AI in Banking : Challenges, Opportunities and Future

Abstract: A practical look at the a range of AI techniques applied in the finance space (including RPA, Data Analytics, Chatbots and Machine Learning) exploring the challenges with their adoption in the real-world, but also the opportunities that exist for utilizing them. The final section will look to the future and predict the trends we will see in the coming years taking in to account topics such as GDPR, Open Banking and the power of Deep Learning.

Bio: Arif is a Principle Consultant within the Capital Markets practice at Capco, based in London. Arif heads up the Machine Learning Practice under Capco's research and development team, defining and delivering innovative solutions to our clients that leverage the latest technologies.

Prior to leading the ML practice, Arif spent over 10 years gaining hands-on experience of all aspects of transformational change programmes across 3 Tier 1 Investment Banks. Arif has delivered both internal and client-facing solutions, ranging from back-office trade confirmation workflow platforms, to intraday margin forecasting tools via a client portal. During this time Arif has held a variety of roles ranging from a software developer through to business analyst and more recently a program manager. As a program manager Arif has successfully run multi-million, multi-year programs in the most complex environments, managing teams of over 60 staff across the SDLC, and delivering robust solutions for business sponsors and global operational users to time and to budget.

Arif has a passion for the Agile delivery of projects and has a particular interest in applying AI, ML and RPA to solve real business problems. Arif has an MSci in Computer Science from University College London, specializing in Artificial Intelligence and Machine Learning. Arif is a certified Managing Successful Programs (MSP) Practitioner.

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