We often hear of ethics being used for risk mitigation methods in data processing and management. Although necessary to the success of AI, risk mitigation only covers half the potential use of ethics when it comes to practically applying high level ethical values to the concrete context of AI systems. If fully utilised, ethics can […]
Data Science has experienced a decade of growth and continues to be one of the fastest growing occupations globally. Navigating the opportunities available for both people and organisations is challenging in a fast moving landscape. Our expert panellists will focus on unlocking the Data Science opportunity using their unique journeys into data science to highlight […]
Graph analytics has emerged as a game-changing tool for organisations and businesses worldwide to find meaningful insights. Social networking, healthcare, text/graphics content analysis, transportation networks and search engines are a few examples where graph analytics are increasingly being used. In this session, we will introduce graph analytics and discuss why they are essential, emphasising the […]
Although Artificial Intelligence and in particular Machine Learning has been in the works for five decades it is only over the course of the past decade that AI/ML has emerged as one of the promising technology influencing a number of area of our day-to-day life (autonomous driving, recommendation systems, robotics, neuroscience, vision). The world of […]
The M&S central data science team was founded in 2019 to tackle a diverse range of problem statements across the whole business. In this session we are going to cover two projects for different areas of the company, but which both ensure that customers get to see the products they’re most interested in and are […]
In this talk, I will demonstrate how to identify the inflated stockpiling behaviour seen in the early days of the pandemic. Most existing literature around anomaly detection approaches the problem as a by-product of looking at normal data points and identifying anything that doesn’t conform. I will be discussing about a different and more efficient […]
Gousto is a large meal-kit company which is scaling rapidly. Our objective is to become the UK’s most-loved way to eat dinner. In order to do this we have to grow a state-of-the-art supply chain including forecasting, planning, factories, operations and logistics. Data scientists at Gousto accomplish this in three key ways: by using simulation […]
Anastassia shows how Europe can rethink their digital agenda while recognizing the value of data, introducing Data IDs for consumers and businesses, committing to support innovation in decentralized data technologies, as well as introducing concepts of Data Trusts and compulsory education around data starting from the early school age. She emphasizes the necessity to develop […]
In this session Richard will introduce Tubular – a python package for feature engineering, originally developed within LV= which has now been open sourced. We’ll work through building a feature engineering pipeline using tubular to see some of the key transformers that it offers and how it fits into a data scientist’s workflow. No previous […]