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May 18, 2026 by Avaap

Snowflake Summit 2026 brings together a wide range of sessions across AI, data engineering, and analytics, showcasing how the platform is being applied and extended in real-world environments. 

For Avaap, this year’s Summit is about how organizations are putting Snowflake to work: applying AI in real workflows, enabling teams with the right tools, and doing it in a way that’s governed and sustainable. As a consulting partner focused on helping higher education, government, and nonprofit organizations turn data investments into measurable outcomes, these are the conversations we pay closest attention to.

Below are a few sessions our team is especially looking forward to—both for what they demonstrate and the practical discussions they tend to spark.

1. Public Sector AI in Action at Snowflake Summit: Ohio Department of Taxation

Session: Ohio Tax: Call Center Analytics, Call Transcription and Agentic Workloads (AI230) 
Speaker:
Budwhite Zhang, CDO and Deputy CIO, State of Ohio Department of Taxation 
Date & Time:
 Monday, June 1 | 4:00–4:45 PM PDT 

This session offers a clear example of AI being applied within a regulated public sector environment. The Ohio Department of Taxation uses Snowflake Cortex to analyze call center transcripts, improve service consistency, and better understand taxpayer needs. 

What stands out is how directly this connects AI capabilities to an operational workflow — turning unstructured conversations into structured, usable insight. It’s the type of implementation that often becomes a foundation for additional use cases, from service optimization to fraud detection. 

Why we’re interested: 

  • A real-world application of AI in a government setting  
  • Practical use of unstructured data to drive outcomes  
  • A repeatable pattern that can scale across use cases  

2. Extending Snowflake with AI Apps and Analytics Workflows

Session: The Builder’s Guide to Sigma AI Apps: Workflows, Cortex Agents and AI Functions (BI214) 
Speaker:
Senior Solution Engineer, Sigma 
Date & Time:
Wednesday, June 3 | 1:00–2:30 PM PDT 

One of the themes we expect to see across Summit is how Snowflake’s capabilities are extended through its partner ecosystem. This session is a strong example of that in practice. 

Using Sigma alongside Snowflake Cortex, attendees will build a “Sales Pipeline Analyzer” that processes unstructured sales transcripts, extracts insights like deal health and risk, and writes structured outputs back into Snowflake. From there, workflows trigger notifications and dynamically update dashboards. 

It’s a hands-on look at how partner technologies and Snowflake work together to move beyond analysis and into action — enabling AI applications that interact with data, systems, and users in real time. 

Why we’re interested: 

  • Demonstrates how Snowflake is extended through partner tools like Sigma  
  • Shows how AI workflows move from insight to action  
  • Reflects the types of solutions organizations are building today, not just exploring  

3. AI Governance and Trusted Data Foundations at Snowflake Summit

Session: What’s New: Innovations in Data and AI Governance (WN210B)
Speaker:
Snowflake 
Date & Time:
Tuesday, June 2 | 3:30–4:15 PM PDT 

As organizations expand their use of AI, governance becomes more tightly connected to day-to-day development and operations. This session focuses on how Snowflake is evolving its governance capabilities to support that shift. 

Updates to Horizon Catalog, improvements to semantic alignment, and expanded interoperability through open standards all point toward a more unified approach to managing data and AI assets. Capabilities like automated classification, lineage, and data quality monitoring are increasingly central to how organizations maintain trust as they scale. 

Why we’re interested: 

  • Connects governance directly to how AI is built and deployed  
  • Highlights tools that support consistency across complex environments  
  • Reinforces the importance of strong data foundations  

Snowflake Summit Takeaways for Higher Education and Government Leaders

Across these sessions, a consistent pattern emerges: organizations are moving from isolated AI experiments to integrated, operational solutions that are governed, scalable, and tied to real outcomes. 

That’s where Avaap focuses. As a consulting partner for higher education and government organizations, we help teams apply these patterns in ways that align with their data, systems, and institutional priorities. If you’ll be attending Snowflake Summit, we invite you to schedule time to connect with the Avaap Data, Analytics, and AI team using our meeting request form and continue the conversation onsite.

Schedule Time to Connect

Filed Under: Posts Tagged With: data and analytics, Snowflake

April 13, 2026 by Avaap

Workday is a powerful system of record for people, money, and planning. But as organizations mature in their Workday journey, a common question emerges: how do you move beyond operational reporting to enterprise-wide insight without compromising performance, security, or governance? 

For many Workday customers, the answer is Snowflake. 

Snowflake serves as the analytics and AI layer downstream of Workday, allowing Workday data to scale beyond transactional reporting and become enterprise data.

This architecture preserves Workday’s role as the system of record while enabling the depth, history, and flexibility required for enterprise analytics and AI readiness. 

Together, Workday and Snowflake create a modern data foundation, one that supports executive decision-making without placing additional strain on operational systems. 

How Snowflake Extends Workday Analytics Beyond Operational Reporting 

Workday provides a unified operational foundation across HR, Finance, and Planning. Once that foundation is in place, organizations begin looking for broader visibility—insight that spans domains, extends across years of data, and supports strategic planning. 

Snowflake is where that expansion happens. 

By extending Workday data into Snowflake, organizations unlock enterprise-scale analytics while maintaining performance and governance. Workday continues to power day-to-day operations. Snowflake becomes the platform for insight, intelligence, and long-term analysis. 

From Workday System of Record to Enterprise Analytics Platform 

Workday and Snowflake are purpose-built for different, but complementary, roles. Workday excels at operational execution and transactional reporting. Snowflake is designed for analytics at scale, cross-domain insight, and advanced workloads. Together, they enable a clear separation of responsibilities that protect core systems while expanding analytic capability. 

For Workday customers, this approach supports: 

  • Enterprise-wide analytics without impacting Workday performance 
  • Cross-domain insight by combining Workday data with other enterprise sources 
  • A governed foundation for advanced analytics and AI initiatives 

The result is a scalable, future-ready architecture without disruption. 

Enabling Enterprise and Executive Analytics with Workday and Snowflake 

Using Workday and Snowflake together allows organizations to answer strategic questions that operational reporting alone cannot support. 

With Snowflake downstream of Workday, leaders gain access to historical, longitudinal, and cross-functional insights that support planning, performance management, and enterprise decision-making—while Workday remains focused on what it does best. 

Why Workday Organizations Are Adopting Snowflake for AI Readiness 

Workday customers are moving now as several forces converge: 

  • Executives expect insights that cut across people, money, and operations 
  • AI initiatives require scale, openness, and historical depth 
  • Years of Workday data are compounding in strategic value 

Snowflake meets these demands while allowing Workday to remain in the trusted system of record. 

Download the Full Whitepaper 

This blog provides a high-level view of why Snowflake has become the preferred analytics and AI architecture for Workday customers. 

The full whitepaper goes deeper into: 

  • Architecture patterns and governance considerations 
  • Real-world executive use cases 
  • How Avaap brings Workday and Data & Analytics together in practice 
Download the full whitepaper

Filed Under: Posts Tagged With: data and analytics, Snowflake, Workday

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