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The Equifax security breach was among the worst ever in terms of the number of people affected and the type of information breached. Information such as names, SSNs, birth dates and addresses are considered the Holy Grail of personal data that allows hackers to gain access to anyone’s personal, financial, and health records.
While frequent incidents of security breaches have brought enough anxiety in corporate America, it’s the complexity of managing cybersecurity and addressing unanswered questions that really have enterprises nervous.
Trading is an area of life in which automation has taken off like little other. While speed is undoubtedly a major selling point of robotrading systems, the ability to act rationally and devoid of emotions is also crucial to the success of such systems.
Despite robotrading taking off, however, human analysts are still prevalent in the financial sector, so it remains crucial to ensure that they act as efficiently as possible. Recent research from the University of Singapore explores whether machine learning can be used to help detect undue emotion in traders and help them act (and trade) more rationally.