The unit selection problem aims to identify a set of individuals who are most likely to exhibit a desired mode of behavior, for example, selecting individuals who would respond one way if encouraged and a different way if not encouraged. Using a combination of experimental and observational data, Li and Pearl derived tight bounds on the "benefit function", which is the payoff/cost associated with selecting an individual with given characteristics. This paper extends the benefit function to the general form such that the treatment and effect are not restricted to binary. We propose an algorithm to test the identifiability of the nonbinary benefit function and an algorithm to compute the bounds of the nonbinary benefit function using experimental and observational data.

Learn how AI is driving the future of video surveillance technology. See how it can play an important role in mitigating risks and creating a safer environment for organizations. This webinar will highlight the benefits of Artificial Intelligence which includes reducing the occurrence of false alarms during active monitoring, increasing efficiency during forensic review, and reducing storage and bandwidth requirements - all while turning your surveillance into actionable business intelligence. Aaron M Saks, MSIT Sr. Product and Technical Training Manager Mr. Saks is the Sr. His primary responsibilities include managing the development of training and certification programs for various user groups.

There are many stereotypes and preconceptions about artificial intelligence, but AI should above all be considered as a tool, albeit a highly sophisticated one that is constantly evolving and improving as our human intelligence deepens. What makes AI different from any other type of tool is the ability to learn and act accordingly. In the same way that human intelligence has allowed us to flourish as a species by turning our collective hand to pretty much anything, it is the ability of artificial intelligence to improve so many different aspects of our lives that is so exciting. AI is already a day-to-day reality for many of us, from apps that know what kind of music we like without us asking to'personal assistants' on our smartphones or in our homes that can seemingly answer any question we may have in a matter of seconds. Yet these simple examples are just scratching the surface of what AI can do.

The most recent World Economic Forum took place in Davos, Switzerland, in January 2016. The theme was the premise that we're now moving into the Fourth Industrial Revolution. Some of the world's most innovative companies are already moving into the digital age. They're learning to utilize cloud computing and machine learning to revolutionize different aspect of their businesses. This is an enormous opportunity for resourceful businesses to tap into the potential offered by digital listening, or using data in new ways.

The new way of thinking about AI is to see it doing time-consuming tasks, freeing up space for accountants to do the serious thinking and to exercise professional judgement on more complex matters. Despite some people's fears, AI's advocates say it can be a job-creator, not a job-killer. For years, there have been fears that Artificial Intelligence (AI) – smart machines that work and react like humans while having self-learning capabilities – will redefine the role of accountants. Now innovative firms are investing in AI so they can be at the forefront of cognitive technologies. What does the evolution from automation and data-analytics software to AI mean for accountants?

The new way of thinking about AI is to see it doing time-consuming tasks, freeing up space for accountants to do the serious thinking and to exercise professional judgement on more complex matters. Despite some people's fears, AI's advocates say it can be a job-creator, not a job-killer. For years, there have been fears that Artificial Intelligence (AI) – smart machines that work and react like humans while having self-learning capabilities – will redefine the role of accountants. Now innovative firms are investing in AI so they can be at the forefront of cognitive technologies. What does the evolution from automation and data-analytics software to AI mean for accountants?

To understand the real benefits of artificial intelligence, it is instructive to look at why it is so difficult and costly to manage the compliance burden in the traditional way. In the area of AML, for example, financial institutions have transaction monitoring systems that generate alerts when potentially unusual activity is detected. In order to be thorough and avoid heavy fines, the systems are extremely sensitive and thus generate large numbers of false positives. This means that compliance staff must scrutinize each alert, investigate the activity, and determine whether it is unusual and rises to the level of being reportable in the form of a Suspicious Activity Report (SAR). The problem is magnified since financial institutions typically have multiple systems, making it necessary to compile data from numerous sources in an investigation.