Dive into the thrilling intersection of FinTech and AI, where code meets commerce in unexpected ways! You’ll learn how to build an application leveraging Langchain, OpenAI, and a vector contextual database.

Perfect for software engineers, developers, and data analytics professionals, this is your chance to code, converse, and potentially predict the next big market move.

Join us for a blend of finance, fun, and futuristic tech!

What You’ll Learn:

• The fundamentals of OpenAI and its application in the FinTech sector.
• Step-by-step guide to building a voice-activated stock market advisor chatbot.
• Best practices for ensuring your chatbot is both efficient and effective.
• Real-world use cases and success stories of AI-driven financial tools.

Especially in the financial industry we are often facing the challenge to integrate new features and new technology into the existing legacy environment. We have to focus on the legacy systems instead of focusing on the new potential. This takes time, increases costs and decelerates development.In general disregarding maintenance and modernization of software, processes and data structures lead to a degeneration and a lack of adaptability. Hans Hosea Schäfer will figure his approaches and ideas to achieve software regeneration and system improvement. Modernizing working business critical systems often takes some time, but harvesting the benefits is great: in consequence you can focus on future improvement instead of legacy from the past - at least concerning your system.

Financial services institutions are increasingly relying on real time analytics for fraud detection, digital identity management and many other areas. Irrespective of the technology underlying the analytics, one fundamental premise remains true: without having sufficient data to power these algorithms and the ability to load that data in real time, even the best algorithms will return suboptimal results. Having worked on multiple custom fraud solutions, Aerospike's Chief Dev Advocate Tim Faulkes will explore these data challenges in performing fraud detection, then look at models and technology which can be used to address this. Whilst the modeling techniques used will focus primarily on credit card fraud, similar techniques can be applied to other areas requiring real-time access to large quantities of data.

Explore the synergy of fintech development and blockchain security. Algorand Foundation's CTO John Woods will explore how powerful cryptographic primitives can help you build beyond the boundaries of what the fintech world offers now and discuss enterprise-grade applications in the evolving blockchain landscape. Gain an actionable understanding of the necessary security advancements required for widespread blockchain adoption by banks and institutions dealing with substantial assets on the blockchain.

‍