Artificial intelligence
QCI Launches QCI Resorts, the Unified Intelligence Platform for Resorts
Quick Custom Intelligence (QCI), a leading provider of gaming and hospitality technology, announced the launch of QCI Resorts, a unified intelligence platform designed specifically for modern resort operations.
For decades, the resort industry has pursued a vision of operational unification through integrations, data warehouses, and interconnected software systems. While these approaches connected information across departments, they also created increasing complexity, duplicated data, delayed decision-making, and limited the ability of organizations to fully leverage artificial intelligence.
Built on the QCI AGI Platform, QCI Resorts delivers a single operational environment where hospitality, food and beverage, point-of-sale, marketing, loyalty, guest engagement, operations, and enterprise intelligence operate from one unified intelligence layer. Rather than moving information between disconnected applications, QCI Resorts enables resort operations to function within a shared real-time platform designed for intelligence-driven decision making.
The launch marks a significant milestone in QCI’s vision for the future of resort technology—one where unified operational intelligence replaces fragmented software stacks and where agentic systems can operate with a complete understanding of the enterprise.
“After more than two decades building data warehouses and integration platforms, generative AI enabled for another approach. Instead of connecting more systems together, we can now deliver most resort operations through a single real-time software stack. Gaming remains integrated where regulations require it, but hospitality, marketing, loyalty, food and beverage, operations, and intelligence can operate from a unified platform. That foundation is what makes true agentic resort operations possible,” said Andrew Cardno, Co-Founder and CTO of QCI.
Unlike traditional resort technology architectures that rely on multiple vendors, extensive integrations, and centralized data warehouses, QCI Resorts operates from a shared data model, shared workflow architecture, and shared intelligence layer. This approach enables real-time operational intelligence across the enterprise while providing the foundation required for AI agents to understand, coordinate, and execute actions across resort operations.
“QCI Resorts is not another integration platform. For decades, the industry has pursued the vision of a unified resort platform. The goal was right, but the technology wasn’t ready. Today, advances in AI and agentic systems make it possible to deliver what operators have always wanted: a single real-time operational system where hospitality, marketing, loyalty, food and beverage, operations, and intelligence work together as one, with gaming integrated where regulations require. QCI Resorts is that system,” said Ralph Thomas, Co-Founder and CEO of QCI.
As artificial intelligence continues to reshape the hospitality industry, QCI believes the next generation of resort technology will not be defined by how many systems can be integrated together, but by how effectively intelligence can operate across the entire enterprise.
“Agentic AI achieves its greatest potential when it operates within a complete understanding of the business. The future belongs to systems that can understand the entire resort, not just individual departments. That is the vision behind QCI Resorts,” added Cardno.
QCI Resorts is being introduced as the industry’s first unified intelligence platform purpose-built for gaming and hospitality operations, enabling operators to move beyond fragmented architecture toward a real-time operational intelligence model designed for the era of agentic AI.
The post QCI Launches QCI Resorts, the Unified Intelligence Platform for Resorts appeared first on Americas iGaming & Sports Betting News.
Artificial intelligence
INTERAZAR 2027 moves to IFEMA Pavilion 12 for March 16-17 dates
INTERAZAR 2027 will be held on March 16-17, 2027 at IFEMA’s Pavilion 12 in Madrid, marking the first time the Spanish gaming trade show has used the hall, according to an organizer statement.
The organization described Pavilion 12 as “el mejor y técnicamente más avanzado Edificio del Recinto Ferial,” adding that the space is column-free and includes a range of improvements versus other halls at the venue.
INTERAZAR said the previous edition surpassed 10,000 visitors, and positioned the 2027 event as a key meeting point for Spanish gaming professionals and exhibitors.
In the organizer’s words: “Esperamos que sea una Edición muy especial. Confiamos, entre otras novedades, que se puedan ver los avances que la Inteligencia Artificial está incorporando a todos los segmentos del Mercado del Juego, ya que somos la única Feria en España donde todos esos segmentos están representados“.
While INTERAZAR is primarily a Spain-focused event, the emphasis on AI and multi-segment product coverage may be of interest to suppliers and investors active across Europe and the Americas that track technology adoption and route-to-market strategies in regulated gaming.
The post INTERAZAR 2027 moves to IFEMA Pavilion 12 for March 16-17 dates appeared first on Americas iGaming & Sports Betting News.
ai-tools
SEON adds MCP server and new AI tools for fraud and AML teams Subheadline
Updates include Network Detection, AI Chart Builder and an AI Playbook, with integrations for third-party AI tools via the MCP standard.
SEON has rolled out new AI capabilities for its fraud prevention and AML compliance platform, including a Model Context Protocol (MCP) server designed to connect SEON data to external AI tools. The company said the MCP server, Network Detection, AI Chart Builder and an AI Playbook for Risk and Compliance Teams are available now to SEON customers.
