Foundation First, AI Fast: Governed, Value-Driven Public Sector Analytics That Delivers
Public sector teams responsible for state-to-federal analytics & reporting need measurable AI outcomes, without overbuilding or risking compliance. During this Webinar, Snowflake and Archetype showed how ICON (Identify, Calculate, Optimize, Navigate) translates use-cases into a 60–90-day plan, and how MDAR (Modern Data Analytics & Reporting) provides the secure, governed foundation to deliver them on Snowflake, covering data summarization & programmatic data quality/anomaly detection before federal submissions. The result is streamlined analytics & reporting, stronger governance, and faster time-to-value.
Attendees learned:
- How ICON clarifies scope, value, and a near-term roadmap (workshops to blueprint to plan).
- What MDAR provides out of the box (security controls, reusable models, BI-ready patterns) to shorten time-to-value on Snowflake.
- Three ready AI patterns: case summarization (contact centers/casework), data-quality anomaly detection (before federal submissions), predictive trend surfacing (performance/compliance KPIs)
- Governance guardrails (e.g., NIST 800-53/ARCH-AMPE (MARS-E) that make AI adoption audit-ready across Federal and State.
- A 60–90-day path: ICON Inspire/Blueprint/Roadmap - MDAR QuickStart on Snowflake programs.
Speaker Details
Erica Reuter, RVP, US Public Sector Solutions Engineers, Snowflake
Josh Kreiger, SVP Public Sector & Operations, Archetype
Farris Jabber, VP Innovation, Archetype
Amanda Machia, Senior Manager, Archetype
Event Topic
Artificial Intelligence, Big Data, ModernizationRelevant Audiences
All State and Local Government, All Federal GovernmentOther Agency
Other Federal Agencies