• DSF Meetup with Deliveroo

    Deliveroo (The River Building), 1 Cousin Lane

    Join Data Science Festival London, in partnership with Deliveroo this December. The evening will consist of talks from logistics network balancing all the way to learning about the king experimentation platform. Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by the 3rd of December 2018 you have been unsuccessful in getting a ticket for this event. PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT. Please click here to apply for a ticket: https://www.datasciencefestival.com/event/live/2018/dsf-meetup-with-deliveroo/ SCHEDULE: 6:30pm: Doors open - Drinks and Food 7:00pm - 7:05pm - Intro 7:05pm - 7:40pm: First talk - Ben Sowden and Wing-Lon 7:40pm - 8:15pm: Second talk - Elsa Meserlian 8:15pm - 8:30pm: Break 8:30pm - 9:05pm: Third talk - Jared Conway 9:05pm - Networking 9:30pm: Close 9:30pm: Christmas drinks near the venue Ben Sowden & Wing-Lon: Logistics network load balancing Bio: Ben Sowden and Wing Lon Ng are Data Scientists at Deliveroo in the Logistics Algorithms team whose mission is to optimise the logistics network and dynamically manage demand to meet the available supply. Elsa Meserlian: Automating the human in econometric modelling Bio: A maths nerd and creative, I was searching for a remit to belong to when I met econometrics. I've built models for entertainment, FMCG, tourism, airlines, banking, casinos and now mobile gaming in the past 5 years. In this talk, I want to present to you a solution I modernised for building econometric models which accelerates the modelling process, tailored for King's systems. Jared Conway: Using Lookalikes to measure incremental growth Bio: Jared Conway is a Data Scientist in the Growth team at Deliveroo. The Growth team is focused on exploratory and marketing initiatives that aim to grow Deliveroo’s user base.

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  • DSF Meetup with Facebook

    Facebook London

    UPDATE: Tickets have now all gone out for this event. If you have not received an approval e-mail from us you have been unsuccessful in getting a ticket for this event. Join Data Science Festival London, in partnership with Facebook. Lightning talks covering using AI for decision making, to topic modeling and building products with data. Following our talks will be a panel with all our speakers where you can ask questions and learn more about each topic covered. Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by the 19th of November 2018 you have been unsuccessful in getting a ticket for this event. PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT. Please click here to apply for a ticket: https://www.datasciencefestival.com/event/live/2018/dsf-meetup-with-facebook/ SCHEDULE 6:00: Doors Open 6:30: Welcome/Intro 6:35: Lightening Talks (10 mins each) 7:20: Panel chat & Q&A 8:00: Refreshments 9:00: Close Ankur Modi: Using Artificial Intelligence to build Employee Analytics for instant decision making Bio: Ankur Modi is the CEO and co-founder of StatusToday, which was recognized as one of Europe's hottest Artificial Intelligence start-ups by Business Insider and Techworld. He is an expert in big data engineering with a unique specialization in human behavior and has been recognized as Forbes 30 Under 30 in Technology. Most recently Ankur served as an expert advisor to the Westminster Parliament and was awarded a fellowship by the Royal Society of Arts and Commerce. Ankur left India at 17 to pursue Computer Science in Germany and subsequently received training in Psychology from Oxford University. Prior to StatusToday, Ankur led global projects as an engineer and project manager at Microsoft. At StatusToday, Ankur and his team have created a unique Intelligence platform that helps companies objectively measure engagement, collaboration and wellbeing. Adam Hornsby: Building a topic model using retail data. Bio: Adam is a Senior Data Scientist at Dunnhumby, where he builds and deploys machine learning algorithms at scale. He is also a part-time Experimental Psychology PhD student at UCL, funded by Dunnhumby. His research aims to better understand consumer purchase behaviour through a combination of data science, machine learning and cognitive modelling. Sandi Conroy: Data Science, Product & Integrity Bio: Sandi Conroy is a Data Science Manager for the Community Integrity team in London and has been at Facebook for four years. She is passionate about working on the Community Integrity team, which is trying to build a safe and inclusive community for Facebook users. Shachar Meir: The Science of Product Development: Demystifying Product Development @ Facebook Bio: Shachar Meir leads the Ads Data Engineering team at Facebook London, helping make advertising work for everyone. Prior to Facebook, Shachar had spent over a decade making organisations data-driven, with companies such as PayPal, WorldRemit, Pontis, and more, building global teams all across the spectrum, from Data Engineering to Analytics. Shachar is extremely passionate about turning data to insights that drives businesses, and is enthusiastic about the psychology of data and shaping team cultures around data.

