Kanchan Waikar

In this workshop, learn how to compose secure and compliant applications consisting of machine learning (ML) models and third-party datasets from AWS Marketplace that solve an ML problem. Set up an AWS Service Catalog portfolio containing multiple individual compliant AWS Service Catalog products, and then vend them as an end user.

Insufficient enterprise AI adoption often happens due to lack of time, data, and skills required to develop ML models for solving your business problems. In this session, learn how pretrained ML models—available in AWS Marketplace and deployed with Amazon SageMaker—can help you quickly add new ML features in your applications and enable you to prove the value of powering your applications with...

Enterprise customers often look for prescriptive instruction on how to scale management of standardized cloud architecture patterns to enable standardized self-service provisioning of IT resources. This advanced session provides guidance for how to set up an AWS Service Catalog portfolio to enable IT resource self-service at scale.

You can cut down on development time for machine learning projects with third-party algorithms and models in a secure environment using Amazon SageMaker. Learn how in this chalk talk, as we walk through the subscription, evaluation, and deployment process for algorithms as well as pretrained models from AWS Marketplace.

Pre-built model algorithms from AWS Marketplace enable you to train a machine learning model that is specific to your needs. In this hands-on session, learn how to train a machine learning model using a third-party algorithm from AWS Marketplace, Amazon SageMaker, and sample data.

This presentation was recorded prior to re:Invent. Technology leaders want to use machine learning (ML) powered applications to automate processes, improve customer experiences, and curate content.

Doing machine learning and data analysis at scale requires access to high-quality datasets. AWS Data Exchange is a new service that makes it easy to find, subscribe to, and use third-party data in the cloud.