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