phData at Snowflake Summit

Six-time Snowflake Partner of the Year.

Find us at Booth #2202 to talk about modernization, AI on Snowflake, and turning your data strategy into a production-ready Intelligence Platform.

Dates

Jun 1–5

Venue

Moscone, SF

Booth

#2202

Sessions

San Francisco

#2202

Find us in the Snowflake Partner Pavilion at Moscone Center. Bring your toughest data and AI questions.

AI in production in four weeks
Fixed-fee Cortex Code migrations
Cortex Code hands-on lab
Intelligence & agentic MLOps accelerators
phData Forge

#2202

Our Booth

6×

Partner of the Year

Summit Sessions

Jun 1-5

Event Dates

San Francisco

See you in San Francisco

Whether you’re tackling a complex Snowflake migration or exploring how to put AI to work in your organization, you’ll walk away with clear, practical answers.

#2202

Booth Number · Partner Pavillion

Book a Meeting

Book time with our experts

phData brings together some of the sharpest and most approachable minds in Data Engineering, AI, and Machine Learning. Summit is a rare chance to get face time with people who’ve solved problems like yours.

Vincent Yates

Chief Strategy Officer

Julianna Bond

Data Governance Principal

Troy Fokken

Chief Architect

And more phData experts

Data Engineering · ML · Strategy

Book a meeting

Summit Schedule

Dont miss our sessions

Snowflake Summit is packed with forward-thinking sessions and real stories of data innovation.

Mon

Jun

BI110

1:00 PM – 1:20 PM PDT

Future-Ready by Design: Boston Scientific’s Self-Service D&A Op Model

In medical devices, product parity is the norm; advantage comes from how fast you turn data into decisions. This session covers how Boston Scientific’s cardiology division and phData built a self-service data & analytics operating model on Snowflake, shifting data product ownership to the business and enabling thousands of users with trusted, timely insights on a durable, scalable, AI-ready foundation.

Tue

Jun

#1510 (AWS Booth)

12:00 PM – 12:45 PM PDT

From Months to Hours: Building Enterprise Intelligence with AWS AgentCore and Snowflake Intelligence

Enterprise teams want Snowflake Intelligence to feel like a trustworthy “AI analyst,” but they’re often blocked by the expertise and time required to design high‑quality Kimball models on complex operational data. Today, that modeling work can take weeks or months and demands deep business and technical context. In this session, phData will show how our Data Modeling Agent, built on AWS AgentCore and Amazon Bedrock and integrated with Amazon S3, AWS Glue, AWS DMS, Snowflake Linked Catalog, and the Snowflake Semantic Layer, can propose, validate, and deliver complete analytical models from operational sources to Snowflake Intelligence in hours instead of weeks.

We’ll walk through the reference architecture on AWS + Snowflake, demo the agent generating and refining a model live, and illustrate how this pattern accelerates time‑to‑value, improves answer quality for business users, and keeps your semantic layer governed and explainable.

Tue

Jun

AI216

1:00 PM – 1:45 PM PDT

Someone Will: Building AI Agents on Snowflake Before Your Competitors Do

Data teams on Snowflake are at an inflection point: keep AI as a smarter BI layer or use Cortex Agents to roam their Snowflake estates, test hypotheses, and surface revenue, savings, and risk signals. Vincent Yates, Chief Solutions Officer – AI at phData (and former data leader at Uber, GE, and Microsoft), will share how he uses agents and the Snowflake AI Data Cloud to encode business logic, wrap it in governance guardrails, and measure impact so agents don’t just answer questions—they create compounding advantage.