Talk Abstract: An audience with a Kaggle Grandmaster. Over the last 6 years, Marios has been competing in Kaggle competitions and has achieved the number 1 ranking.  Marios will be sharing his experiences as a data scientist on his journey to the top of the…
Talk Abstract: MLOps: are we there yet? Situated at the intersection of R&D and IT operations, MLOps is crucial to realising the potential of Data Science: after all, what good is a model that's superbly accurate but never used? Why capture exquisitely complex relationships automatically…
Talk Abstract: The risk of unintended information disclosure in data publishing. Sensitive information about individuals can be recovered from different types of data releases. This presentation will explore the privacy risks in publishing data in different formats and introduce privacy techniques to defend against them.…
Facebook
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Talk Abstract: Product Experimentation At Facebook controlled experiments (AB testing) are a core component in decision making. We use them not only to choose between alternatives, but also to prove or negate our core hypotheses. The importance of experiments and Facebook’s scale means we want…
Talk Abstract: Solving the real challenge of Data Science -- Productionisation -- with proven solutions straight from the front lines. Making data science a success is really hard with up to 85% of projects and initiatives around big data and data science failing according to…
Wikimedia Foundation
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Bio: Miriam Redi is a Research Scientist at the Wikimedia Foundation and Visiting Research Fellow at King’s College London. Formerly, she worked as a Research Scientist at Yahoo Labs in Barcelona and Nokia Bell Labs in Cambridge. She received her PhD from EURECOM, Sophia Antipolis.…
Hotels.com
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Talk Abstract: Humanity in Data science. How do we ensure that we don’t forget about humanity when it comes to data science? How do we make sure that data science has a positive social and emotional impact? Well, we need to understand that data is…
GridGain Systems
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Talk abstract: Machine and Deep Learning with In-Memory Computing. Apache Ignite is an open source memory-centric distributed database, caching, and processing platform used for transactional, analytical and streaming workloads -- delivering in-memory speeds at petabyte scale. Using demos, this presentation will provide an overview of the Machine…
Talk Abstract: Building and Deploying Reproducible Machine Learning Pipelines Deployment of machine learning (ML) models, or simply, putting ML models into production, is fundamentally about bridging the gap between the research environment and live systems. Successful deployments make our models available so they can be…
Talk Abstract: Product Analytics is a key part to Facebook’s success as a data driven company. We’ll explore how Data Scientists in the Product Analytics team helped drive the success of Workplace, Facebook’s enterprise offering built out of London. Bio: David Abelman is a Data Science Manager…
Talk Abstract: Contextual multi-armed bandits for widget optimization. Mobile applications and websites are growing more complex than ever, with new graphics, functionalities and widgets being added every day. In this ever-growing space it is important to develop new approaches to surface the right content to…
Talk Abstract: A picture is worth a thousand words. But what does it say? An unprecedented amount of data is being generated on a daily basis. Automatic processing and analyses of these data sets therefore offer numerous benefits to decision makers in governmental and commercial…
The Nursing and Midwifery Council
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Talk Abstract:Smashing Data Silos with DataOps DataOps achieves time to value from data with an emphasis on culture, governance, process and automation. It is not a software solution, it’s the methodology of a group of like-minded people that deliver data solutions in a collaborative, cost-effective…
Talk Abstract: In this talk I discuss how you can use a focus product in order to build wider capability across an organisation. Bio: Head of Data Science & Architecture – BBC
The Telegraph
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Talk Abstract: How to evaluate recommender systems? Recommender systems allow us to build personalised experience for our users. But do we know how to evaluate them? Bio: Principal Data Scientist at The Telegraph. Interested in data mining, machine learning and predictive analytics. Developed news recommender…
Talk Abstract: Feature Selection Best Practices - LOFO and a Survey of Key Feature Importance Packages. Selecting predictive features to input into a model is key to ensuring that the input data is not noisy and is time-effective in cases where the original number of…
Talk Abstract: Real-time risk analysis at scale: insuring the world’s largest drone fleets with Flock. Flock has built the world’s first geospatial risk analysis tool for the drone industry, using real-time data (such as weather conditions and proximity to high risk areas) to quantify and…
Talk Abstract: Gold standard data: lessons from the trenches The first stage in a data science project is often to collect training data. However, getting a good data set is surprisingly tricky and takes longer than one expects. This talk describes our experiences in labelling gold-standard data…