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  • DSF Meetup with Busuu

    Bloomberg

    Ever wondered how language learning apps like Busuu decide which words are burned into your memory and which need to be reviewed? Join Data Science Festival - London, in partnership with Busuu October 16th to learn just how they do it! PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT. Please click here to apply for a ticket: https://www.datasciencefestival.com/event/live/2018/dsf-meetup-with-busuu/ Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by the 12th of October 2018 you have been unsuccessful in getting a ticket for this event. If you get an allocated ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable. SCHEDULE 6:00pm Guests arrive 6:30pm - Tom Richardson 7:15pm - Break 7:45pm - Sole Galli 8:30pm - Networking 9:00pm - Close Speaker 1: Tom Richardson - Senior Data Scientist Modelling Memory with Busuu's Vocab Trainer Summary: Ever wondered how language learning apps like Busuu decide which words are burned into your memory and which need to be reviewed? In this talk we describe the spaced repetition model behind Busuu’s Vocab Trainer which predicts the rate at which your memory of a word decays. We then use model predictions on real users to answer questions like, “Which words do users find the most difficult?”, “Which exercises in the app are the best measures for ‘knowing’ a word?” and “How do learning patterns change from country to country?”. Bio: With a background spanning elections forecasting, data science consultancy and trying in vain to figure out what dark matter is, Tom is the stats and ML guy at Busuu. His current ML projects include dynamic discounting, lifetime value modelling and algorithm design for the vocab trainer. Speaker 2: Sole Galli Engineering and selecting features for machine learning Summary: We use machine learning algorithms to determine patterns in past data and then predict behaviour in future observations. However, the data available in business is generally not ready for use in machine learning modelling. On the contrary, we typically devote an extensive amount of time in pre-processing and selecting the variables that we will finally feed into our models. What are the typical problems we find in data? And what are the advantages of selecting variables to build models for in business? In this talk, I will describe common data issues for numerical and categorical variables, highlighting which machine learning models are susceptible. I will introduce and compare different feature engineering techniques for imputation of missing data, processing of outliers and encoding of categorical variables. I will continue with an overview of different feature selection procedures, focusing on the limitations and advantages of each technique. By the end of the talk, I hope to give you a flavour of variable preprocessing and selection for building business models that can be put in production. Bio: Soledad is a Lead Data Scientist at LV=, with 2+ years of experience in data science and analytics in the financial sector, and 10+ years of experience in scientific research in academia. She is passionate about extracting meaningful information from data and supporting institutions make solid and reliable data driven decisions. At LV=, Soledad and the data science team are leading the implementation of machine learning across the multiple company business areas. Having transitioned from academia to data science, Soledad is passionate about enabling and facilitating data scientists and academics transition into the field, and helping data scientists increase their breath of knowledge. During the last year, Soledad shared insight in blogs and talks in the data science community.

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  • DSF Meetup with Skyscanner

