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CodeNode, 10 South Pl, London EC2M 7EB


9:00 AM - 6:00 PM

Data Science Festival Mainstage Day

9:00 am-
6:00 pm
April 29th , 2017, Saturday

Data Science Festival Mainstage (Ballot ticket only)

Please register for a ballot ticket here:

Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for the Data Science Festival Mainstage day on Saturday 29th April 2017, the ballot will be drawn on the 21st April 2017. Those randomly selected will then be e-mailed tickets for the event, with the joining details.

The Data Science Festival is the first of its kind as the only community led, free to attend Data Science Festival in the UK.

Saturdays Main Stage Event April 29th 2017. This free day will feature three-stream rooms with over 500 people attending. Two keynote speakers on Saturday morning and then a day of lectures, tutorials and workshops with over 40 top speakers. It will also feature our partners in our exhibitor section of the event. An entire day to learn, mingle and be inspired. For the people by the people!

Speakers to date, please check for up to date speaker information.


Alexandre Hubert
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 during the past few years.…
Ankur Modi
Status Today
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 case studies from financial and…
Barbara Fusinska
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 the aid of software? While…
David Loughlan
Data Idols
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 agencies, it was a painful…
Dean Morin
Funding Circle
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 is -What the major frameworks…
Deepak Vadithala
Exterion Media
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 audiences to advertisers. TFL and…
Dr. Shahzia Holtom
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 the relevance to an individual,…
Ed Klinger
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 uses Big Data to safely…
Gianluca Campanella
Longshot Systems Ltd
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 student or post-doc, should you…
James Cheshire
University College London
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 in order to demonstrate how…
Jay Liu
Digital-Dandelion Ltd
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 that include PR & creative…
Marco Bonzanini
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, because these techniques have been…
Margriet Groenendijk
Developer Advocate - IBM
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 of? The answer is a…
Mike Hyde
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 to building data-powered businesses. Drawing…
Miriam Redi
Bell Labs Cambridge
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 detectors can be applied in…
Nick Waters
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 has given us access to…
Oliver Frost
Consolidata Ltd
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 data scientists interested in machine…
Pawel Subko
Pawel Subko is a Data Scientist at 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 he works on object detection, classification and image processing. He is specialising…
Peter Tillotson
Acumed Training
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 works through the various steps…
Raoul-Gabriel Urma
Cambridge Spark
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 these state of the art…
Roberto Pagliari
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. Next, we explore the main…
Sean Owen
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 Science”, which is itself a…
Simon Hill
Shop Direct
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 Shop Direct communicates with its…
Soraya Hausl
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. Next, we explore the main…