This is AI in Real Life London

Thomas Boltze will explore how to use generative AI to maintain up-to-date documentation for an entire codebase while also identifying areas for refactoring and making it more searchable.

Thomas oversees the development and implementation of enterprise architecture at PagoNxt Merchant Solutions, ensuring that business strategy aligns with technology. He is responsible for driving innovation through initiatives that include the creation of a generative AI-based knowledge management system. With over 20 years of experience as a CTO, systems architect, principal scientist, and architecture manager, his expertise spans fintech, payments, eCommerce, and SaaS verticals. He is recognized across the industry for leading advancements in products, processes, and technology.

In his talk, Matt will examine real-life use cases and client success stories of deploying GenAI, focusing on inference-centric AI development.

With 15 years of experience as an infrastructure and application architect in the banking, fintech, insurance, and AI industries, Matt currently specialises in designing AI systems. He assists clients in tackling data challenges and enhancing their AI and machine learning operations. Additionally, he plays a crucial role in representing client needs and perspectives, providing valuable feedback to CloudFactory's platform development teams.

Pavithra Rajendran, Ph.D., will discuss the growing capabilities of open-source Large Language Models (LLMs) and how they compare to their closed-source counterparts. Her talk will focus on the application of these open-source LLMs within paediatric health care, specifically for extracting valuable insights from unstructured data. It will also address the challenges of deploying these models in real-world clinical settings.

Pavithra leads the NLP and Computer Vision workstream at GOSH DRIVE, where she focuses on developing AI-driven solutions for analysing and extracting insights from unstructured clinical text and images. With over eight years of experience in academic and commercial settings, she specialises in translating research into practical, end-to-end solutions, from proof-of-concept to production. Her background includes consulting, where she applied traditional and deep learning-based NLP techniques for diverse client projects across the public and private sectors. Pavithra holds a Master's in Advanced Computing (Machine Learning, Data Mining and High Performance Computing) and a PhD in Computer Science (Natural Language Processing).