How AI Turned 80 Years of “Dirty Data” into a Smart City Platform скачать в хорошем качестве

How AI Turned 80 Years of “Dirty Data” into a Smart City Platform

During the CTO Advisor Road Trip, enterprise technology advisor Keith Townsend sat down with: Luke Norris, CEO of Kamiwaza Robin Braun, VP of AI Business Development at HPE to discuss the architecture behind one of the more interesting real-world AI deployments in municipal government. The project centers on the Town of Vail, where decades of historical property records—many stored on microfiche and handwritten documents dating back to the 1940s—created a massive data management challenge. Untitled - March 12, 2026 Using a combination of: • ontology-driven data structures • vector databases • reasoning models • specialized AI models • private AI infrastructure the team built an AI platform capable of transforming messy historical data into actionable insights for municipal operations. In this conversation they explore: • Why “dirty data” is the real bottleneck in enterprise AI • How ontology layers dramatically reduce hallucinations • Why retrieval-augmented generation alone often isn’t enough • The economics of private AI vs cloud token consumption • Using multiple specialized models instead of one giant model • Why moving data to the cloud isn’t always practical at scale • How infrastructure orchestration enables AI deployment in small IT teams The discussion highlights a growing architectural pattern: Bringing intelligence to the data instead of moving the data to the intelligence. Learn more Kamiwaza HPE AI initiatives Town of Vail Smart City project Whitepaper on the Vail AI deployment More from The CTO Advisor https://thectoadvisor.com