The Future of Machine Learning: Automatic Graph-based ML

By Susan Hu

Artificial Intelligence (AI) has made rapid advancements in recent years, especially as big data becomes more available and computing capability improves tremendously. Machine learning (ML) is an area of AI where machines are trained by algorithms and autonomously, continuously learn from data to improve their performance in problem solving.

Anti-Money Laundering (AML) in the Artificial Intelligence (AI) Era

By Susan Hu

According to the United Nations Office on Drugs and Crime (UNODC), the estimated amount of money laundered globally in one year is 2 - 5% of global GDP, or $800 billion - $2 trillion U.S. dollars. As stated by Thomson Reuters, in the U.S. alone, financial institutions are currently spending about $8 billion U.S. dollars a year on AML compliance.

10 Remarkable Ways AI is Transforming the Financial Industry

By Susan Hu

Artificial Intelligence (AI) has already brought paradigm shifts across industries around the world. It has enabled teams to operate more efficiently and more effectively. AI is addressing traditionally unsolvable problems and challenges with comprehensive approaches, providing new space for innovation.

Graph Computing - the Next Big Wave in AI

By Susan Hu

Whether we are aware or not, Artificial Intelligence (AI) has already been powering aspects of our work and day-to-day life over the last few years. It seems to be only a matter of time before we will live in an AI-powered new world.As AI hype rises, we can't help but wonder what the ...

Is Your Business Immune to the Next Gen Cyberattacks?

By Susan Hu

Earlier this month, four members of the Chinese military have been charged with hacking into the computer networks of the Equifax credit reporting agency and stealing sensitive personal information of 145 million Americans.

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