choosing an algorithm to build the model can be tough. Which algorithm or machine learning model should you pick? How can you reliably figure out which model will perform the best based on your business problem? How to do hyper parameter tuning to get the best out of the model? In this session, we explain how to simplify machine learning lifecycle on purchase intent prediction using Amazon SageMaker Autopilot combined with AWS analytics services.
Kamal Machanda, Solutions Architect, AISPL
K V, Sureshkumar, Prototyping Architect, AISPL
Download slides »

Previous Video
AWS Innovate Data Closing Remarks
AWS Innovate Data Closing Remarks

To make decisions quickly, organizations want to store any amount of data in open formats, break down disco...

Next Video
Data-Driven Everything - From vision to value
Data-Driven Everything - From vision to value

While data is abundant and growing rapidly, just producing or storing a lot of it does not automatically cr...