The world of technology and finance is constantly growing and changing. With data on overload and limited processing power, the Fintech industry is finally ready to meet with AI and we're excited. Turns out we're not the only ones. In a recent Accenture poll, 79% of bankers believe that AI will revolutionize customer service and banking. The beginnings of these relationships are already starting to show their prevalence.

The Cambridge Handbook of Artificial Intelligence (AI) defines AI as a cross-disciplinary approach to understanding, modelling and creating intelligence of various forms. According to Konstantine Arkoudas and Selmer Bringsjord, it is a field devoted to building machines capable of displaying behaviours deemed intelligent, at least in well-controlled environments. A machine that possess intelligence similar with or superior to that of a human poses numerous ethical and legal issues. For example, Nick Bostrom in Superintelligence: Paths, Dangers, Strategies wonders how AI would see the human values and purpose. He suggests that the idea of a machine (with its essence being algorithms) is incompatible with the biological nature of our feelings that set the base for our moral values.

Join us as Dr. Huining (Henry) Cao explores the impact of artificial intelligence on financial markets. Artificial intelligence (AI) is changing driverless car technology, speech recognition, image processing, automatic translation, big data analysis and many other sectors in marketing and finance. One striking example is Google's AlphaGo, a recent algorithm based on AI that has defeated the best human players in Go and Texas Poker, previously thought the last strongholds of human intelligence. Much of the progress comes from the connectionism approach, which models behavior as the emergent processes of interconnected networks of simple units. A major representation of the connectionist approach uses artificial neural networks to simulate human perception, cognition and decision making.