    Skyscanner, Floor 6

    Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by the 21st of September 2018 you have been unsuccessful in getting a ticket for this event. PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT. Please click here to apply for a ticket: http://www.datasciencefestival.com/dsf-meetup-witht-skyscanner/ Join Data Science Festival - London in partnership with Skyscanner in September for three great speakers. SCHEDULE 6:00pm Guests arrive 6:30pm - Ed Leon Klinger & Courtenay Mansel 7:15pm - Break 7:45pm - Ruth Garcia & Marco Bertetti 8:30pm - Networking 9:00pm - Close Ed Leon Klinger - CEO at Flock Bio: Ed Leon Klinger studied engineering at Oxford, and went on to do a Masters in Technology Policy at Cambridge where he focused on autonomous vehicles, AI, and drones. Courtenay Mansel - Data Scientist at Flock Bio: Courtenay Mansel studied engineering at Oxford, with an emphasis on computational modelling and algorithm design. Summary: Real-time data for real-time insurance: a flying robot case study Ruth Garcia - Data Scientist Summary: Online advertising is an essential component of any business strategy. Every year, the investment on online advertising grows for mobile and web. To satisfy advertisers and increase ROI, many online ad publishers build their own ad serving platforms to manage and deliver ad inventory with flexibility and efficiently. As a consequence, the need of click prediction systems are an important aspect for the success of such systems. In this talk, I will introduce the importance of click prediction in ad manager from a publisher point of view. I will cover some of the challenges found when building click prediction models in this environment. I then explore some of the simplest algorithms used to tackle click prediction as well as some of the parameters that mostly impact performance. Bio: Ruth is a Data Scientist at Skyscanner in London focusing on building machine learning models for online advertising. Previously, she was a researcher at the Oxford Internet Institute (University of Oxford) studying collective memory based on online information seeking patterns. She obtained her PhD at Universitat Pompeu Fabra in Barcelona and developed her thesis at Yahoo Labs Barcelona. Her work has been exposed in several international conferences on Computer Science and published in several journals and conference proceedings. In her free time, she enjoys hiking, practicing yoga, cooking and salsa dancing. Marco Bertetti - Data Scientist Summary: 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 the right users as many time as possible. While A/B test is a widely used and solid technique, it is not always viable when the number of possible choices is very large, hundreds or thousands of tests would be required to find the best option for each situation. This talk will firstly provide an introduction to the muti-armed bandit problem. Then, a practical comparison between bandits and classic A/B testing will be shown. Closing with a practical Bandit implementation at Skyscanner. Bio: Marco Bertetti is a Data Scientist at Skyscanner based in London, who has worked both in using reinforcement learning for mobile app content, and in shaping the structure and integrity of Skyscanner's logging and data. Before joining Skyscanner, he has worked on different problems for a variety of companies ranging from tech startup to big retailer. He obtained a degree in Globalization, International Institutions and Economic Development at the University of Trento before moving to London. In his free time, he likes photography, cooking and rock climbing.

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  • DSF Meetup with SAS

    The Hub @ SAS London

    Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by the 7th of September 2018 you have been unsuccessful in getting a ticket for this event. PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT. Please click here to apply for a ticket: http://datasciencefestival.com/dsf-meetup-with-sas/ The Data Science Festival is the first of its kind as the only community-led, free to attend Data Science Festival in the UK. Join Data Science Festival - London in partnership with SAS in September for two great speakers. SCHEDULE 6.00pm Guests arrive 6.30pm - Kayne Putman – Computer Vision applications with breakout and feedback from discussion 7.15pm – Break: drinks, food & networking 7.45pm – Kayne Putman & TBC – Computer Vision: The SAS approach 8.30pm - Networking 9.00pm – Close Kayne Putman - Analytics Consultant Summary: SAS see computer vision as one of the main analytical approaches encapsulated within artificial intelligence. The ability to apply image processing techniques, build deep learning models and deploy this insight in-batch, in-stream or at-the-edge is what is enabling businesses to drive new insight from unstructured image and video data. In our two talks, we will initially highlight how computer vision has been fuelled by advancements in technology and the lifecycle of a typical computer vision project. We will then break out and think through how some aforementioned techniques could be used to deliver a real use-case. Finally, we will wrap-up by demonstrating the approaches SAS has undertaken for some of its customers to drive real business value. Bio: Kayne has been working for SAS for over a year as an analytics consultant, but has six years of experience building analytical solutions to solve business problems for various organisations including British Airways, the NHS and GlaxoSmithKline. His previous role was leading a data science and innovation team, where the team explored the benefit of applying new technologies, new data sources and new analytical techniques to improve business decisions. Kayne graduated with an MSc in Operational Research and Applied Statistics.

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  • Hitting the rooftop of modern data architecture

