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Christian Percy, BetBuddy Lead Researcher, presents new BetBuddy research that is making complex machine learning algorithms that predict harm understandable to operators, regulators, and researchers. They are opportunities to learn. BetBuddy development staff are committed to learning and personal growth. Peer-reviewed journals. Artur Garcez, Reader in Neural-Symbolic Computation and BetBuddy collaborator, explains how sophisticated machine learning algorithms are helping the industry to improve player protection. Tillman Weyde is an expert in machine learning, with applications to music and audio. Is there a danger that RG becomes too marketing oriented? The most valuable resource we have is our people. How trustworthy are they? We are open-minded and experiment to back-up our instincts. Reflecting on past issues are not opportunities to level blame. We value learning from our experiences. These projects are undertaken The projects are being undertaken by MSc Data The event consisted of panel discussions, workshops, Identifying anomalous play in real time 28 Jan by Rex Yung. End-to-end Solution and Service. Garcez has an established track record of research in Neural Computing and AI. Everyone in the team is responsible for the quality of their work whether that is testing their code, writing clear documentation, or presenting technical solutions to customers. Every day we tackle big data problems in London's Tech City, one of the world's fastest-growing spaces. Ongoing player interaction is a key requirement from regulators. At BetBuddy we think critically about data. Read about the BetBuddy team. Available positions. Our customers, which include some of the worlds largest B2B software suppliers and government-run organisations, entrust us with sensitive, confidential business data, and we are committed to providing the strongest available security for that data. Interactive demos. BetBuddy works seamlessly with the IMS Camaign Manager, meaning you can deliver highly personalised and focused Responsible Gambling messages in real-time via any channel at key trigger points in-game, or via email or SMS. Simo Dragicevic has served for 20 years in the computer software and consulting industries. We love to dive deeper to see what we can learn - we challenge assumptions. Simo gives examples of Playtech's research in this space The summit focuses on educating attendees on AI and explaining how it is being This year's Autumn Background - Moving to Real-Time In July , BetBuddy initiated three research projects focused on using data science and artificial intelligence AI techniques to explore new ways industry can identify players at-risk. This means we develop the products and services that our customers need not the products we hope they need.

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Leave us your details and we'll send you a copy of our case study. Published in McGill University's Youth Gambling newsletter this article discusses strategies and opportunities for gaming operators to adopt responsible gaming analytics within their operations.

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As a team, we value creativity and personal growth, and that comes through whether we're on-stage speaking about our work, or rolling out a shiny new feature. He will discuss considerations for choosing machine learning platforms for Responsible Gambling algorithms. What is the impact on RG goals and programs? BetBuddy is a big data analytics platform for the gaming industry. We do not dump responsibility for quality on a QA team.