Offer Your Customers Real-Time Personalized Recommendations Using Machine Learning Using Machine Learning

Friday, June 19, 2020 - 1:00pm to 2:00pm

​​​​​​​Online Event Location:  https://pages.awscloud.com/AWS-Online-Tech-Talks_June-2020.html?webinar=2020_0614-MCL&trk=el_a131l0000058pvnqau&trkCampaign=June_2020_0614-MCL&sc_channel=el&sc_campaign=pac_Q2-2020_exlinks_events_OTT_06DGAB&sc_outcome=Product_Adoption_Campaigns&sc_geo=NAMER&sc_country=mult&trkcampaign=webinarseries&category=MCL 

Service Deep Dive | Level 300

As consumers demand online engagement increases, businesses of all sizes are struggling to meet their users' expectations of personalized recommendations in online streaming content, online shopping, and digital media libraries of books, articles, music, and podcasts. Amazon Personalize enables you to add a powerful machine learning based personalized recommendation engine into your platform in just a few clicks to generate highly personalized recommendations for all of users within days. In this tech talk, we’ll share how retailers, media, and entertainment providers can learn from the over 20-years of personalization experience from Amazon.com. Additionally, we’ll show how, with no prior machine learning experience, you can start creating A/B tests to see the impact of Amazon Personalize on increasing user engagement with your recommended products and content.

What you'll learn:

Learn how to improve engagement on recommended products
Learn how to use personalized rankings to address business priorities
Learn how to use machine learning to improve your similar items recommendations
Speaker(s) Chris King, Solutions Architect, Amazon Web Services

Who Should Attend: Developers, Directors of Engineering, Data Scientist, VP of Product Management, Product Managers, VPs of Marketing, Directors of Marketing, Directors of Product Management