Learning from prior decisions and outcomes helps casino operators anticipate table games demand and plan operations.
SAN DIEGO, Nov. 10, 2026 (GLOBE NEWSWIRE) — Quick Custom Intelligence (QCI) today introduced Table Yield Management, helping casino operators anticipate table games demand and plan operations with forecasts powered by a neural learning engine. The engine learns from prior decisions and their outcomes to improve future predictions, putting operational experience to work in planning what comes next.
For casino resorts, the value extends beyond a single forecast. Predictions can be compared with actual outcomes to evaluate performance and guide further training. As additional operational data becomes available, the models can be refined to support the conditions casino teams face.
“What matters for casino resorts is that these neural processes learn from prior decisions to improve their predictions,” said Andrew Cardno, Co-Founder and CTO of QCI. “Table Yield Management puts that capability to work in an operational setting. We’re building on what the operation has experienced to help forecast what comes next, and that creates exciting possibilities for both casino teams and agents that can use those forecasts.”
QCI’s learning engine brings a different approach from a conventional rules engine. Rules engines follow predefined conditions and thresholds within the factors they are configured to consider. Neural networks learn relationships across many interacting factors, allowing complex patterns in operational data to inform predictions.
By applying this capability to table games yield management, QCI is connecting its investment in neural network technology with a practical operational need. The focus is on providing forecasts that teams can evaluate and use in planning, supported by a learning process that can be tested and refined over time.
“Our customers bring deep experience to running their table games operations,” said Dr. Ralph Thomas, Co-Founder and CEO of QCI. “Table Yield Management gives them a way to put that operational history to work in future planning. Our focus is on developing technology around the realities of their business and continuing to expand what they can accomplish with the QCI platform.”
The learning engine also provides a foundation for QCI’s agentic capabilities. Agents can use forecast outputs within operational workflows, helping connect what the models have learned with recommendations and actions. Table Yield Management is the first application of the engine, establishing a starting point for further product development.
ABOUT QCI
Quick Custom Intelligence, Inc. (QCI) develops technology for casino and hospitality businesses and uses agentic AI extensively in its own operations. Its products include the QCI AGI Platform and QCI Resorts™, which brings resort business functions together in a shared operational environment. QCI serves more than 325 casino resorts across North America, Australia, New Zealand, Latin America, and Europe. Its technology supports operators representing over $42 billion in annual gross gaming revenue.
QCI Resorts combines hospitality, food and beverage, marketing, loyalty, guest engagement, and enterprise operations, with connections to gaming systems. A common AI foundation enables teams to work with current operational information, interact with the platform using natural language, and apply agentic capabilities across departments. This approach gives resort teams a coordinated view of their business and helps them act on information across functions.
Dr. Ralph Thomas and Andrew Cardno founded QCI. The company is headquartered in San Diego and maintains additional offices across North America. For more information, call (858) 299-5715 or visit qci.ai.
ABOUT ANDREW CARDNO
Andrew Cardno is a distinguished figure in the realm of artificial intelligence and data plumbing. With over two decades spearheading private Ph.D.- and master’s-level research teams, his expertise has made significant waves in data tooling. Andrew’s innate ability to innovate has led him to devise numerous pioneering visualization methods. Of these, the most notable is the deep zoom image format, a groundbreaking innovation that has since become a cornerstone in many of today’s mapping tools.
His leadership acumen has earned him two coveted Smithsonian Laureates, and teams under his mentorship have clinched 40 industry awards, including three pivotal gaming industry transformation awards. Together with Dr. Ralph Thomas, the duo co-founded Quick Custom Intelligence, amplifying their collaborative innovative capacities. A testament to his inventive prowess, Andrew boasts over 150 patent applications.
Across various industries — be it telecommunications with Telstra Australia, retail with giants like Walmart and Best Buy, or the medical sector with esteemed institutions like City of Hope and UCSD — Andrew’s impact is deeply felt. He has enriched the literature with insights, co-authoring 16 influential books with Dr. Thomas and contributing to over 100 industry publications. An advocate for community and diversity, Andrew’s work has touched over 100 Native American Tribal Resorts, underscoring his expansive and inclusive professional endeavors.
ABOUT DR. RALPH THOMAS
Dr. Ralph Thomas serves as CEO of Quick Custom Intelligence, which he co-founded. An entrepreneur and specialist in applied analytics, he has founded two companies developing products for casino gaming, education, and adult learning. His experience includes creating business intelligence tools for multibillion-dollar casino businesses and helping both individual properties and multi-property operators apply analytics to improve financial performance. Dr. Thomas has co-authored 16 books and more than 80 articles exploring gaming analytics and data science, and his inventions are represented in dozens of patents. His expertise spans the underlying data, analytical methods, and practical requirements of casino operations, informing his approach to building technology for gaming professionals.