Designing Scalable Intelligent Document Processing Platforms – WI Databricks User Group

Join us on August 18th as Ben Schmirler discusses how to design scalable intelligent document processing platforms. Unstructured data remains one of the largest untapped assets and operational bottlenecks within modern enterprises. Despite meaningful investments in automation, many organizations still rely on manual and error prone processes to interpret documents, emails, and other raw text inputs. Traditional rule based approaches often fail to scale with variability, limiting both efficiency and business impact.

This session positions document processing as a strategic data and AI capability. It compares legacy approaches with modern architectures powered by large language models, retrieval augmented generation, and cloud scale data platforms. Attendees will walk through the design of an end to end intelligent document processing pipeline, from ingestion of emails and attachments to document classification, contextual data extraction, and integration into downstream enterprise systems.

The focus is on building scalable and production ready solutions that improve data quality, accelerate decision making, and unlock operational efficiency.