The MCP server is positioned as a way for analysts to use third-party AI tools while pulling investigation context from SEON. SEON said analysts can connect tools including Claude, ChatGPT, Gemini and Microsoft Copilot to “900+ real-time risk signals spanning identity, device, behavioral, AML and IP data,” with signals accessible “in a single call” via the open MCP standard.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
SEON also introduced Network Detection and AI Chart Builder inside its platform. Network Detection builds on SEON’s network analysis features released last year, and “continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses” to surface suspicious clusters. AI Chart Builder generates data visualizations from natural-language questions using live SEON data, targeting reporting and dashboarding needs typically handled through BI teams or spreadsheet exports.
Customer TurboTenant said it is already using the MCP approach in production workflows. “The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
To support adoption, SEON said it is shipping an AI Playbook for Risk and Compliance Teams alongside the releases, including “pre-built agentic skills” such as a fraud analyst daily briefing and a decline spot-check, compatible with the MCP server. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going,” said Mostafa Hassanin, CISO, SMG Marketplace.
The post SEON adds MCP server and new AI tools for fraud and AML teams Subheadline appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Artificial intelligence
SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool
New MCP server, Network Detection, AI Chart Builder and AI Playbook give fraud and AML teams more ways to put AI to work
SEON, the AI Command Center for Fraud Prevention and AML Compliance, has built a platform where flexibility is an accent of its architecture. With SEON, customers can ingest any custom field or data type, build any rule or alert they need, and investigate in system driven workflows that represent the way their team operates. Most importantly, they can choose a rules-based policy, one driven by AI or a hybrid decisioning model that leverages both. SEON has the capabilities to meet teams how and where they actually operate.
Today, the company extends that same flexibility to the use of AI in the fight against fraud and financial crimes. A Model Context Protocol (MCP) server opens SEON’s data layer to whichever AI tool a team prefers. Two additional capabilities, Network Detection and AI Chart Builder, connect SEON’s existing capabilities in automation and business intelligence. To support adoption, an AI Playbook for Risk and Compliance Teams ships alongside them, giving customers a practical starting point for putting their MCP connection to work quickly.
Access to AI Has Outpaced Access to Risk Data
For most fraud and AML teams, AI is accessible but still hard to put to real work. Analysts have ChatGPT, Claude or Gemini at their fingertips. What they don’t have is a clean way to get their investigation data into those environments. Instead, they manually paste in transaction records, customer profiles and risk signals, losing context at every step and creating security risks for their organization. According to the 2026 Fraud and AML Leaders Report, 98% of fraud and AML leaders are already using AI in their workflows. The tools are there. The data pipeline is not.
An Open Foundation for Any AI Tool
SEON’s MCP server addresses that gap. Analysts can link Claude, ChatGPT, Gemini, Microsoft Copilot or any custom agent to SEON’s 900+ real-time risk signals spanning identity, device, behavioral, AML and IP data. All signals are accessible in a single call, so the AI spends its token budget and processing time on analysis rather than pulling data from multiple systems. Because the integration uses the open MCP standard, customers are free to use whatever works best today and switch to a stronger option tomorrow without rebuilding anything.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
“The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
Meeting Teams Where They Are
Some customers are ready to run their entire risk operation through an agentic platform. Others want AI working inside the SEON interface they already use. Most are somewhere in between. SEON supports all team preferences, whether they work inside the platform or outside it.
Network Detection builds on the network analysis SEON released last year, including Similarity ranking and the Network graph. It continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses to identify clusters that are only suspicious when viewed together. Coordinated fraud rings and money laundering networks now surface before an analyst opens an alert.
AI Chart Builder turns natural-language questions about your business into instant data visualizations. Analysts no longer wait on business intelligence teams for dashboard projects or are forced to rebuild reports from spreadsheet exports. They ask a question and the chart appears, built on live SEON data.
These join an AI portfolio SEON has shipped over the past year. Existing capabilities include AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries and regulatory report generation.
“The next generation of fraud and KYC challenges won’t look like the last one. AI agents will interact with our marketplaces as customers, and AI agents will be used to impersonate and exploit our customers as well. Our team needs an intelligence foundation that’s ready for both,” said Mostafa Hassanin, CISO, SMG Marketplace. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going.”
A Fast-Start Kit for Teams Ready to Build
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams. The playbook is a practical guide to connecting AI tools to SEON and building investigation workflows that match how analyst teams actually operate. It ships with pre-built agentic skills, including a fraud analyst daily briefing and a decline spot-check, both compatible with SEON’s MCP server and ready to deploy on day one.
The MCP server, Network Detection, AI Chart Builder and AI Playbook are available now to SEON customers.
The post SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool appeared first on Americas iGaming & Sports Betting News.
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