AI in Financial Services

Given its knowledge heavy status, financial services is a prime sector for AI to gain a strong foothold, with much talk of the important role that AI could play in this regulated industry.

We are collaborating with the FinTech Innovation Lab for the July 9th LNETM that will look at the opportunities and challenges associated with adopting AI in Financial Services. We’ve brought together a top-quality panel of industry experts to discuss this topic including:

• Aysegul Erdem (Head of Analytics Product Management at LSEG)
• Damian Sutcliffe (Fintech Advisor & Investor, former EMEA CIO of Goldman Sachs)
• Gavin Stephenson (Head of Data & AI at Accenture UKI)
• Heikko Rautila (Head of OP Lab at OP Financial)
• Lexy Kassan (Lead Data & AI Strategist at Databricks) – moderator

We will also be joined by the FinTech Innovation Lab to showcase their 2024 graduates before the event. There will be an introductory panel discussion from some of the Lab graduates, moderated by Katie Hobden from Accenture, and short flash talk presentations from:

Boltzbit’s platform helps businesses build their own GenAI to unify data, discover insights and transforms their operations by creating the first Large Language Model Architecture that combines Boltzman machines and Attention Neural Net.

Encloud offers encrypted GenAI for regulated industries, with highly secure technology for deploying custom Generative AI on encrypted data. They have designed its products to be easy to deploy for modern enterprises with heterogeneous IT architectures and seeking to deploy complex workloads like LLMs (Phil Holbrook – CEO).

TitanML helps regulated organisations to effortlessly, deploy securely, and run anywhere. Their Titan Takeoff Inference Stack is the best choice for enterprises deploying large-scale generative AI applications in production, offering a combination of simplicity, strong performance, and cost efficiency at scale (Meryem Arik – CEO).

Fluence World has produced a Machine Learning Framework designed to expose causal relationships between the data and features in the model and their relative impact on complex commercial outcomes. Their algorithms allow companies to distil large volumes of unstructured data in free text or structured formats, to provide data-driven answers to burning commercial questions.

JavelinIQ is an end-to-end Analyst system with traceable lineage, access to premium financial data, charts, tables, export integrations and more, using public base data sources such as CapitalIQ, Companies House, Google, Leading News Sources, with more to come (Tom Stephens – CEO).

Deriskly provides AI solutions that allow regulated businesses to enhance customer understanding of their communications. Their latest solution supports financial services firms with clarity and understandability of their promotions and communicates, in compliance with the Consumer Duty (Tatiana Botskina - CTO).

Sincere thanks to LSEG (London Stock Exchange Group) for hosting the LNETM and to all our annual sponsors for 2024.

Host or Publisher London Enterprise Tech Meetup