On-Demand Webinar: Watch now
As data volumes and AI adoption accelerate, organizations face the critical challenge of how to ensure trust, compliance, and governance while delivering business value at scale. High-quality, fit-for-purpose data is now a strategic imperative for enterprises. Inaccurate or inconsistent data undermines analytics, ownership, and AI. Enterprises that amplify AI while neglecting data quality often stall or fail outright proving that AI success starts with data integrity. Anomalo, Snowflake, and Hakkōda will demonstrate how integrating proactive data quality, governance, and AI-native design can elevate your data strategy.
In this session:
- Anomalo will show how automated data quality monitoring, built natively into Snowflake, helps detect anomalies and alert teams before issues cascade across AI and analytics pipelines.
- Hakkōda will illustrate how observability, governance, and AI checkpoints—like AI Observability, provisioned throughput, and data stewardship—converge to accelerate trustworthy, production-ready AI.
- Snowflake will share best practices and scalable methodologies for empowering data teams to embed quality, consistency, and governance directly into their data cloud infrastructure and Marketplace ecosystem.
Join us to discover how embedding data quality in Snowflake strengthens trust, drives efficient AI pipelines, and delivers resilient, business-ready insights your stakeholders can rely on.
Speakers
 Jonathan Karon
Partner & Ecosystem Innovation Jonathan Karon leads Partner Innovation at Anomalo, the company reinventing enterprise data quality. He works closely with companies across the data ecosystem to integrate data quality monitoring in key tools and workflows, helping enterprises achieve high-functioning data practices and leverage novel technologies faster. Prior to Anomalo, Jonathan created Mobile App Observability, Data Intelligence, and DevSecOps products at New Relic, and was Head of Product at a generative AI sales and customer success startup. He holds a BA in Cognitive Science from Hampshire College and has worked with AI and data exploration technology throughout his career. |
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Lead Data Governance Analyst Zander Propes is a Lead Data Governance Consultant at Hakkoda, where he helps enterprises modernize their data strategies and establish trusted foundations for analytics and AI. He has led initiatives across healthcare, financial services, and energy, partnering with clients to embed Anomalo’s automated data quality into their Snowflake environments. Zander specializes in making governance and data quality tangible, ensuring that organizations can not only trust their data but also accelerate value creation from it. His perspective blends hands-on technical experience with a business-first mindset, helping clients connect modern tooling to real outcomes. |
 Venkat Suru
FCTO, Principal Data Platform Architect – Apps Venkat Suru has over 31 years of experience in Technology industry solution design and architecture, solution deployment and solution selling across various platforms involving cloud native and traditional applications, hybrid cloud solutions, IIoT, Data Analytics, AI/ML,Managed SaaS, Managed Cloud Security and Infrastructure Solutions |
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Meet with our team to see how Anomalo transforms data quality from a challenge into a competitive edge.