Empowering Analysts With No-Code Machine Learning
summary
Claims analysts can build supervised models without code using Qlik AutoML, with automatic feature engineering, algorithm selection and hyperparameter search, plus SHAP values for per-record explainability. Data pipelines push SQL into Snowflake/Databricks and connect to over 100 sources; a data catalog and visual prep handle last-mile cleaning. Models get one-click deployment and deliver real-time API predictions, and deployed models embed in Qlik Sense dashboards — demo shows the workflow runs end-to-end.
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chapters (14)
- 0:00Intro
- 0:47Empowering Analysts
- 1:43How can we do that
- 2:05Getting the right data
- 2:40Click Data Services
- 4:47Data mart
- 5:15Data catalog
- 5:53Data analysts
- 6:26BI tool
- 7:13AutoML
- 10:02AutoML Scores
- 10:26Understanding AutoML Models
- 11:23Deploying Models
- 13:53Embedding Models
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