How does one govern privacy on a global level across different jurisdictions each with their own set of privacy requirements
Legal implications in dealing with AI
How to protect against and respond to data breach incidents
The explosion of interest in Large Language Models (LLMs) and other Foundation Models (FMs) over the past two years has meant that more organizations want to know what it takes to run solutions using these models in production. In this talk, Andy will share his learnings on how to organise your people and technology to take full advantage of these capabilities and run production grade solutions at scale. He will discuss common architectures, emerging team structures and how evaluation and monitoring practices need to be upgraded for the GenAI era. This talk is useful for anyone involved in the deployment and operations of systems where the latest wave of machine learning models play a role.
Andrew (Andy) McMahon is a Principal Engineer within the AI COE at Barclays where he works on building the latest generation of machine learning and AI products to support colleagues and customers across the world. Andy is a well-known thought-leader in the practical implementation of MLOps, Generative AI and ML engineering, with experience developing these capabilities in several organisations. He has lectured at leading universities on these topics and is a sought after public speaker. He is also the author of a popular technical book, Machine Learning Engineering with Python (Packt).
Melvin is a Senior Manager in Deloitte Singapore’s Technology & Transformation practice. As part of the Data & Privacy team, Melvin has spent the past 5 years leading and delivering services to various clients at local, regional, and global scales in data-related domains, particularly data privacy and protection, and serves as a subject matter expert to the other teams in the firm’s practice in Southeast Asia.
Within this evolving field, Melvin is constantly looking out for opportunities and new developments to assist clients in their data privacy and protection journeys, such as in the areas of Privacy Enhancing Technologies and Privacy in Artificial Intelligence.
He looks forward to connecting with fellow like-minded individuals who share his passion for these domains and hopes to inspire meaningful discussions and collaborations.
•Address global data challenges like data in silos to extract greater value out of enterprise data
•Leverage privacy-preserving computation to ensure data privacy while extracting valuable insights, enhancing decision-making
•Empower organisations to integrate a state-of-the-art data exchange platform to their data strategies
