If you don’t have responsible AI by design, then you have irresponsible AI by design. But embedding responsible AI into every facet of your business is easier said than done. It’s a monumental challenge, involving both company-wide strategies (how do you roll-out AI policies that balance competing stakeholder interests?) and specific technical decisions (how do […]
The Lloyd’s of London insurance market, one of the longest-standing institutions in the insurance market, known for its centuries-old traditions and ability to insure unique and complex risks, is witnessing a wave of innovation. At the forefront of that wave is Ki, a digital-native syndicate that’s reshaping the landscape of specialty insurance through algorithmic underwriting. […]
The technical session will provide a broad overview of the decisions that data scientists and developers need to consider when productionising generative models including serving various GenAI models, handling concurrency bottlenecks in AI workflows, implementing real-time model streaming and how to secure, optimize, test, containerise and deploy these services. The session starts with an introduction […]
Man AHL is a systematic hedge fund trading thousands of instruments. To achieve this, our team conducts extensive analysis on our predictor performances, how we compare with competitors, where we excel, and where new opportunities lie. This requires running over 20,000 tasks daily to calculate analytics across our platform. These tasks, along with their resource […]
Recipes are more than just lists of ingredients—they’re structured data waiting to be unlocked. In this session, we’ll take you behind the scenes of how we built machine learning models to extract structured data from unstructured recipe articles, enabling the launch of a new recipe application FEAST by the Guardian. We’ll discuss the challenges of […]
In the modern data stack – every data job has an offline and online component. Typically these are served by vastly different systems and employ a multi-hop architecture to make data sets available for each. This can be inefficient, inconsistent and expensive and can easily result in a Data MESS rather than a Data Mesh. […]
Our DSF Game On Warm-Up Event with dunnhumby! As shopper expectations evolve in an increasingly competitive retail landscape, traditional marketing strategies no longer suffice. The shift from segmented personalization to more advanced, AI-driven personalization has become essential. With rapidly changing consumer behaviour, our goal is to strike right balance between enhancing customer experience and drive […]
1. The Regulatory Landscape: From the EU AI Act’s risk-based approach to the U.S. NIST framework’s focus on transparency and accountability, how are global standards shaping AI development? 2. Ethics in Practice: Can frameworks like “Power-Sharing Liberalism” bridge the gap between ethical principles and technical implementation? We’ll dissect real-world challenges in bias mitigation, human oversight, […]
Being unable to find sufficient data is nothing new for data scientist but it is a particular pain point in the world of Sports Analytics. This is because in my industry, data collection involved physically attaching equipment to athletes and collecting data as they perform, be it in professional football, rugby or any other sport […]