Use Cases
AWS and Personalized Product Recommendations
Gartner predicts that the business value created by AI will reach $3.9B in 2022. Understanding customers and being able to launch personalized campaigns for customers with relevant recommendations helps businesses bridge needs of their customers with their relative journeys.
Overview
Gartner predicts that the business value created by AI will reach $3.9B in 2022. Understanding customers and being able to launch personalized campaigns for customers with relevant recommendations helps businesses bridge needs of their customers with their relative journeys.
In this workshop we will be deploying an end to end ML based recommendation engine powered by Amazon Personalize. Amazon Personalize enables builders to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required.
Who should attend: Builders of all backgrounds. Personas include marketers, data scientists, product managers, developers, and the staff that support them.
Agenda
- 10:00 – 10:30am: Overview: Introduce concept
- Success stories: Product Recommendation
- Additional Use Cases: Hospitality AI/ML
- 10:30 – 12:00pm: Deep Dive to a Hands on Lab. Retail and eCommerce
- 12:00 – 1:00pm: Lunch
For more information
Contact:
Leilani Farinas
Executive Director TRUE
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