artificial intelligence
Business Wire
Published on : Feb 10, 2025
Qlik® has unveiled key highlights for Qlik Connect 2025, its premier global customer and partner event, taking place May 13-15 in Orlando, Florida. The conference will focus on AI-driven analytics, automation, and modern data strategies, helping businesses unlock value from their data.
A standout feature of this year’s event is the launch of the Qlik AI Specialist Certification, allowing professionals to validate their expertise in:
Predictive AI
Generative AI
AI-assisted decision-making
“AI is transforming every industry, but success depends on people who know how to apply it effectively,” said Chris Powell, CMO at Qlik. “This certification ensures attendees gain practical AI skills to drive real-world impact.”
Qlik Connect 2025 will feature 100+ breakout sessions focusing on AI, analytics, and automation:
AI-Driven Analytics: Learn how AI-powered insights and GenAI in AutoML enhance decision-making and adoption.
Iceberg & High-Volume Data Integration: Explore Apache Iceberg for fast, scalable AI-driven analytics.
Data Quality for AI: Discover how Qlik Talend ensures enterprise data is AI-ready through data governance and integration.
Automation & Scalability: See how Qlik AutoML & Application Automation accelerate machine learning and smart application development.
“These sessions cover everything from Apache Iceberg to AI-powered automation, helping us build stronger data and analytics foundations and drive real results,” said Vincent Siccardi, Director of Product Management, Data & Analytics at Kyriba.
Industry leaders will share how they’re leveraging Qlik to turn data into business value:
Truist: AI-powered decision-making at scale.
Medair: Real-time insights for humanitarian response.
Volkswagen Financial Services: Streamlining operations with AI-driven analytics.
Fujitsu: Powering enterprise-wide AI analytics with Qlik + AWS integration.
Qlik Connect 2025 will equip business leaders, analysts, and data professionals with the skills to scale AI, enhance data quality, and automate workflows—transforming complex data into actionable insights.