Predict the future intent of customers with the help of machine learning and predictive analytics, and determine the best action, channel, message, and time to communicate with your customers.

## Who is this for?

  • Anyone who wants to know how to use our advanced Artificial Intelligence and Machine learning tools

Overall topics to go through: 6 Overall estimated time: ∼60 minutes

### 1-3 _AI Basics_

Reading time: 20 minutes

Read about Predictions, the advanced AI-based analytical tool, and learn how to create them with our pre-defined templates.

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1.[Predictions](🔗)Find out **what Predictions are** and learn key terms when working with them.
2.[Predictions in Bloomreach Engagement](🔗)See what benefits can Predictions bring to your business, get to know **the prediction models** and how to read them.
3.[Predictions templates](🔗)Learn how to **create and set up different types** of Predictions.

### 4-6 _AI Advanced_

Reading time: 30 minutes

Learn how to optimize Predictions and read about AI-based Recommendations, the more personalized versions of Recommendations.

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4.[Evaluation and Testing of Predictions](🔗)**Evaluate** Predictions and get key data about their performance.
5.[Custom predictions](🔗)Learn how to **set up custom predictions**.
6.[AI-based Recommendations](🔗)[Types of Recommendations](🔗)[Recommendation Templates](🔗)Read about the **differences between Rule-based and AI-based Recommendations** and introduce yourself to the different use cases you are able to create with them.
7.[Setting Up Recommendation Templates](🔗)Read about relevant **AI-based** Recommendation **models**.
8.[Limitations of Recommendations](🔗)Read about the **limitations** of AI-based recommendation models.

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## Your onboarding is now complete!

You can further leverage your knowledge by continuing with a different learning path to master another area of the tool.

### _Further learning resources_

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[Recommendations](🔗)Read more about the recommendations and their optimization and testing.
[Analytics: Path](🔗)Enrich your Predictions knowledge with knowledge about all Analytical tools available in Engagement.

Find all articles on **AI-based tools** in the [Analyses](🔗) and [Campaigns](🔗) sections of the [documentation](🔗).