Architecting Enterprise Agentic AI with Qlik for Enterprise Decision-Making
-
31st March 2026
Tuesday -
11 am UAE |
10 am KSA & Qatar -
Online via
MS Teams
-
31st March 2026
Tuesday - 11 am UAE | 10 am KSA & Qatar
-
Online via
MS Teams
SquareOne is hosting an exclusive webinar to explore how enterprises can move beyond traditional analytics and generative AI experiments towards agent-driven AI systems capable of interacting with enterprise data ecosystems. In this session, our experts will demonstrate how organisations can leverage Qlik’s Agentic AI capabilities and Model Context Protocol (MCP) architecture to build scalable AI systems that are grounded in enterprise data.
The session will examine how modern analytics platforms enable AI agents to reason over complex datasets, interact with enterprise knowledge sources, and invoke predictive models to support real-time decision-making. Through our partnership with Qlik, we will showcase how organisations can transform their analytics environment into
AI-ready intelligence platforms capable of supporting advanced
AI workloads.
Key Topics in This Session
Agentic AI Systems
Understanding how AI agents interact with enterprise data platforms to deliver autonomous analytical workflows.
Model Context Protocol (MCP)
How MCP enables contextual orchestration between AI models, analytics engines, and enterprise data systems.
Qlik Answers
Using retrieval-augmented generative AI to ground enterprise AI interactions in trusted organisational knowledge.
Agentic AI with Qlik: What’s in It for You
Deep Dive into Enterprise Agentic AI Architectures
Gain expert insights into how modern enterprises are designing AI architectures that integrate analytics, generative AI, and predictive modelling.
Strategic Discussions with Data and AI Experts
Engage with specialists from SquareOne and Qlik to understand how Agentic AI and MCP architectures are reshaping enterprise analytics environments.
Scalable AI and Analytics Platforms
Discover how Qlik enables organisations to integrate contextual analytics, enterprise knowledge retrieval, and machine learning automation within a unified platform.
Executive Insights on the Future of Enterprise AI
Learn how enterprises are transitioning from experimental generative AI deployments to production-grade AI systems capable of operating within governed enterprise data ecosystems.
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