    UPDATE: All tickets have now been sent out for this event. Please check your inbox. Please register for a ballot ticket here: http://datasciencefestival.com/hitting-the-rooftop-of-modern-data-architecture/ REGISTERING ON MEETUP DOES NOT GIVE YOU ACCESS TO THIS EVENT PLEASE FOLLOW THE LINK ABOVE. 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 Event at Qubole on May 22nd, 2018, the ballot will be drawn on the 18th May 2018. Those randomly selected will then be e-mailed tickets for the event, with the joining details. If you get an allocated ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable. Our next meetup is being supported by Cervello and Qubole and will be hosted at one of the most impressive rooftops in Shoreditch, The Ace Hotel. Aimed at data scientists and data experts, the interactive tech talks & whiteboard sessions will cover the make-up and experiences of how to build and utilise a Modern Data Architecture. Agenda 5:45-6:15 Mingling – beers & refreshments 6:15-6:30 Introductions & meet up group announcements 6:30-7:00 Talk #1 - Enabling Data Science through a Modern Data Architecture 7:00-7:15 Ask an Architect – grab a beer and pizza and join one of the many whiteboard sessions (data science / modern data architecture) 7:15-7:45 Talk #2 - 2018 Big Data Cloud Trends 7:45-8:15 Real-time Retail Data Science Pipeline Deep-Dive 8:15-9:00 Ask an Architect – grab a beer and pizza and join one of the many whiteboard sessions (data science / modern data architecture) Here’s what you’ll take away from this meetup: Best practices for building an end-to-end data operation in AWS from ingestion to reporting and data science The constructs of a Modern Data Architecture (MDA) in the cloud without breaking the bank Right tool right use case: Hadoop, Spark and Presto to advance your business insights - from real time analytics to machine learning and stream processing, while reducing costs on your data warehouse with proper ETL methodologies. Optimization of data pipelines using EC2 Spot Instances and other automation technologies for big data Session #1 - Enabling Data Science through a Modern Data Architecture Glyn Heatley from Cervello will talk through the principles of a Modern Data Architecture (MDA) and about the different roles Qubole plays in MDA, from data ingestion pipelines, ETL to ML. The principles of a Modern Data Architecture take into consideration the demands of high growth, innovative, acquisitive organisation that is flexible, extendable and scalable. Qubole enables flexibility in a MDA that extends beyond the rigidity of the tenets of legacy data architecture solutions. Glyn will highlight how Qubole enables businesses to leverage both governed and semi-governed data to quickly derive insights and build complex models without building out huge on-premise enterprise data infrastructure. Session #2 - 2018 Big Data Cloud Trends Ajith Ramanath, Qubole’s Technical Director of Solutions Architecture EMEA, will dive into how different Data Engineering and Analytics teams use Hadoop, Presto and Spark and why you should look at these engines for different use cases (ML, ETL, concurrent interactive analysis, etc.). As well as industry trends that are coming out of these engines for improved reliability, performance, and cost for different workloads in the cloud. Ajith will highlight some examples in which data teams are leveraging Modern Data Architectures to consume, read and productionise information, as well as how Qubole is enabling them to achieve 70-90% in cost savings at petabyte-scale.

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  • Data Science Festival Mainstage Day

    Skillsmatter (CodeNode)

    • What we'll do Data Science Festival Mainstage (Ballot ticket only) BALLOT TICKETS ARE NOW OPEN HERE: http://datasciencefestival.com/event/live/2018/data-science-festival-mainstage-day-free/ REGISTERING ON MEETUP DOES NOT GIVE YOU ACCESS TO THIS EVENT PLEASE FOLLOW THE LINK ABOVE. 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 21st April 2018, the ballot will be drawn on the 16th April 2018. Those randomly selected will then be e-mailed tickets for the event, with the joining details. Please note if you are attending any of our paid workshops on Friday, April 20th, 2018 you will automatically be sent a ticket to this MainStage event on April 10th 2018. Please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable. The Data Science Festival is the first of its kind as the only community-led, free to attend Data Science Festival in the UK. This free day will feature three-stream rooms with over 500 people attending. 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 www.datasciencefestival.com for up to date speaker information. Shacher Meir - Facebook Ankur Modi - Status Today Magda Piatkowska - BBC Ed Klinger - Flock Will Moy - Full Fact Adam Hornsby - Dunhumby Ling Zhang - Aiden AI Soledad Galli - Data Scientist Coach Kostas Perifanos - Argos Katarzyna Kulma - Aviva Raoul-Gabriel Urma - Cambridge Spark Check back in for speakers from King, Deliveroo, SAS and Funding Circle all live starting this week. • What to bring Please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable. • Important to know Doors open at 8:15AM

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  • DSF Friday Social & Networking Evening

    Microsoft Reactor

    A Friday night social and networking evening at the Microsoft Reactor, in partnership with Data Idols. This relaxed evening will offer both the opportunity to wind down with fellow data enthusiasts after a full week of data events, as well as to network with co-attendees and speakers ahead of our Saturday conference. There will be a relaxed vibe with drinks, food, music, table tennis, arcade games and foosball. Hope to see you there! 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 Social & Networking at the Microsoft Reactor, in partnership with Data Idols, on April 20th 2018, the ballot will be drawn by the 19th April 2018. Those randomly selected will then be e-mailed tickets for the event, with the joining details. BALLOT TICKETS ARE NOW OPEN - click the link below to register. http://www.datasciencefestival.com/event/live/2018/dsf-friday-social-and-networking-evening/ Please note registering on Meetup does not guarantee you a place at this event. If you get an allocated ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable. The Data Science Festival is the first of its kind as the only community led, free to attend Data Science Festival in the UK. Schedule 6.00pm – Drinks on arrival 6.15pm – Games & Networking 7:00pm – Food 7.15pm – Games & Networking 9.00pm – Close

