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Register here
Sessions
Theater Session:
Tuesday, December 2 | 1pm PT
Jason Hall,
Principal Solution Architect - Qlik
Location: Venetian | Level 2 | Hall B | Expo | Theater 5
All Power, No Pain: Scale Agentic AI Apps in an Open Lakehouse (AIM247-S)
Harness the power of Agentic AI without the data headaches. In this session, you’ll get a practical blueprint for building trusted, scalable AI applications using Apache Iceberg-based open lakehouse architectures. Learn how to fuel your lakehouse with real-time data, ensure data quality for accuracy, and provide a solid data foundation for your AI agents. See how to design systems where agents can seamlessly access data, leverage vector and relational data for enhanced reasoning, and execute complex workflows without bottlenecks. You’ll walk away ready to confidently deploy and scale data for your own agentic AI applications.
Breakout Session:
Wednesday, December 3 | 4:30 PM
Brendan Grady, EVP and GM Analytics Business Unit - Qlik + Juan Hurtado Guzman, Global Director, Data Analytics - Ingersoll Rand
Location: MGM Grand hotel - Grand 116
Hesitate and You’re History: Why You Need Agentic AI Right Now (AIM246-S)
Agentic AI is no longer hype — it’s the next battleground for growth. Winning means the ability to create autonomous, goal-oriented systems and wield data effectively. Companies that execute will outpace the competition; those that don’t will be left behind explaining why they hesitated ... if they’re around at all. Join Ingersoll Rand to discover how they’re using Qlik® to accelerate insights, sharpen AI-driven decisions, and increase productivity — delivering real competitive advantage today while fulfilling their strategic vision of tomorrow’s AI-powered analytics.
Lightning Talk:
Monday, December 1 | 2:00 PM
Sean Stauth, Global Director AI & Machine Learning - Qlik + Vin Dahake, Senior SA Manager - AWS
Location: Mandalay Bay | Level 2 South | Oceanside C | Content Hub | Lightning Theater
Building Multi-tenant global ML SaaS Platform (ISV306)
Get insight into how Qlik built a multi-tenant ML SaaS that processes 100,000 GPU-intensive training jobs monthly with 99.99% reliability. Learn about Qlik’s proven patterns for scaling ML operations across global regions while optimizing costs through dynamic resource allocation. We’ll share the architectural decisions that enabled supporting 2,500 organizations and 167,000 trained models. Essential knowledge for ISVs transforming ML capabilities into scalable SaaS solutions.
Q36.5 Pro Cycling Team Experience
Get ready to ride with Qlik!
We’ve teamed up with the Q36.5 Pro Cycling Team to bring an adrenaline-pumping, data-driven cycling challenge to booth #1727.
Race your peers, track real-time performance on a dynamic Qlik dashboard, and see how data fuels world-class victories. Compete for amazing prizes—including a Zwift stationary bike and official Q36.5 gear—and pedal for a cause: every mile completed supports the Special Olympics.
Experience how Qlik helps Team Q36.5 harness real-time insights to optimize performance and sharpen race strategy. With a unified data app built with Qlik partner Differentia Consulting, the team now operates from a single source of truth—streamlining decisions and powering podium finishes.
Ask us anything: 1:1s with Qlik
Want to talk about data and analytics strategies, guidance for real-world AI, or Qlik's unique vision and how our product roadmap aligns with your goals? We're ready and waiting.
Not sure who to meet with? Reach out to Renee Gentile and we'll connect you to the right person.
One stop, endless possibilities
Visit Booth #1727
See great demos, snag great swag
Keep up with the latest advancements and best practices in data integration, quality, analytics, and AI - plus see what doing data differently means for you.
Not to brag, but...
We are proud to be one of very few recognized by Gartner with the Customers’ Choice Distinction for Analytics and Business Intelligence Platforms.
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Event Location
Qlik Technologies Inc. 211 South Gulph Road Suite 500 King of Prussia, PA 19406 United States
