This is AI in Real Life London
Discover how AI pioneers solve real-world AI challenges. Watch all three expert talks from AI_IRL London in this one-hour recording.
The future of AI is here, and it's all about real-world impact.
Everyone's talking about applying AI to real-world use cases, but how are leading organizations actually making it happen? AI_IRL London revealed the trends, tools, and best practices for cutting-edge AI implementation.
Watch the full presentation recording and get an exclusive look at how industry leaders are shaping the future of AI.
In these insightful sessions, you’ll find:
- How to use generative AI to keep your code documentation up-to-date, identify refactoring opportunities, and enhance searchability.
- The ways in which open-source LLMs compare to closed-source models and their impact on healthcare, from extracting insights to real-world deployment challenges.
- Real-world GenAI deployment examples focusing on inference-centric AI development accelerate the time to market.
Speakers
Thomas Boltze
Head of Enterprise Architecture
PagoNxt | Santander Group
Matt Beale
Senior Solutions Consultant
CloudFactory
Pavithra Rajendran, Ph.D.
NLP & Computer Vision Lead
NHS GOSH
Thomas Boltze
Head of Enterprise Architecture
PagoNxt | Santander Group
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.
Matt Beale
Senior Solutions Consultant
CloudFactory
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.
NLP & Computer Vision Lead
NHS GOSH
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).
