Globally there are 2.2 billion active gamers, and 47 percent of them shell out cash while they play. And 100 percent of them are at risk from fraudsters who rip off everything from a gamer’s identity to their credit cards, online goods, and trust in your company. With every instance of fraud, your reputation takes a nose dive, driving away customers and directly impacting your bottom line. Learn more about how machine learning and AI can keep your game and players safe from increasingly aggressive online criminals.
Scott Adams – Panelist
Former Director of Fraud & Risk – Riot Games
Scott was the director of Fraud and Risk at Riot Games, an international online game company with millions of users worldwide. In his years with Riot as the first head of fraud, he took the company from being fined by Visa/MasterCard to good standing in just a few months.
Jeff Sakasegawa – Panelist
Trust and Safety Architect – Sift Science
Jeff Sakasegawa is a Trust and Safety Architect for Sift Science. He has spent over ten years fighting fraud for Google, Facebook, and Square. In addition, his last two years at Square were spent managing teams covering BSA/AML reviews, quality assurance, identify verification, and host of other compliance related matters. He has a passion for cross functional and scalable solutions that delight as opposed to simply deliver.
Dean Takahashi – Host
Lead Writer – GamesBeat
Dean Takahashi is lead writer for GamesBeat at VentureBeat. He has been a tech journalist for more than 25 years, and he has covered games for 20 years. He has been at VentureBeat since 2008. Prior to that, he wrote for the San Jose Mercury News, the Red Herring, the Wall Street Journal, the Los Angeles Times, and the Dallas Times-Herald. He is the author of two books, “Opening the Xbox” and “The Xbox 360 Uncloaked.” He organizes the annual GamesBeat and GamesBeat Summit conferences. He lives in the San Francisco Bay Area.