Financial Services


China's Financial Services Industry Is Banking on AI

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Increasing market competition and economic uncertainties are prompting banks to re-examine customer needs and business processes in order to improve service aptitude and operating efficiency. Banks' massive data accumulation in financial transactions, customer portraits, market analysis and risk control provide a great environment for AI to flourish. In 2018, Chinese financial institutions invested about CN¥160.4 billion (US$23 billion) in technology, an increase of 10 percent over 2017, of which AI hardware and software-related investment accounted for 10.4 percent. The banking industry was the biggest investor in AI-related applications, accounting for 70 percent of all market purchases. A wide range of software programs, including those tasked with precision marketing and intelligent risk control platforms, accounted for two thirds of Chinese banks' AI purchases.


Reshaping Insurance By Means Of AI And IoT

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Creating the accelerated, highly-personalized online service customers demand and quickly developing new products in response to shifting regulatory and market forces won't be possible unless insurance and wealth management companies can fully leverage tomorrow's technology. Taking that leap into the tech-enabled future won't be easy for most companies, whose infrastructure is decades old, but the potential revolutions in risk mitigation, customer experience, and product development are so significant that modernization is not going to be optional. Emerging technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) will reshape all industries. They will cause customer expectations to continue to rise as products and experiences become more personalized. The insurance and wealth management companies that can't meet those heightened expectations will be left behind.


The Future of Money: AI Investors, Crowdlending, and the Death of Cash

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Every day, roughly 60 percent of all market trades are made by computer. When the market turns volatile, this can climb to as high as 90 percent. Robo-advisors are increasingly making this process available to the consumer, saving them time and money as a result. With humans no longer in the transaction chain, fees are slashed. Undercutting the typical 2 percent cut of profits (not to mention 20 percent incentives) charged by a wealth manager, most robo-advisors take around 0.25 percent.


AI, Demographics and Digital Dynamism Will Remake Advisory Industry in the 2020s

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Around the world, from the most established entities with billions behind them down to dorm-room entrepreneurs on a shoestring, there are forces at work trying to disrupt banking, advisory and asset management. Reinventing how money is saved, borrowed, safeguarded and invested has been a draw for visionaries hell-bent on figuring out with certainty how money is made. The wealth management breakthroughs owing to the toil of the disrupter crowd over the past few years -- coupled with rapidly escalating artificial intelligence (AI) achievements at large that can be built upon -- will in the next decade bring dynamic changes to the industry. So that no one ever has to say "wow, didn't see that coming," let's engage in some logical speculation to assess what the 2020s might bring: Even as the largest players (banks and wirehouses) are building programs to deliver premium personal touch services, the new breed of younger clients are going to demand all sorts of tools and features, free, easy and on their phones. The best business models of the future will combine humans and machines, but along the way, do expect new applications to redefine what is possible for self-directed individual investors to be able to accomplish.


AI Talks: Artificial Intelligence for Good

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General Assembly is 2 blocks from the MBTA Red line South Station at 125 Summer St, Boston, MA (at intersection with High St - map here). Show ID at the security desk and come to the 13th floor. There are parking meters along Atlantic Ave and other area streets, but we recommend parking on-site, at the "125 Summer St Garage" at 28 Lincoln St, for $12 after 5 pm.


AI in 2020: Artificial Intelligence? Or just plain artificial? - InvestmentNews

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While some facets of the sci-fi classic have come to pass, such as voice-command technology, and others are currently unfolding, such as the destructive effects of climate change, the dramatic AI advances that fool Harrison Ford still feel a long way off. But that hasn't stopped AI from becoming one of the buzziest terms thrown around by technology and financial services experts. Fintech startups use the word to make products appear cutting-edge and established firms find they have to offer "AI" to remain competitive. The products they are referring to as AI, though, are often little more than new data models or even just outright vaporware -- technology sold on a conceptual level that hasn't been built yet, according to many technology leaders in the advice industry. "There are a lot of packages out there that are more'artificial' than'intelligence'," said Raj Madan, BNY Mellon Pershing's managing director of technology.


The Game-Changing Role Of Artificial Intelligence In Accounting

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Like any other industry, the accounting industry is ever-evolving. We have moved along a lot from the accounting and early auditing systems developed by ancient Egyptians and Babylonians to Luca Pacioli from Italy who was the first one to publish a book on double-entry bookkeeping; followed by the modern chartered accountancy profession that originated in Scotland in the 19th century. Even recently we have seen a major advancement like the forensic audit. So, are you ready to take the next big leap into the future of accounting? If the answer is YES you would now be thinking… "But how?"


IoT News - Three Ways IoT is Going to Revolutionize Personal Finance - IoT Business News

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IoT steadily remains on the march, setting tech trends and reformatting life as we know it. In fact, personal finance is only one of the things that it's going to drastically change. But although attacks on IoT devices were up 280% in 2017, its increasing momentum and strong influence have led analysts to consider it a primary transforming agent for financial services, according to Deloitte. Here are the three major ways IoT is doing just that. Ultimately, the limiting factor that defines what we can do with our personal finances is the personal data that is available.


Automation in banking is finally delivering on digital transformation. - Impact Tactics

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The world is at its peak in the digital revolution and proliferation of the latest technologies. Looking at the massive adoption, implementation, and usage of these fast-rising technologies, it is now safe to say that we are entering into the age of automation. The financial service sector or the conservative industry, as it is perceived to be, has undergone some radical changes over the last few years. It is no surprise that the banking sector has been leading and welcoming automation solutions and innovations, given that it is the sector with the most labor-intensive processes. There has also been a paradigm shift with the way clients prefer to communicate with their banks due to the escalation of digital devices.


Predictions for ArtificiaI Intelligence and Fintech for 2020

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Throughout the past year, the use of artificial intelligence (AI) and other forms of technology within the financial services industry has continued apace. This will increase further as it dovetails with enriched natural language processing (NLP) through 2020 and into the coming decade and lead to more personalisation of services. Indeed, as noted in Crowdfund Insider, the European Union is to invest €100 million in artificial intelligence and blockchain start-ups next year, to boost the EU-wide innovation ecosystem. Globally, the Fintech revolution offers solutions to all manner of issues, and as we see in so many sectors, algorithms and AI can locate data and highlight trends. In doing so, such technologies operate automatically – and therefore can carry out functions much quicker than by human effort – and at a reduced financial cost as technology mitigates the need for large data-crunching teams.