Incorta | AI Webinar Series 2026

Tuesday, January 6, 4pm KSA.

Agentic AI is transforming how enterprises automate workflows and operationalize intelligence at scale. In this session, Mohammed Aly and Hania will walk you through the core concepts of agentic AI, key frameworks, and practical architectural patterns relevant to enterprise teams. The discussion will cover how agents combine reasoning, tool use, memory, and feedback loops to execute multi-step business tasks reliably, and what this means for enterprise data platforms where trust, governance, and real-time data are critical. Attendees will also learn how Incorta’s operational data engine enables scalable, governed agentic AI solutions.

Tuesday January 20, 4pm KSA.

As enterprises move from AI experimentation to production, scalable design patterns and strong architectures are critical. In this session, Mohammed, Osama, and Abdulrahman will walk attendees through practical, pattern-driven approaches to designing and operationalizing AI solutions using enterprise-grade data. The discussion will cover key architectures such as retrieval-augmented workflows, multi-agent orchestration, decision-support loops, and automated data-quality pipelines, mapped to real business processes. Attendees will also explore high-impact use cases across finance, supply chain, and operations, and see how Incorta serves as the operational intelligence backbone for driving measurable AI ROI.

Tuesday February 3, 4pm KSA.

As AI and agentic systems enter production, robust evaluation and validation are critical. This session covers practical approaches to benchmarking AI across accuracy, reliability, latency, cost, and trust, with emphasis on multi-step agent workflows. We will also discuss production validation techniques, human review, regression testing, and continuous monitoring, and how governed, real-time data in Incorta enables trustworthy evaluation and faster issue resolution.

Tuesday, February 17, 4pm KSA.

As AI and agentic systems become embedded in enterprise workflows, strong security and data governance are essential to ensure trust, compliance, and safe operation at scale. This session covers the core security and governance principles required for enterprise AI, including access control, data protection, policy enforcement, auditability, and lineage. We will discuss AI-specific risks such as uncontrolled data access, shadow AI, and compliance gaps, and how governed, real-time data platforms like Incorta provide the foundation for secure and accountable AI deployment.