How Data Scientists Can Help Create Personalized Experiences - S904
Closed captions in English, French, and German can be accessed in the video player.
About the session
AI-powered real-time 1:1 personalization at scale is the holy grail of personalization initiatives. Adobe Target provides brands worldwide out-of-the-box capabilities to get started, but sometimes you need to go deeper. With several custom model capabilities, your data scientists can use their domain expertise to control Adobe Target’s decisioning . Join senior data scientist Akash Maharaj as he discusses how data science teams can work effectively with personalization practitioners, common pitfalls in training custom ML models, and how to rigorously evaluate the performance of these custom models.
In this session, discover:
- How Adobe Target uses AI/ML models to deliver personalized experiences in a low-latency, real-time machine learning application on the edge
- The plethora of features that you can incorporate into your models to make relevant, personalized experience selection decisions
- Best practices for on-boarding your own custom model scores or outputs
- How your data science team can use custom criteria in recommendations to "bring your own" recommendations
Technical Level: Advanced
Presentation Style: Case/Use Study
Session Type: Session
Audience Type: Developer, Data Scientist, Optimization Manager
Business Type: SMB
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Tools & resources
Adobe Experience PlatformLearn more
Adobe SenseiLearn more
Adobe TargetLearn more
Customer Success Presented by Guidance
Leveling up the brand experience with product customization