Twenty-five years ago, casino database marketing was largely about gaming. Know the player. Determine how much free play to give. Measure gaming revenue.
That world has changed.
Speaking at the industry’s premier Casino Marketing & Technology Conference in summer 2026, Andrew Cardno, Co-Founder and Chief Technology Officer of Quick Custom Intelligence, challenged casino marketers to think differently about what their business has become — and what AI could make possible next.
We are now in a world of resorts. Gaming, entertainment, dining, hotels, spas, nightlife, events, and golf all have to work together to create a single guest experience. We have transformed the physical business. Now we have the opportunity to transform how we understand and operate it.
And that changes the question marketers need to ask.
It’s no longer simply, “How much free play?”
It’s “What experience creates the greatest value for this guest?”
Free play is still incredibly powerful. Don’t stop using it. But today it is one part of a much bigger experience. The future is deciding which experience gives the most value. What do my customers want? Why do they remember me? What brings them back?
From Reports to Decisions
For decades, casino marketers have worked with yesterday’s data. We find reports, export data, analyze results, and make decisions.
But people don’t experience the rest of their digital lives that way anymore. They expect things to happen in real time.
That changes everything.
We are moving from reports to decisions, toward personalization and continuous decision-making. AI unlocks that process if you have the data. It gives us the ability to move from asking what happened to understanding why it happened, deciding what we should do, and ultimately taking action.
Think about a question like: Why are my premium slot players declining?
Traditionally, someone has to find the report, export the data, analyze it, and prepare the answer. With AI connected to the right data, you can ask the question and get trends, drivers, explanations, and recommendations.
That is a very different operating model.
Cardno describes four ways to think about where you are:
- Level one – Reports: What happened?
- Level two – Insights: Why did it happen?
- Level three – Recommendations: What should we do?
- Level four – Autonomous action: Run it for me.
At level four, humans aren’t gone. Quite the opposite. You’re managing, verifying, and checking what the machines are doing. You are still the boss.
Less Administration. More Relationships.
There is simply too much work for humans to do everything required to get to real-time personalization.
Marketing teams are already overloaded with the mechanics of running the business: building audiences, creating campaigns, analyzing reports, coordinating across departments, and trying to personalize guest experiences.
AI can take on more of that work.
Instead of a host spending time looking up player history, reading notes, reviewing reports and preparing outreach, an AI system can provide a guest summary, opportunity analysis, talking points and recommended actions.
That means less administration and more relationships.
And imagine extending that personalized conversation beyond your best customers. A guest could ask: What offers do I have this month? What is the spa availability? What’s happening Friday night? What dining experiences are available?
Player development teams already have these incredibly important conversations with their customers. AI gives us the ability to begin scaling that kind of personalized interaction.
Building a Thinking Resort
Here is where this gets really interesting.
Over the years, we built incredible resorts. Then every time we added something, we added another system. We built a hotel and added a hotel system. We added restaurants and point-of-sale systems. We added spas, valet, pools, and entertainment.
We ended up with incredible resorts — and a data silo mess.
AI opens the door to building the unified resort.
The systems and data need to come together in real time. Then we need an intelligence layer and, critically, a knowledge layer containing the decades of gaming intelligence and organizational knowledge that make the casino business work.
Now we can begin to create something different. As Cardno puts it:
“We’re going to make a thinking resort.”
A system that can understand, reason, recommend, and ultimately drive actions. But remember: you tell it what to do. You control it. You refine it.
Trust and Verify
That human responsibility matters because AI will make things up.
If you ask an AI a question without giving it the data it needs, it may estimate, guess, or speculate. Cardno uses a simple rule: “Trust and verify.”
Give AI good data. Put guardrails around it. Keep humans involved.
Cardno is extraordinarily cautious about allowing generative AI to make certain decisions on its own.
“I am extraordinarily paranoid about having an AI decide on how much money I should give a customer, a generative AI. Goodness, no.”
These machines are extraordinarily capable. They are also extraordinarily enthusiastic. Humans need to manage and control them.
We Are the Architects
The question is no longer whether AI is going to happen. It is happening around us.
So, start.
Make your data conversational. Capture your organizational knowledge. Build recommendation systems. Begin AI-assisted execution. Start thinking about automation.
Most importantly, think about what your business is today, not what it used to be.
Casino resorts have already undergone an extraordinary physical transformation. We now have the opportunity to build the digital intelligence to match it.
And we are the people making those choices.
As Cardno put it, “Who’s the boss of AI? You are. Who’s responsible for what it does? You are.”
We are the architects of what comes next.
