Open Source in Finance Forum London 2024

AI revolutionizes many fields, yet its success hinges on expert trust and effective interaction. This talk explores key lessons from journalism, life science, and healthcare about building explainable and human-centric AI. Discover: How journalists use AI to maintain control over news analysis amidst information overload. Principles from life science on ensuring complex AI models remain interpretable for decision-making. How healthcare experts collaborate with AI while adhering to strict regulations. Key Takeaway: Learn how these strategies can inspire new approaches to AI in Financial Services (FSI), addressing explainability, expert input, and responsible use. Leave equipped with insights to promote open-source AI development that empowers experts in FSI.

In today's financial market, data and code control are critical for success. However, dealing with sensitive data and a highly regulated market can be challenging. To address this, we decided to create an innersource VSCode extension that would give us complete control over our data and code while improving developer productivity and satisfaction. We designed this extension from day one to be innersource and deployable globally across our company. Our solution leverages our own ChatGPT based on Azure OpenAI, called SecureGPT, to provide an intuitive and easy-to-use interface for developers. As we are still experimenting with this technology, we have involved testers from across our tech teams to provide feedback and help us improve the extension. In this session, I will show you what we have built, why we chose to make it innersource from the beginning, and share some of the return of experience from our users. Join us and learn how we are using innersource and AI to improve developer productivity and satisfaction while maintaining complete control over our sensitive data and code. Leave no Dev behind, and let's build the future of finance together!