- Overview
- Introduction to Platform
- A customer experience powered by Experience Platform
- Behind the scenes: A customer experience powered by Experience Platform
- Experience Platform overview
- Key capabilities
- Application and Intelligent Services
- Integrations with Experience Cloud applications
- Key use cases
- Basic architecture
- Using the Platform user interface
- Roles and project phases
- Authenticate to Experience Platform APIs
- Getting started: Data Architects and Data Engineers
- Import sample data to Experience Platform
- Administration
- Data Governance
- Data Ingestion
- Overview
- Batch ingestion overview
- Create and populate a dataset
- Map a CSV file to XDM
- Streaming ingestion overview
- Create an authenticated streaming connection
- Create a streaming connection (UI)
- Create a streaming connection (API)
- Streaming record data
- Streaming time series data
- Streaming multiple messages
- Dataflow monitoring
- Monitoring dashboard
- Web SDK tutorials
- Mobile SDK tutorials
- Debugger tutorials
- Data Science Workspace
- Overview
- Architecture
- Load data in JupyterLab notebooks
- Query and discover data in JupyterLab notebooks
- Exploratory Data Analysis
- Recipes, models, and services overview
- Build a model using the recipe builder template
- Analyze model performance
- Create and publish a trained model (UI)
- Schedule automated training and scoring for a service
- Enrich Real-time Customer Profiles with machine learning insights
- Package source files into a recipe
- Import a packaged recipe (UI)
- Import a packaged recipe (API)
- Destinations
- Destinations overview
- Create destinations and activate data
- Activate profiles and segments to a destination
- Integrate with Google Customer Match
- Configure the Azure Blob Destination
- Configure file-based cloud storage or email marketing destinations
- Configure a social destination
- Activate data to non-Adobe applications webinar
- Identities
- Profiles
- Privacy
- Queries
- Schemas
- Segments
- Segment Builder Overview
- Create segments
- Create content-based segments
- Create conversion segments
- Create segments from existing segments
- Create sequential segments
- Create dynamic segments
- Create multi-entity segments
- Demo of streaming segmentation
- Evaluate a segment
- Create a dataset to export data
- Enforce data usage compliance for segments
- Sources
- Application Services
- Intelligent Services
- Experience Cloud Integrations
- Industry Trends
Documentation
Create machine learned segments using Real-time Customer Profile
Learn how Data Science Workspace model outputs can be used in Real-time Customer Profile and how to create a streaming segment with your model output data.
INFO
This video is part of a course, Getting Started with Data Science Workspace for Data Scientists, available for free on Experience League!
Additional Resources
- Real-time Customer Profile overview video
- Segment builder overview video
- Data Science Workspace documentation
Resources on adobe.com
Resources
Adobe Account
Change language
Copyright © 2021 Adobe. All Rights Reserved.
