#210: Maricopa County's AI Teams Save 100s of Hours (Plus AZ's Child Safety 30-Year Data Strategy & Building AI for Service-First Gov.)
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Featuring:
Aaron Judy, Chief of Innovation and Emerging Technologies, Maricopa County
Steven Hintze, Chief Data and Product Officer, Arizona Department of Child Safety
Kyle Patel, Lead Product and Engineering, Polimorphic
What You’ll Learn:
How to build working AI prototypes in 10 minutes that impress stakeholders and scale to production (like Maricopa County's animal contact tracing system)
Why 30 years of unstructured government data delivers better AI results than traditional structured approaches—and how to leverage it
The proven framework that helped one county identify 100+ AI use cases across 55+ agencies and avoid the "SQL query disguised as AI" trap
How AI can recover 100s of hours worth of staff time by eliminating repetitive tasks while improving citizen experience
The composable architecture strategy that lets you completely rebuild your AI stack within 30 days of production release without losing momentum
Timestamps
(06:00) Why 30 Years of Unstructured Data Beats Clean Databases
(10:00) Beyond Press 1 Press 2: True AI Automation vs. Labor Shifting
(13:00) The 10-Minute Prototype That Impressed Animal Care Directors
(18:00) What Vendors Get Wrong: Extracting vs. Creating Value for Government
(22:00) AI as Therapy: Validating Difficult Caseworker Decisions
(30:00) The Mom Test in Government: Solving Real vs. Requested Problems
(34:00) Innovation Roadshows: Getting 55 Agencies to Embrace Emerging Tech
(37:00) Future Vision: Decentralized Identity and 24/7 Government
(42:00) Amazon-Level Service: Building Public Trust Through Better Technology
(47:00) Failing Fast with Grace: Building Psychological Safety for Innovation
Connect
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