The Full Agenda


Finextra’s NextGen Banking London conference on 16 May will bring together practitioners from across the financial services industry to explore what the AI revolution means for banks – and what financial institutions need to do in the short, medium and longer terms to benefit from AI, and ensure their customers do so as well.

08:00-09:00 Registration and networking

The use of AI promises a new era of disruptive opportunity as it permeates our lives and affects our future. For many industries outside financial services AI is a strategic priority and we will look at its adoption and the impact it has on reshaping businesses. This opening session will discuss how AI is spreading beyond the technology sector, and its consequences for companies and consumers.
AI is already challenging and changing the way financial services companies do business and its greatest impact is yet to come. AI is important but business strategies for its use varies. How is AI disrupting traditional banking models and what role will it play in the future? How should financial organisations react and what is the impact on people, processes and the way companies are organised to compete in an increasingly data intensive industry?
AI is a blanket description covering a variety of increasingly sophisticated tools and techniques such as machine learning, business intelligence, deep learning, natural language processing and use of algorithms. The session will explore the benefits of each and how they create value- why one differs from another and their use in financial services. From chatbots and virtual assistants to the personalisation of data.

10:10-10:55 Coffee break and networking

There is no alternative to AI adoption across the sector. Recent studies show that almost eight-in-ten banks and lenders (79%) said they recognise the value of AI but are short of the expertise and capacity to develop and deploy it within their organisations. What are the implications of this and how are they overcome? How banks can foster the best talent and creative partnerships to deliver the best applications to their business?
Banks turn to the use of AI-powered technologies to improve existing processes and develop new solutions to meet a number of needs. But how do they turn successful pilots and proof of concepts into solutions they can scale and put into production to achieve real results? What business areas benefit most from the application of AI and how do you establish a clear link between them and the measurable value it brings to companies?
The battle against increasingly sophisticated cyber criminals is a major industry challenge. A session on the growing menace of financial crime and how to tackle it through the use of AI to manage vast volumes of data, often in real-time, and deploy pattern recognition to identify unusual trends to detect and prevent fraud. And in an increasingly interconnected world how do we manage our digital identifies and authenticate ourselves more effectively?
As decision-making using AI becomes more accepted, an ethical filter on such programming is crucial. How can you ensure that outputs suggested by an AI model based on pure economics don’t betray the softer strategies of a bank, to avoid bias and discrimination? How do you govern it within an organisation and ‘teach’ AI to align to a bank brand and ethos? How does AI augment the role of the human workforce and how do the two co-exist?

12:45-14:10 Lunch and networking

If you can’t explain what AI models inside your bank are doing and how they reach results that decisions are based upon then they should not be used. How can AI actions be trusted, easily understood and explained? Decisions are often reached on a spread of probabilities but how do you govern and audit the outcome to replicate current controls?
In a digital age how should financial institutions tackle the increased demand of testing software more effectively through the use of AI solutions? Stronger focus must be placed on quality assurance across the development and production of products and services. Testing is complex, time-consuming and costly and yet for many it is still a highly manual process. What are the challenges of traditional testing methods and how does AI support and transform current approaches by assimilating repetitive processes, and deliver verification of results more efficiently?
A panel to draw together the thoughts of the day and look at the future of AI over the next five years. How is the banking sector morphing into wider adoption of AI? How is this transition taking place and what are the effects? How will banks’ business models evolve and how will customers benefit? Specifically, we will focus on the B2B sector and the effect on corporate cash services- should this be a collaborative approach, or a combination of home-grown and external skills and partnerships? What are the gains and challenges for banks?

15:50-16:00 Closing remarks

16:00 Conference close, networking and drinks

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