AWS re:Invent 2019: Delight your customers with ML-based personalized recommendations (AIM323)
Recommendation engines make targeted marketing campaigns, re-ranking of items, personalized notifications, and personalized search possible. In this session, we deep-dive into using Amazon Personalize to create and manage personalized recommendations efficiently, letting you focus on the real value of the data for your business. We discover how these deep learning techniques have a direct impact on the bottom line of your business by increasing engagement, click-through, satisfaction, and revenue. Learn from customer examples and dive into some live demonstrations.
Видео AWS re:Invent 2019: Delight your customers with ML-based personalized recommendations (AIM323) канала AWS Events
Видео AWS re:Invent 2019: Delight your customers with ML-based personalized recommendations (AIM323) канала AWS Events
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
AWS re:Invent 2019: Innovation at speed (ARC203)2019 re:Invent Global Partner Keynote with Doug YeumAWS re:Invent 2018: [REPEAT 1] Elastic Load Balancing: Deep Dive and Best Practices (NET404-R1)Build Efficient and Accurate Recommendation Engines with Amazon Personalize - AWS Online Tech TalksUnderstanding your Data with Amazon PersonalizeTony Jebara, Netflix - Machine Learning for Recommendation and PersonalizationSearch Your DynamoDB Data with Amazon Elasticsearch Service - AWS Online Tech Talks2012 re:Invent Day 2: Fireside Chat with Jeff Bezos & Werner VogelsAWS re:Invent 2019 - Keynote with Andy JassyAWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)AWS re:Invent 2014 | (SDD405) Amazon Kinesis Deep DiveAWS re:Invent 2019 - Keynote with Dr. Werner VogelsAdvanced Serverless Orchestration with AWS Step Functions - AWS Online Tech TalksAmazon AI Conclave 2019 - Contextual Bandits for Efficient A/B TestingAWS re:Invent 2015: Log, Monitor and Analyze your IT with Amazon CloudWatch (DVO315)Machine Learning for PersonalizationAWS re:Invent 2019: Leadership session: AWS purpose-built databases (DAT209-L)Building recommendation systems using Amazon Personalize | AWS Machine LearningAWS re:Invent 2016: Amazon EC2 Foundations (CMP203)AWS re:Invent 2019: [REPEAT] Best practices for Amazon S3 (including storage classes) (STG302-R)