With plenty of post-recession anti-banking sentiment still lingering, it's common to see fintech and traditional banks framed in oppositional terms. There's some truth to that, especially with disruption-minded digital-only banks, but technological innovations have transformed banking of all stripes -- and nowhere is that clearer than with artificial intelligence. AI has impacted every banking "office" -- front, middle and back. That means even if you know nothing about the way your financial institution uses, say, complex machine learning to fend off money launderers or sift through mountains of data for fraud-related anomalies, you've probably at least interacted with its customer service chatbot, which runs on AI. Like fabric softener and football, banks -- or at least banks as physical spaces -- have been cited as yet another industry that's being killed by those murderous Millennials.

UBS is a Swiss multinational investment banking and financial services company ranked 30th on S&P Global's list of the top 100 banks. In addition to investment banking and wealth management, the company is looking to improve its tech stack through several AI projects. We begin our coverage of UBS' AI initiatives with their project for a virtual financial assistant for their banking clients. UBS partnered with IBM and Digital Humans (formerly FaceMe) to create a virtual financial assistant for its customers. The virtual assistant is a conversational interface built with IBM's Watson Natural Language Understanding solution.

Former Managing Director and Head of Investment Banking in South East Asia for Morgan Stanley (opened their investment banking office in Singapore in 1992). Head of Investment Banking in Asia/Japan and Member of Global Investment Banking Management Committee for Deutsche Bank (formerly called Deutsche Morgan Grenfell) in 1995.

With plenty of post-recession anti-banking sentiment still lingering, it's common to see fintech and traditional banks framed in oppositional terms. There's some truth to that, especially with disruption-minded digital-only banks, but technological innovations have transformed banking of all stripes -- and nowhere is that clearer than with artificial intelligence. AI has impacted every banking "office" -- front, middle and back. That means even if you know nothing about the way your financial institution uses, say, complex machine learning to fend off money launderers or sift through mountains of data for fraud-related anomalies, you've probably at least interacted with its customer service chatbot, which runs on AI. Read on to learn how else AI is transforming the way banks operate, from investment assistance and consumer lending to credit scoring, smart contracts and more.

With plenty of post-recession anti-banking sentiment still lingering, it's common to see fintech and traditional banks framed in oppositional terms. There's some truth to that, especially with disruption-minded digital-only banks, but technological innovations have transformed banking of all stripes -- and nowhere is that clearer than with artificial intelligence. AI has impacted every banking "office" -- front, middle and back. That means even if you know nothing about the way your financial institution uses, say, complex machine learning to fend off money launderers or sift through mountains of data for fraud-related anomalies, you've probably at least interacted with its customer service chatbot, which runs on AI. Read on to learn how else AI is transforming the way banks operate, from investment assistance and consumer lending to credit scoring, smart contracts and more.

AI in investment banking is an immensely powerful tool for unlocking customer insight. Leon Saunders Calvert, Global Head of M&A and Capital Raising, says the benefits are only a few steps away for firms with quality data. In the decade since the global financial crisis, investment banks have seen increased regulation and compliance burdens add to the complexity of doing business. This has led to significant shifts in product profitability and scarcer capital. The emergence of innovative and agile start-ups offering cheaper and faster products and services is an additional challenge to investment banks, whose outdated and inflexible physical infrastructures make digitalization a difficult task.

Can't code, or speak Bahasa? Didn't go to school with a CEO's son or daughter? A robot will take your trading seat. Read on if you want to save your job. The threat from automation is in the flows part of banks' global markets business, the most important chunk of the biggest division of investment banking.

The digitalization of investment banking has created new opportunities, from the automation of workflows to using AI to find hidden M&A opportunities. Leon Saunders Calvert, Global Head of M&A & Capital Raising, explores the latest trends. The fundamental promise of digitalization for most capital raising and M&A professionals is the use of intelligent computing power to make more sense of the world and derive profitable insights from it. But many prosaic challenges stand in the way of implementing such an ambition. We believe a number of tactics are emerging that address some of these capital markets-specific challenges from the digitalization of investment banking.

Organizations that alter their association and culture to join canny mechanization as collaborators, as opposed to individuals substitutions, could receive vital benefits: more dependable execution and understanding, expansion of administrations to beforehand unrewarding markets, (for example, bring down end retail showcases and littler establishments) and proceeding with cost decreases. The future'virtual workforce' inside investment banks will probably include a suite of advances--from fundamental mechanical autonomy prepare robotization through subjective registering and characteristic dialect handling. Not exclusively will this workforce have the capacity to give cost reserve funds, it liberates its human partners so they can concentrate on parts that include the most esteem--from development to customer relations. Simply investigate an extract from this article by MIT Technology Review that turned out half a month back: At its stature in 2000, the U.S. money values exchanging work area at Goldman Sachs' New York home office utilized 600 brokers, purchasing and offering stock on the requests of the venture bank's huge customers. Today there are only two value brokers left.

In the on-going debate over whether Artificial Intelligence, and its allied technology Machine Learning, can completely replace the human brain, many scientists are still not convinced that machines can be trained to both "think" and "feel" like humans. AI research states that when smart algorithms are exposed to patterns that are joyful or positive, they can learn to recognize a "joyful" environment and respond accordingly. Similar experiments with other human emotions may be successful in near future. The hallmark of this learning process is recognition of past patterns. But, when environmental parameters change, can machines mimic the "rational thinking" of a human brain and suitably alter its reactions?