Disney Data & Analytics Conference 2026
September 14-16, 2026
Disney’s Coronado Springs Resort
Orlando, FL
EPAM ATTENDEES
Timothy O’Leary
Senior Director, Client Partnership
Anthony Funiciello
Senior Director, Account Management
Sergey Kohan
Senior Director, Head of Delivery
Karan Bhardwaj
Senior Director, Data Analytics Consulting
Steven Sabonjohn
Head of Broadcast & Media Supply Chain Consulting
Joseph Solimando
Director, Account Management
If you are looking to turn data and AI investments into faster decisions and real business outcomes, connect with EPAM at the Disney Data & Analytics Conference 2026 for practical insights, live innovation and expert perspective.
The Disney Data & Analytics Conference (DDAC) brings together over 2,500 executives, managers and analysts representing more than 250 organizations and universities, plus all segments of The Walt Disney Company.
Why Meet EPAM at DDAC
Join EPAM at DDAC 2026 to connect with our team of trusted experts and explore how we help organizations move from data strategy to business velocity, delivering real ROI at every stage. See how EPAM turns data into a measurable competitive advantage and gain the insights to drive faster, smarter decisions in a rapidly evolving industry.
Visit Our Booth 105
Stop by our booth 105 for an interactive demo of EPAM's JenAii™ virtual assistant. You'll see real-world use cases of how generative AI drives measurable results.
Attend Our Speaking Session
Don’t miss our speaking session: From Modern Data Platform to Analytics in Your Pocket: The New Blueprint for AI-Powered BI
Business intelligence is changing fast, moving from the static dashboard towards something smarter, faster, more intuitive and mobile.
In this session, EPAM experts will trace the journey from foundational data platform modernization to AI-powered, personalized analytics and show where data and technology leaders can make the leap.
The discussion will help attendees to:
- Rethink the modern data platform by integrating unstructured sources and vector databases to strengthen AI outcomes that traditional BI may not be able to deliver.
- Harness the semantic layer to standardize meaning across the enterprise.
- Evaluate data marketplaces built on curated, rated data products that make trusted data easy to find and reuse.
- Reimagine analytics delivery through a mobile-first experience that puts personalized KPIs and metrics in every user's pocket.
This session is for data leaders, architects and technology decision-makers looking for a clear, practical path to AI-driven BI.
