How to Master AI in iGaming Without Losing the Human Advantage
2 days x 3 hours per day 14th & 15th April 2026

AI can predict what players do — but only humans can understand why they do it.
This two-day masterclass separates hype from reality, showing how to use AI intelligently across iGaming — in trading, CRM, marketing, product, and Responsible Gambling — without losing empathy, ethics, or creative control.
Participants will learn what AI really is (and isn’t), how it thinks, and how it learns from data. You’ll explore where automation adds value — and where it quietly breaks trust or emotion.
Through real iGaming examples and neuroscience-backed insights, this course teaches how to build AI systems that serve human intelligence, not replace it.
The goal: to give your team practical clarity, emotional intelligence, and a competitive edge in an
industry where automation is everywhere — but understanding is rare
Why Take This Course
By the end of this masterclass, participants will:
Clearly understand what AI and is not — in plain, practical language.
Know where AI belongs in iGaming — and where it doesn’t.
Learn how to combine prediction (AI) with perception (human judgment).
Use data ethically — with fairness, transparency, and emotional safety.
Design hybrid human–machine systems that improve performance and trust.
Who is this session for?
Land Based & Online Gaming Companies & Regulators
Operators, Suppliers, Affiliates
CEO, CFO, CRO, CMO, Directors, Heads of Departments
Day 1 — Foundations: Understanding Real Intelligence
How AI really works, where it fails, and how to make it work with human understanding.
What AI Really Is (and Isn’t)
AI vs AGI vs Human Intelligence
The AI Hype Curve — From Promise to Practice
Best and Worst Use Cases in iGaming
Data — The Oxygen of AI
Human + Machine — Finding the Balance
Day 2 — Application: Using AI Intelligently in iGaming
How to apply AI across operations, marketing, and compliance — and measure what really matters.
AI in Trading and Risk Management
AI in CRM and Marketing Personalization
AI in Product Design and UX
AI in Compliance and Responsible Gambling
Measuring AI — ROI, Bias, and Explainability
he Future — Augmented Intelligence