Innovation – Finance – Technology
In a world of digital ecosystems, data is the raw material that fuels the digital economy. In order to be a part of this value creation, there is a need to have a clear data strategy. How does one go from the traditional approach to collection, storage and reporting to strategic use of data?
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One of the biggest hurdles for banks is the never-ending growth in complexity and regulations in the compliance department. This is one of the areas in banking where Artificial Intelligence (AI) shows vast promise. As machine learning techniques become more advanced banks are looking to Anti Money Laundering as one of the hot application areas.
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The traditional defense for human financial advisory boils down to a deep faith in the excellence of human reasoning and intelligence, coupled with more or less positive view on the emotional capacity and intuition of human beings. This is now challenged by the changing customer behavior and needs, the emergence of financial technology, and especially, an increasing number of robo-advisory services, perhaps redefining the concept of financial advisory altogether.
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People have long dreamed of building machines that can think and act like humans.
Today’s advances in computer science and other fields look set to make this dream
a reality. But what is artificial intelligence, and what can it do for us?
Our digital data form the basis for new digital products and services, but the competitor is only a click away if consumer trust is not managed properly.
Read More Artificial Intelligence (AI) is likely to provide opportunities to deliver smarter solutions for end users and transform the banks processing capabilities. Last week, UBS invited leaders and experts from the financial industry, fintechs, academia and regulators come together to discuss the future of Intelligent Automation and start to build a common understanding of what a successful approach would look like. I had the pleasure of attending this event and we explored the most relevant issues covering where, when and how this will happen.
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The concept of robo-advice – the use of automation, investment algorithms and an online interface to build and manage portfolios of exchange-traded funds (ETFs) and other instruments for investors – has gained significant attention within the wealth management industry. Is this pure hype or is there a chance robo-advisers will profoundly alter the existing business models by changing the way investors seek exposure and even how portfolio managers manage their funds and discretionary mandates? Will robo-advise do the same for production as mobile did for distribution in wealth management?
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The greatest fear for banks in the changing landscape of financial services is to lose grasp of the customer relationship and become utility commodity providers, or “dumb pipes”. This fear is strengthen by changes in consumer behavior and expectations, regulatory changes such as PSD2, new business models and new technology. Artificial intelligence is one of the technological paradigms that is set to transform financial services in the years to come.
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Artificial intelligence is one of the technological paradigms that is set to transform financial services in the years to come. This includes every aspect of the bank, ranging from customer interaction through chatbots, process automation and risk and credit assessment just to name a few. However, the compliance function is one of the areas where AI will have a profound impact on banking.
Read MoreThis blog post was originally posted at TechCrunch. Artificial intelligence is one of the hottest subjects these days, and recent
Read MoreThis blog post is in Norwegian and was originally published at Aftenposten. Det var de beste av tider, det var
Read MoreThis post was originally published in TechCrunch I have been a huge science fiction fan as long as I can remember, and
Read MoreThe financial services industry is facing massive changes in the years to come, and new technology is creating new possibilities
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