Amazon Personalize now available to all AWS users

Amazon recently unveiled a new fully managed service under the AWS umbrella. Amazon Personalize is a machine learning tool that lets users create private, customized personalization recommendations for applications. The tool is now available to all AWS users. It had been available in preview starting in 2018. If you’re interested in making the most of this service for your organization, here’s what you should know.

About Amazon Personalize

Amazon Personalize makes recommendations to users based on the historical data you have stored in Amazon S3 and the streaming data that are sent in from your applications. It uses machine learning models that provide personalized buying experiences for users. Essentially, it takes the basic idea of the personalized recommendations Amazon already uses on its own platforms and makes it available in a simple form to developers. Amazon says that users don’t need to deal with complex infrastructures or complicated machine learning models to use the service.

Benefits

The ability to create these personalized experiences for customers gives organizations an edge. You can use your own data to send out timely video recommendations within apps or personalized notification emails. These experiences are designed to be more relevant to each individual, thus more likely to lead to a positive outcome for the business or organization behind it.

Additionally, building a personalization engine from scratch can be quite a challenging and time-consuming process. Amazon Personalize gives you a head start on the tools you need to create these recommendations.

How it works

Amazon Personalize users provide unique signals in activity data and demographic information to let the platform create those personalized recommendations. So you can have it look at page views, sign-ups, purchases, customer age, or location. Then you provide the inventory of items that you want to recommend, which can be anything from articles to products. Amazon Personalize then processes the data to identify what is meaningful and create algorithms to optimize a personalization model that’s customized to your customers and inventory. That model is also accessible via an API.

Featured image: Freerange Stock

Annie Pilon

Annie Pilon is a freelance writer specializing in topics related to business, marketing, social media, and tech. She has a degree in journalism and marketing from Columbia College Chicago and currently works and lives in Michigan.

Share
Published by
Annie Pilon

Recent Posts

Trench Tales: Using Intune for mobile device management of privately-owned devices

If your employees use their own mobile devices at work, mobile device management is a…

2 days ago

Another school district hit by ransomware attack

A local school district in Michigan is dealing with an attack from ransomware, something that…

2 days ago

An absolute beginner’s guide to Microsoft Hyper-V revisited

Want to take the plunge into virtual machines? This guide for Microsoft’s Hyper-V will get…

3 days ago

Millions of COVID-19 test results leaked in India

Sensitive COVID-19 test results have again leaked from the Indian government, a situation that could…

3 days ago

Still running Skype for Business? Time to upgrade to Microsoft Teams

Skype for Business may have served you well, but it won’t serve you at all…

3 days ago

Five CISO challenges that must be faced in an increasingly risky world

The CISO is the pinnacle of a career in information security. To be successful in…

4 days ago