James Jory

Amazon Q Business is a powerful service that enables you to build and deploy intelligent virtual agents. This chalk talk explores how to extend the capabilities of Amazon Q by writing custom plugins using Amazon Q Business.

As enterprises navigate an explosion of diverse content and data types from structured data to complex technical diagrams, traditional search solutions fall short of meeting modern business needs. This reality demands a new approach that considers content across formats to deliver personalized and actionable insights.

Embark on a transformative journey with Amazon Q. Explore the customer journey from initial AI strategy to successful enterprise deployment, uncovering winning strategies and lessons learned.

Personalization offers organizations the ability to improve customer engagement, conversion, and revenue, but pooling resources to build and manage a high-quality recommendation engine can be challenging. In this chalk talk, dive deep into Amazon Personalize, an ML-powered service you can use to build personalized customer experiences in real time.

Get to know Amazon Personalize better by diving into how you can deliver relevant recommendations while also optimizing for the business outcomes that are important to you. In this interactive chalk talk, learn about Amazon Personalize and discuss best practices for delivering low-latency, highly relevant recommendations for your users in real time.

Many Retail & Wholesaleers struggle to implement effective personalization recommendation systems for use on their websites and applications due to data, integration, and resource challenges. But those who implement such systems successfully realize significant improvements in business outcomes such as customer engagement and sales.

In this builders session, you work with an AWS solutions architect to learn how to integrate such techniques as A/B testing, multi-armed bandit, and interleaved recommendation testing into applications to measure the effectiveness of personalization. You use Amazon Personalize to build an end-to-end solution for deploying recommendation models that integrates with measurement techniques and...

Amazon Personalize makes it easy to train machine learning models based on the behavioral data of your customers. However, putting these models into practice across marketing channels to deliver high-quality customer experiences still requires some lifting on your end.

In this session you learn how to deploy the Global Store for Retail into your AWS account as a pre-built, functional, simulated e-commerce platform—seeing firsthand how AWS services specifically function and add value in the retail vertical environment. Through a series of exercises, you learn how to solve business challenges that are most relevant to your environment.

In this hands-on lab, you sit down with an AWS solutions architect to learn how to integrate techniques such as A/B, multi-armed bandit, and interleaved recommendation testing to measure effectiveness of machine learning for personalization. You’ll come away knowing how to build an end-to-end solution for deploying recommendation models using Amazon Personalize that integrates with measurement...