Determining a retail basket’s purpose is a key part of driving understanding of shopping behavior. One way that dunnhumby has attempted to build understanding in the past is through topic modelling, where the basket is reimagined as a textual document being examined. Building off those foundations, the definition of a document is shifted to incorporate […]
Positive-Unlabelled (PU) learning is a semi-supervised binary classification technique that is trained on dataset where only positive instances are labelled, and remainder of instances are unlabelled/unknown.
Using Decision Science and Machine Learning to Improve the State of Global by Robert King Friction-free online shopping: taking calculated risks to improve the state of global e-commerce. The global pandemic has accelerated the adoption of e-commerce worldwide, but how can merchants maximize sales conversions while minimizing customer frustration and fraud? This talk will explain […]
Use Demand Forecasting to Move Money Around the Globe in Anticipation of Customer Needs by Egor Kraev Exchanging and transferring cash with Wise feels just the way things should be – convenient, transparent, and fast. What the customer doesn’t see is how this experience is created from the slow, convoluted, and complex machinery of the […]
Build Powerful Products Using Open Banking APIs by Alex Spanos Open Banking is going through an exponential growth phase. New financial applications and services are increasingly using Open Banking APIs to help more than 3 million users, for example, manage their finances, access credit and make payments. At TrueLayer we have been building data and […]
Open Finance APIs: Access to Data and Insights That Enhance the Financial Wellness of Your Customers by Daniel Cook Open Banking has been around a few years now and is powerful in the fact it enables an interface to be provided where someone can view their current accounts, credit cards, pension and mortgage all in […]
Data Challenges, Making a Positive Impact in the Fight Against Climate Change by Laurence Watson Data Science in Energy and Climate by Laurence Watson of Future Energy Associates. Future Energy Associates is an energy data science consultancy tackling burning issues in the data-driven climate space. In the rapidly growing and digitising energy space, more and […]
Giving Charities the Data to Improve their Impact by Matt Kepple There are 160,000 charities in the UK and whilst the bigger ones are certainly getting grips with data, there are many that are still stuck using spreadsheets and disconnected systems. Makerble is one of the technology platforms at the forefront of changing that with […]
Getting on the Housing Ladder and Building the World’s Largest Database of Accessibility Information by John Lim & Matt McCann Title: Empowering Disadvantaged Communities to Escape the Rent Trap Through Data Speaker: John Lim of District 34 Abstract: The cost of shelter – a basic human necessity – has spiralled in the last few decades, […]