Data Ingestion Efficiency - Data ingestion process improved from approximately 3 weeks to less than a day with Llama Cloud [1] - In-house solution previously took weeks to incorporate new data into agents [2] AI Solution & Integration - AI is used to improve maintenance, supply chain optimization, smart operations, health and safety, and commercial efforts [2] - Llama Index integrates seamlessly with internal systems for building tools and agents [3] - Llama Index integrates well with existing stack such as Databricks and MLflow [5] Performance Improvement - Observed a 20% improvement in chunk relevance and accuracy without changes to downstream agents [4] - Llama Index helps to extract and structure data from high technical dense documents [4] Customization & Development - Llama Index provides a level of abstraction and customization that allows extension with in-house modules without disrupting development [5]