Snowplow Analytics
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Talk abstract: Why high quality data is crucial for your machine learning models. It’s cliche, but garbage in truly means garbage out. In his talk Alex Dean, Co-Founder and CEO at Snowplow Analytics, will talk about how your data quality will make or break your…
Talk Abstract: The Making Of a Time Series Forecasting automated pipeline. The story of my 20%-side-project at Dataiku: how I designed and created a visual plugin for business users and data scientist to forecast time series automatically without code. A journey from understanding the literature of time series forecasting,…
Talk Abstract: How to spot biases in your datasets. Jessica will be sharing her experience working for one of the biggest social games developers. The second part of her talk will be about a problem that she encountered recently in her work: selection bias. It’s a problem…
National Biodiversity Network
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Talk abstract: How data can save the planet We all see the messages that the natural world and biodiversity are under threat, some native species are declining and climate change is affecting the wildlife we see and when and where we see it. But how do…
Schroders
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Talk Abstract: Creating Data Pipelines: Build Framework not Pipelines. Data pipelines are necessary for the flow of information from its source to its consumers, typically data scientists, analysts and software developers. Managing data flow from many sources is a complex task where the maintenance cost…
Talk Abstract: Efficient Route Optimisation, the Future of Parcel Delivery. A recognised brand in the logistic sector, Royal Mail is the market leader in delivering parcels to British homes. However, in a context of increasing parcel traffic and growing expectations, Royal Mail is always working…
Token Analyst
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Talk Abstract: Learning about the future of money from analyzing blockchain data. A whirlwind tour of the exciting possibilities offered by analyzing blockchain data - including appraising the economic potential opened up by smart contract operations, assessing the risk involved with storing and trading crypto…
Talk Abstract: An overview of the work that Arcadis and SEAMS are delivering across a range of sectors using data and advanced analytics to transform how natural and built assets are managed.  With a footprint across the globe Arcadis are working with clients across a diverse…
Best Practise AI
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Talk Abstract: Who’s Going to Make Money in AI and Machine Learning? We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead…
Talk Abstract: Slow burning, ground breaking and blockbuster data applications at the BBC. Optimising demand and resources for data science, data engineering and analytics products in a large organisation. Data solutions is a growing team within BBC. We are using machine learning to solve strategic problems…
Talk Abstract: Slow burning, ground breaking and blockbuster data applications at the BBC. Optimising demand and resources for data science, data engineering and analytics products in a large organisation. Data solutions is a growing team within BBC. We are using machine learning to solve strategic problems…
Talk Abstract: Progressing with GANs: Progressive growing for increasing quality, stability and variation. Generative Adversarial Networks (GANs) have recently reached few tremendous milestones: generating full-HD synthetic faces, to image compression better than the state of the art to cryptography. In this talk we will start with…
Bio: Sophie loves making data accessible. She managed the Tableau Public team where she helped journalists, non-profits and educators visualise their data to tell insightful stories. She has a background in analytics and government.  
Data Science Coach
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Talk Abstract: Building and Deploying Reproducible Machine Learning Pipelines Deployment of machine learning (ML) models, or simply, putting ML models into production, is fundamentally about bridging the gap between the research environment and live systems. Successful deployments make our models available so they can be…
Mango Solutions
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Talk Abstract: Integrating empathy in the Data Science process. Despite the fast growth of talent in analytics and more sophisticated technical skill-sets, the success rate of data science projects remains low. It may be because people-related factors are top challenges in such projects, e.g. lack…
Full Fact
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Bio: Will has been the Director of Full Fact since 2010, through three referendums, the Leveson Inquiry into press standards, the European Parliamentary and 2015 and 2017 general elections. He appears regularly on TV, radio, and at events to discuss Full Fact's work and factchecks, as…
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: 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…
Department for Transport
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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 challenge of kickstarting the DfT’s data science capability and making the UK the worldwide leader in…