00-Smart-Claims-Introduction
Start here to explore the Lakehouse.
01-Data-Ingestion
01.1-DLT-Ingest-Policy-Claims
Python DLT pipeline to ingest claim and policy data.
01.2-Policy-Location
Ingest the accident images
02-Data-Science-ML
02.1-Model-Training
Train image processing model to assess accident severity
02.2-Batch-Scoring
Batch scoring to generate damage severity assessment
02.3-Dynamic-Rule-Engine
Apply dynamic rule engine to generate insights
03-BI-Data-Warehousing
03-BI-Data-Warehousing-Smart-Claims
Generate dashboards to summarize claims and generate analytics for claims investigation
04-Generative-AI
04.1-AI-Functions-Creation
Utilize Databricks AI functions to generate automated claims summarizations.
04.2-Agent-Creation-Guide
Define an AI agent with the functions you defined in notebook 04.1
05-Workflow-Orchestration
05-Workflow-Orchestration-Smart-Claims
Orchestrate all tasks in a job and schedule your data/model refresh
_resources
00-setup
Helpers & setup.