Hear expert data leaders from top financial services firms share insights on navigating the opportunities and challenges of becoming AI-ready with data + AI observability. They'll discuss how they modernize data strategies, tackle governance and compliance, and leverage Snowflake’s capabilities to unlock AI-driven insights. Gain practical approaches to data democratization, risk management and accelerating AI adoption in the highly regulated world of financial services.
Partners
Monte Carlo Data
Black Diamond
Overview
1508
Sponsored Sessions
Introductory
Breakout Session
Technical Executive
Business Executive
BI / Analyst
Data Scientist
Product Manager
DevOps
Data Engineer
MLOps
DevOps & Data Observability
1:00pm - 2:00pm
Media, Entertainment & Advertising
Financial Services
Healthcare and Life Sciences
Manufacturing
Retail & Consumer Goods
Technology
Telecom
Travel & Hospitality
Not industry-specific
2898
Observability
Governance
AI & GenAI
Cortex AI LLMs
Mon, Jun 2
All Days
Not department-specific
Finance
Sales & Marketing
HR
IT
R&D
Operations
Advertising, Media, and Entertainment (Industry-A)
Financial Services (Industry-A)
Healthcare and Life Sciences (Industry-A)
Manufacturing (Industry-A)
Retail and CPG (Industry-A)
Technology (Industry-A)
Telecommunications (Industry-A)
Travel & Hospitality (Industry-A)
Other (Industry-A)
AI & GenAI (Topic)
DevOps & Observability (Topic)
Governance, Privacy & Security (Topic)
BI / Analyst (Role)
Business Executive (Role)
Data Engineer (Role)
Data Scientist (Role)
Product Manager (Role)
Technical Executive (Role)
OnDemand
1:00 p.m. Monday, Jun 02
Monday, Jun 02
Introductory
Theater Session
Technical Executive
Business Executive
BI / Analyst
Data Scientist
Product Manager
DevOps
Data Engineer
MLOps
DevOps & Data Observability
3:00pm - 4:00pm
Media, Entertainment & Advertising
Financial Services
Healthcare and Life Sciences
Manufacturing
Retail & Consumer Goods
Technology
Telecom
Travel & Hospitality
Not industry-specific
2897
Observability
Governance
AI & GenAI
Cortex AI LLMs
Mon, Jun 2
All Days
Theaters are first come, first seated
Not department-specific
Finance
Sales & Marketing
HR
IT
R&D
Operations
Advertising, Media, and Entertainment (Industry-A)
Financial Services (Industry-A)
Healthcare and Life Sciences (Industry-A)
Manufacturing (Industry-A)
Retail and CPG (Industry-A)
Technology (Industry-A)
Telecommunications (Industry-A)
Travel & Hospitality (Industry-A)
Other (Industry-A)
AI & GenAI (Topic)
DevOps & Observability (Topic)
Governance, Privacy & Security (Topic)
BI / Analyst (Role)
Business Executive (Role)
Data Engineer (Role)
Data Scientist (Role)
Product Manager (Role)
Technical Executive (Role)
General Theaters
Monday, Jun 02
3:00 p.m. Monday, Jun 02
Agentic success starts with trustworthy data. In this session, Monte Carlo CEO and Co-Founder Barr Moses will explore how companies can accelerate AI readiness through data + AI observability. Learn why reliable, high-quality data is the foundation for effective AI initiatives — and how first-party data is your greatest competitive boat in the AI race. Barr will share strategies for ensuring data reliability, minimizing risk and scaling AI projects with confidence, drawing on real-world examples from leading data-driven organizations.
Speakers
Cara Dailey
Chief Data Officer
T. Rowe Price
A transformation-driven c-level executive with more than 20 years of experience directing teams overseeing development and launch of challenging and innovative data projects and programs for industry-leading organizations across the U.S. I am an industry expert in data governance and have served as chief data officer for 3 large-cap financial services firms building teams and instilling a fundamental understanding, level of comfort, and empowerment in cross-functional data and analytics initiatives resulting in several significant achievements over the years, including implementation of cloud-based enterprise capabilities that drove both revenue and efficiency outcomes.
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.