Unsupervised Machine Learning and smart data compression help AI deal with big data · TechNode

As the use of big data grows, data protection and AI's role in smart management of data are becoming increasing concerns. In the near future, a trend in the data tech field is more than reactions or legislation that will establish and consolidate proper rights regarding data use cases. Rather, data scientists and startups are taking a greater leap – enabling machine learning to detect any potential data fraud before it takes place and building fast data storage engine. Yu Fang, co-founder and CTO at data fraud and abuse detection startup DataVisor, and Guo Kuan, CEO of Terark, a leading Chinese data storage startup, discussed Big Data, AI, and Data Protection on July 3 at TechCrunch Hangzhou. "People are more familiar with supervised machine learning," Yu, a former member of Microsoft's research team, said when explaining the initiative of her team's Unsupervised Machine Learning (UML) technology.