November Chapter Meeting

November 18, 2026
11:00 AM - 1:00 PM

11:00am - Networking
11:30am - Lunch
11:45am - Presentation

(All times are Central Time)

Virtual Attendance Option Available

TICKETS
$20.00 Member Ticket
$30.00 Non-member Ticket

Ameritas
5900 O Street
Lincoln, NE  68521

Description:
This presentation provides an overview of a Retrieval-Augmented Generation (RAG) system being developed for Lincoln Wastewater to make decades of operational and engineering information easier for staff to access and use. It will explain, in practical terms, how documents move from their original repositories through a data pipeline where they are processed, organized, vectorized, and made available for AI-assisted search. Particular attention will be given to the records and information management challenges that directly affect AI reliability, including data quality, metadata, version control, authoritative sources, security, and traceability. The session will highlight lessons from the project and show why effective information governance is a critical foundation for trustworthy AI.

Bio:
Paul Owens is a Digital Solutions Leader at Olsson, leading automation and AI integration across both internal engineering operations and external client deliverables. By operating directly alongside engineering teams rather than traditional IT, Paul identifies real operational efficiencies and areas where automation fits seamlessly. His background in both software and engineering design allows him to serve as a technology evangelist, focusing on upskilling the workforce and helping teams seamlessly integrate current technology into their daily workflows.

Bio:
Warren is an Electrical Engineer and Vice President at Olsson with more than 30 years of experience in instrumentation and controls, SCADA, operational technology, and industrial systems. He works with engineering teams and clients to identify where AI can provide meaningful value and how those solutions can be integrated into existing technical environments. His current work focuses on helping utilities make decades of operational and engineering information more accessible while maintaining the integrity and context of the underlying data.

Most recently, Warren has been working with the City of Lincoln’s wastewater utility to apply AI to utility operations, including a private RAG system that brings together technical documents, operational data, and institutional knowledge. His work emphasizes practical AI solutions, with particular attention to data quality, system integration, governance, and reliable information pipelines.