Cleaning up Chaos with Magic ETL, AI, and Python

When faced with messy, inconsistent data from multiple systems, how do you bring order and prepare for AI? In this session, Mark Snodgrass from NLC Mutual will share how he tackled two distinct challenges: categorizing claims data into standardized lists and improving AI-readiness with proper context. This session will provide practical techniques to address these challenges and ensure your data is accurate, consistent, and ready for AI-driven insights, automatically.  

Takeaways:

• Eliminate manual processes by using AI, Magic ETL, and Python to categorize and standardize data.
• Gain practical strategies for improving accuracy and consistency in your data sets.
• Discover how Domo Workflows can streamline AI-readiness.