9. How a personal assistant or chatbot provides customer support?
https://aws.amazon.com/chatbots-in-call-centers/
Example of an Amazon Connect contact center using Amazon Lex for natural conversations
Artificial Intelligence (AI) - Using Natural Language Understanding (NLU)
and Natural Language Processing (NLP), Amazon Lex bot processes
voice or text input in conversation with the end-users
https://www.mesalliance.org/2020/01/31/aws-innovations-
and-results-strong-again-in-q4-amazon-says/
10. How do you get personalized recommendations during online shopping?
Personalized recommendations tailor recommendations to users behaviour, preferences,
history, boosting user engagement and satisfaction in real-time.
Similar item recommendations recommends similar items from your catalog, in real-time,
based on user behaviour to create experiences such as -
users who watched ‘x’ also watched ‘y’.
11. Mujitha Bai K B
WhizThinkers
https://whizthinkers.com
THANK YOU!!
Editor's Notes
Amazon Personalize enables you to improve customer engagement by powering real-time personalized product and content recommendations, and targeted marketing promotions. Using machine learning, Amazon Personalize creates higher-quality recommendations for your websites and applications. You can get started without any prior machine learning experience using simple APIs to easily build sophisticated personalization capabilities in just a few clicks. Amazon Personalize will process and examine your data, identify what is meaningful, allow you to pick a machine learning algorithm, and train and optimize a custom model based on your data.
