At the Intercontinental Exchange (ICE) and New York Stock Exchange (NYSE), analysts must quickly interpret billions of daily transactions and dense regulatory documents to detect market manipulation and meet compliance standards. But traditional BI tools can’t keep up with the scale or the complexity. Learn how ICE brings Sigma, Snowflake and Cortex together to dramatically reduce the time it takes legal and compliance teams to find answers. Join us to see how ICE is transforming legacy workflows with Sigma’s scalable Cortex- and AI-enhanced platform.
Partners
Sigma
Heli-Ski
Overview
1900
Sponsored Sessions
Introductory
Breakout Session
Technical Executive
Business Executive
BI / Analyst
Data Scientist
Software Developer
Security Practitioner
Product Manager
Data Engineer
BI & Analytics
2:00pm - 3:00pm
Financial Services
Healthcare and Life Sciences
Technology
2899
Marketplace
Performance & Optimization
Cost Governance
Platform Migrations
Finance Operations
Powered by Snowflake
IT Operations
Monetization
Customer 360
Security
Streamlit
Compliance
Machine Learning
Snowflake Partner Network
BI and Analytics
Cybersecurity
DevOps
Governance
Data Sharing & Collaboration
AI & GenAI
Snowflake Notebooks
Secure Data Sharing
Snowpark ML
Document AI
Streamlit in Snowflake
Cortex AI LLMs
Geospatial or Time Series Analytics
Mon, Jun 2
All Days
Not department-specific
Finance
Sales & Marketing
HR
IT
R&D
Operations
Financial Services (Industry-A)
Healthcare and Life Sciences (Industry-A)
Technology (Industry-A)
AI & GenAI (Topic)
Application Development (Topic)
BI & Analytics (Topic)
Collaboration & Marketplace (Topic)
DevOps & Observability (Topic)
Governance, Privacy & Security (Topic)
Machine Learning (Topic)
Marketing & Customer 360 (Topic)
Platform Migrations (Topic)
BI / Analyst (Role)
Business Executive (Role)
Data Engineer (Role)
Data Scientist (Role)
Product Manager (Role)
Security Practitioner (Role)
Software Developer (Role)
Technical Executive (Role)
OnDemand
2:00 p.m. Monday, Jun 02
Monday, Jun 02
Intermediate
Hands-on Lab
Technical Executive
BI / Analyst
Data Scientist
Product Manager
DevOps
Data Engineer
BI & Analytics
11:00am - 12:00pm
1:00pm - 2:00pm
Not industry-specific
2875
Application Development
Performance & Optimization
Powered by Snowflake
Geospatial Analytics
Snowflake Partner Network
BI and Analytics
Data Engineering & Pipelines
Data Sharing & Collaboration
AI & GenAI
Snowpark Container Services
Snowpark ML
Cortex AI LLMs
Geospatial or Time Series Analytics
Tue, Jun 3
Wed, Jun 4
All Days
Not department-specific
Other (Industry-A)
AI & GenAI (Topic)
Application Development (Topic)
BI & Analytics (Topic)
Collaboration & Marketplace (Topic)
Data Engineering & Streaming (Topic)
BI / Analyst (Role)
Data Engineer (Role)
Data Scientist (Role)
Product Manager (Role)
Technical Executive (Role)
1:00 p.m. Wednesday, Jun 04
11:00 a.m. Tuesday, Jun 03
Wednesday, Jun 04
Tuesday, Jun 03
Top companies use Sigma and Snowflake to build interactive applications, automate workflows and take action customized to their team’s needs — all without writing any code. Join us for a hands-on lab to explore three distinct last mile analytics case studies and identify the commonalities among them. Learn how to execute machine learning models and democratize Cortex LLMs from Snowflake by leveraging scalable code-free apps in Sigma that tackle these last mile challenges. By the end of this lab, you’ll be able to drive AI adoption across your organization with customizable apps that leverage Sigma on Snowflake.
Speakers
Farhad Choudhury
Sr. Director, Enterprise Data & Analytics
Workday
As the Senior Director of Data Strategy & Portfolio at Workday, Farhad Choudhury has deep expertise in Data Strategy, Portfolio Management and Technology. Passionate about leveraging technology to solve real-world business challenges, he has a proven track record of delivering results while leading high-performing global teams. Farhad specializes in driving large-scale corporate transformation initiatives, where technology serves as a key enabler. Before joining Workday, Farhad held leadership roles on Data & Analytics teams across at SGWS, Tapestry (Coach) and Accenture. He holds an MBA from the NYU Stern School of Business.
Durgesh Das
Vice President, Data, Analytics & Governance
Intercontinental Exchange / New York Stock Exchange
Durgesh Das is a seasoned data and analytics leader with over 20 years of experience in data strategy, governance, and policy development. As the Vice President of Data, Analytics & Governance at ICE, the parent company of the New York Stock Exchange, Das plays a pivotal role in driving enterprise-wide data initiatives, ensuring robust governance, and implementing innovative solutions. Das collaborates with engineers and IT leaders to optimize data management and support strategic growth across business units. He has been with ICE for more than 16 years and holds a Bachelor’s degree in Mechanical Engineering and a degree in Management from Indira Gandhi National Open University.