Talk Abstract:  Why header bidding is changing everything Header bidding is the latest in a long line of technologies that disrupt the programmatic ad market. As a major technology platform in the programmatic space, Criteo is seeing first-hand how these changes can affect publishers, advertisers,…
Applied Data Science
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Talk Abstract: Data Science Embedded How do data scientists generate revenue? Answer: generally, they don’t – it’s the actions taken by the wider business following recommendations from data scientists that affect the bottom line. That’s why fully embedding the output from your data science team…
Bio: David is the founder of Data Idols and the Data Science Festival.  He has spent years as a contract database administrator, delivering projects for some of the UK's leading companies.  During his time as a contractor, much of his work was sourced through recruitment…
Talk abstract: Learning at hyper-scale: creating the self-learning business How do we create products and businesses that continuously experiment, evolve and learn in order to maintain their competitive advantage? Harnessing big data and data science, and integrating them into the heart of company culture is critical…
Talk Abstract: What "50 Years of Data Science" leaves out We’re told data science is the key to unlocking the value in big data, but nobody seems to agree just what it is. Is it engineering, statistics. . .both? David Donoho’s “50 Years of Data…
Talk Abstract: Fashion Recommendations at ASOS: Challenges, Approaches and Learnings In this talk, we discuss our journey in the design and development of recommender systems for our platform. We first discuss the technical and business challenges we faced when starting to build our recommendation engine.…
BIO: Fergus is a Senior Data Scientist at Trainline. He uses Big Data to make sense of the UK train network, creating time and money-saving solutions for customers every day. As well as Transport, Fergus has experience in the Energy and Retail sectors, where he…
Talk Abstract: Fashion Recommendations at ASOS: Challenges, Approaches and Learnings In this talk, we discuss our journey in the design and development of recommender systems for our platform. We first discuss the technical and business challenges we faced when starting to build our recommendation engine.…
Talk Abstract: Glace at Q-Learning This talk is split into three parts.  First an introduction to why as an energy engineer I’m so excited about machine learning. The second part is an introduction to reinforcement learning and Q-Learning specifically. The third part we take a…
  Talk abstract: Winning with Data Science at Facebook Data science means lots of different things to different people. In this talk I’ll describe how we think about impacting products with data science at Facebook. Bio: Mike Passey is a Data Science Manager at Facebook, having previously…
Talk Abstract: “Reinventing Shop Direct’s customer contact strategy” Abstract: Shop Direct has been on a journey moving away from 80 years of catalogue retail heritage to become a pure-play internet retailer. This transition has created a variety of challenges and opportunities around the way that…
Talk Abstract: Interactively Analyse 100GB of Data using Spark, Amazon EMR and Zeppelin. You may have been hearing a lot of buzz around Big Data, Apache Spark, Amazon Elastic Map Reduce (EMR) and Apache Zeppelin. What’s the fuss about, and how can you benefit from…
Digital-Dandelion Ltd
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Talk Abstract: How can we predict a successful data science project? A series of personal anecdotes that illustrate the key factors that explain data science success Bio: Jay Liu has been analysing data for over 12 years, delivering insight to a diverse range of clients…
Talk Abstract: A practical look at putting data science in production Search is a common feature for apps. The basic implementation of search as an information retrieval exercise does not allow for personalisation. A smart search, that boosts the information retrieval with sorting based on…
 Bio: Natalia Balko, Head of the Analytics Center of Excellence within R&D Solutions for QuintilesIMS, is responsible for the development, innovation, and delivery of global analytic solutions that underpin the Next Generation of Clinical Development Solutions following the QuintilesIMS merger. Previously, Natalia was a Principal…
Talk abstract: BenevolentAI is a London-based technology company that explores the use of deep learning and other cutting-edge computational techniques to enhance and accelerate drug discovery. The company has created an enriched data landscape by processing and integrating large volumes of data generated at all stages…
Talk Abstract: On the Use of Embeddings in Search  One of the main innovations rediscovered in the last years in search and machine learning is the concept of Embeddings. In search, embeddings have been used in many different applications including retrieval, advertising, and recommender systems.…
Talk Abstract: Modern Advertising: Assessing the Quality of Ads Beyond Only Clicks Assessing online advertising user experience is important to avoid driving users away from your site and to provide feedback to advertisers on the quality of their ads. Skyscanner is increasing their advertising inventory,…
Talk Abstract: How Different are Your Different Social Network Personae?  This talk investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. Using the personal webpages of 116,998 users on…
Talk Abstract: Word Embeddings for Natural Language Processing in Python Word embeddings are a family of Natural Language Processing (NLP) algorithms where words are mapped to vectors in low-dimensional space. The interest around word embeddings has been on the rise in the past few years,…
Bio: Sarah Venugopal is the Lead Community Manager and one of the founding team at Raremark, engaging with the rare disease community and patient groups to help them understand and be partners in the drug development process. Sarah has a degree in biochemistry and a…
Bio: Yogeeta is an Associate Director in strategy at MSD, a top 10 global pharmaceutical company. Her role involves providing insights on current trends in health and digital policy and shaping the commercial model for products such as hepatitis C treatments and antibiotics.This includes developing…
Talk Abstract: Rapid Machine Learning Development with Social Data In this talk I will introduce the unique requirements and exciting challenges presented by mining social media for high-quality, user-generated content. I will outline how we approach these both as data scientists and big data engineers,…
Talk Abstracts: Enabling Log Everything  We believe that data should be at the heart of every decision at Skyscanner, so it’s important that our engineers have the tools to seamlessly log the data that will help them with those decisions. In this talk, we discuss…
Talk Abstract: From Data ingestion to data viz, how to start and complete an analytics project for retail on Azure HDInsight Application Platform. How retailers can leverage the Azure HDInsight Application Platform to use applications that span a variety of use cases like data ingestion,…
