How do you operationalise Artificial Intelligence in Banking and Financial Markets?
There is much discussion in the banking and financial markets sector these days about Artificial Intelligence (AI). “Robo-Advice” in particular is generating a lot of hype in the industry, with a swath of new funds pushing their AI-based programs to end investors, promising excellent returns. Investment Banks are also increasingly looking at how predictive analytics and machine learning can improve profitability by providing assisted decision-making in the sales/trading environment.
The challenge for banks is how to do any of this in a differentiated way, particularly as many - with their legacy architectures and organisational structures - aren't ideally set up for integrating AI-based systems. With other complexities in terms of end users, asset classes, instruments, risk and regulations, what are the implications - and practicalities - of banks trying to operationalise AI?
Software AG, in conjunction with The Realization Group, is creating an article which explores how banks and financial institutions are addressing these new challenges. We will also be hosting a series of events where some of the sectors best and brightest will be discussing the barriers and growth opportunities that this new technology will bring.
Register your interest now and be first to receive our in-depth article and to be considered for taking part in the debate at our series of events moving forward.
Register your interest here
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