The 16th ChinaJoy kicked off in Shanghai, China on August 3, 2018. The Global Game Industry Summit was held concurrently. David Ting, Vice President of Engineering from DataVisor, gave a speech titled “How AI Technology Can Improve the ROIs of Acquiring New Users” where he discussed the fake app install problems and introduced DataVisor’s fraud detection technology for the mobile gaming industry.
In recent years, many mobile applications, including mobile games, have expanded to the global market. However, as they expand, fake traffic is becoming a growing problem that has long plagued many game developers. It directly results in the waste of marketing resources, making it impossible for developers to have real control over the ROIs of acquiring new users.
With AML compliance becoming increasingly complex and consequential, new technologies are needed to improve detection rates and reduce costs. Aite's Julie Conroy discusses how DataVisor's Unsupervised Machine Learning platform can help in her new Impact Note.
DataVisor was featured at the Mountain View Tech Showcase along side other leading MV-based companies like Facebook, Google, LinkedIn, and Intuit.
In response to a large number of data leakage incidents in the era of blockchain and artificial intelligence, countries have proposed higher data compliance requirements. How companies proactively deal with complex and rampant fraud attacks has become an important issue of increasing concern.
Yinglian was invited to speak about how DataVisor stops Fraud and Abuse with Unsupervised Machine Learning at the 2018 Microsoft Startup Showcase.
DataVisor's Director of Strategy Igor Bidny discusses cutting edge trends and techniques for applying machine learning to fraud investigation. With the rise of coordinated, sophisticated attacks, taking advantage of the latest big data and machine learning technology is ever more important.
The DataVisor report provides the latest insights into trends in global fraud activity and attack techniques. Last quarter, we uncovered a total of 900 million malicious activities and transactions. The report reveals dramatic growth in fraud infrastructure, with fraudulent accounts growing by 50% from Q4 2017 to Q1 2018.
DataVisor's Yuhao Zheng and Boduo Li share advanced techniques for managing thousands of spark workers to analyze billions of events at a time, including clustering workers and automated, optimized management of DataVisor's spark infrastructure.
DataVisor's Ting-Fang Yen and Arthur Meng present a novel deep learning technique for scalable online fraud detection among billions of users.