Talk Abstract: 'Where can I park? This is a question asked too often and  by too many drivers. In a busy city, searching for a free parking space can be very frustrating. At Parkopedia we are focused on solving various parking related problems. Parkopedia is the…
Talk Abstract: Customer Next Purchase Prediction for Retail: a Global Use Case. The retail industry has been data-centric for a while. With the rise of loyalty programs and digital touch points, retailers have been able to collect more and more data about their customers over…
Talk Abstract: "How to Improve your Recommender System with Deep Learning: A Use Case" Deep learning is without a doubt among the hottest topics in data science today. Computers are now more powerful than ever, and as a result, deep learning has been applied successfully by academics…
Talk Abstract: I went to work as an SQL programmer, and left as a hostage. Peter Moore was an SQL Server developer of several years' experience prior to accepting a three-month assignment working on a financial system for the Iraqi government. He returned home two…
Telegraph Media Group
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Talk abstract: Variety of algorithms used to convert content metadata into business value The talk will present the detail behind Telegraph AI (Audience Interest), a data driven advertising product. It will focus on the role of algorithms in the process of building it. From building a…
Talk Abstract: Data Mining for Optimizing Content Caching and Distribution  As a leading travel marketplace, Skyscanner is serving a daily load of up to a dozen billion flight itineraries to its users across the globe. The distribution of travel quotes at such a scale requires caching mechanisms…
Department for Transport
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Talk abstract: The Data Science journey in DfT, including initiatives, projects and our vision for the future. Bio: Tom Ewing is Principal Data Scientist for DfT. He has 20 years’ experience in government in a variety of data, analytical and digital roles and currently relishing the…
deepsense.io
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Pawel Subko is a Data Scientist at deepsense.io. He holds a masters degree in Mathematics from the University of Warsaw. He has published papers on partial differential equations and did research at Charles University in Prague. In deepsense.io he works on object detection, classification and…
Talk abstract: How to become a Kaggle #1: An introduction to model stacking Ever wondered how Kaggle masters combine hundreds of different machine learning models to win modelling competitions? Ever wondered how to become ranked #1 on Kaggle? StackNet has helped me do that! StackNet is…
Consolidata Ltd
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Talk abstract: One of the most notable additions to the Microsoft BI stack is the addition of Microsoft R Server inside SQL Server 2016. The in-built ScaleR packages deliver scalability and multi-threading capabilities that open-source R can’t easily provide, opening up a world of possibilities for…
Talk Abstract: Bootstrapping a Destination Recommendation Engine (Neal) In many different web services, we hear about machine learning for recommendation systems that help users tackle information overload - there are simply too many movies, songs, and books for users to usefully browse through. Travel is…
Talk abstract: Data-driven Outdoor Advertising Exterion Media is Europe’s largest privately held Out-of-Home advertising business. Exterion Media is on a journey to becoming a Digital Media Company, powered by data. Engaging consumers on the move and using wide-ranging insight and data tools, it delivers valuable, relevant…
Funding Circle
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Talk abstract: One-by-one Is No Fun: Lessons learned writing Kafka ETL jobs I’ve been writing ETL jobs using Kafka for a couple of years now. In that time, I’ve done just about everything wrong, before figuring out what does work. This talk will cover: -What Kafka…
Longshot Systems Ltd
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Tuesday Talk abstract: From PhD to life: using science to get a job in data Demand for quantitative research skills is at an all-time high, while at the same time academic careers are becoming less and less safe and attractive. If you are a PhD…
Talk abstract: War in HD: Conflict and Open Source Information The huge flows of data enabled by social media, smart phones and the internet have created a revolution in the way we interact with events around the world, especially in the arena of conflict. This environment…
Talk abstract: Risk Analytics for Drones Flock has built a real-time risk analytics engine for drone flights. Ed explains how and why it works, and what it means for the future of the industry. Bio: Ed is the CEO of Flock, an Artificial Intelligence startup that…
Talk abstract: Handling 1st line technical support with a chatbot 1st line of the technical support is frequently providing answers to FAQ and pre-assembled conversations for operators to follow. With the enhancements in A.I. and Machine Learning, how much of this task could be supported with…
Bell Labs Cambridge
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Talk abstract: The Science of Visual Interactions In this talk we will explore the invisible side of visual data, investigating how machine learning can detect subjective properties of images and videos, such as beauty, creativity, sentiment, style, and more curious characteristics. We will see how these…
University College London
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Talk abstract: Less is More: Data Visualisations for Big Data This talk will showcase how large and complex datasets can be visualised in compelling and informative ways. It will draw from a range of examples that cover everything from commuter flows to baboons, cyclists to songbirds…
Status Today
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Talk abstract: Using AI to understand Human Behaviour in the workplace Can Artificial Intelligence be used to understand the intricacies of human behaviour? Ankur Modi shows how basic data and AI have the potential to bring the next revolution in operational visibility. The talk focuses on…
Acumed Training
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Talk abstract: Anomaly Detection: A breakdown of Twitter's Seasonal Hybrid ESD In a world of deep learning statistical techniques are out of fashion but can still be very effective tools. Twitter's open source anomaly detection project uses a statistical technique call Seasonal Hybrid ESD. This talk…
Developer Advocate - IBM
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Talk abstract: A Beginners Guide to Weather and Climate Data Weather is part of our everyday lives. Who doesn’t check the rain radar before heading out, or the weather forecast when planning a weekend away? But where does this data come from, what is it made…