  • Data Science Festival Workshop Day - Paid Event

    Skillsmatter (CodeNode)

    Data Science Festival Workshop Day Please note you must sign up via this link to attend this event as there are limited spaces. Sign up here for tickets: http://datasciencefestival.com/event/live/2018/data-science-festival-workshop-day/ Join us for a day of deep dive learning at our 3.5-hour workshops, offering you a chance to take part in a combination of amazing and enlightening workshops with experts in their field. Lunch will be provided from 12:30PM-1: 30 PM giving you a chance to network and mingle with your fellow attendees. Visit http://www.datasciencefestival.com/event/live/2018/data-science-festival-workshop-day/ to see workshop abstracts, pre-requisites and instructor bios. Please read the workshop speaker information and bio below for prerequisites and what to bring to your workshop. You have the option of a Half Day or Full Day ticket, you will not be able to change workshops during the day. All workshops tickets also give you a ticket to the Saturday MainStage Day on April 21st also at Skillsmatter. You will be sent your workshop ticket immediately, your ticket to the Mainstage event will be sent 1 week before the event takes place. Tickets are non-transferable and non-refundable. MORNING WORKSHOPS 9AM-12: 30 PM Introduction to Apache Spark in Python for Big Data Processing -Raoul-Gabriel Urma Intro to Python - Robert Mastrodomenico Introduction to Shiny - Tatiana Kim Distributed processing of graph data with Neo4j and Apache Spark. - Iryna Feuerstein AFTERNOON WORKSHOPS 1:30PM-5PM Getting to grips with the tidyverse (R) - Colin Gillespie Bank to the Future: Bitcoin meets Apache Hadoop - Daniel Cook Building a Python data-driven product… in 3.5 hours – Gianluca Campanella Telling stories with Data - Sophie Sparkes • What to bring Please read the workshop speaker information and bio below for prerequisites and what to bring to your workshop on http://www.datasciencefestival.com/event/live/2018/data-science-festival-workshop-day/ • Important to know Please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Registering on Meetup does not grant you entry to this event.

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  • DSF Day 4 - Neural Network Architecture for NLP at Dataiku

    Data Science Festival Day 4 - Dataiku Please note registering on Meetup does not guarantee you a place at this event. Please register for a ballot ticket here: http://datasciencefestival.com/event/live/2018/dsf-day-4-neural-network-architecture-for-nlp-at-dataiku/ 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 Event at Dataiku on April 19th 2018, the ballot will be drawn on the 17th April 2018. Those randomly selected will then be e-mailed tickets for the event, with the joining details. If you get an allocated ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable. The Data Science Festival is the first of its kind as the only community led, free to attend Data Science Festival in the UK. Schedule 6.00pm Guests arrive 6.30pm- Alexandre Hubert - A Novel Neural Network Architecture for Natural Language Processing (NLP) 7.15pm - Harvinder Atwal from MoneySuperMarket on "DataOps: Delivering Agile Data Science 8.00pm – Networking, food, drinks 9.00pm - Close Speaker 1: Alexandre Hubert - A Novel Neural Network Architecture for Natural Language Processing (NLP) Talk Abstract: Deep Learning in NLP has been dominated in the past years by recurrent and convolutional models. But other models emerge to improve translation quality and performance. Alex has developed a translator for his team and clients using a new neural network architecture called the Transformer. Unlike traditional translator models, this one solely focuses on attention instead of recurrence and develops powerful NLP models in a fraction of the training time. Alex will explain how the translator has been built, give a live demo, and discuss how the Transformer is able to overcome pitfalls of RNN models. Bio: As a data scientist, Alexandre has worked on a range of use cases, from creating models that predict fraud to building specific recommendation systems. He especially loves using deep learning with text or sports data. Even when he’s playing sport or having fun with friends, Alexandre sees numbers and patterns everywhere, bringing him quickly back to his laptop to try out new ideas. He has been a data scientist at Dataiku for more than two years. He works on several bank use cases as loan delinquency for leasing and refactoring institutions but also marketing use cases for retailers. Speaker 2: Harvinder Atwal from MoneySuperMarket on "DataOps: Delivering Agile Data Science Talk Abstract: DataOps: Delivering Agile Data Science. The majority of organisation fail to create business value from their investments in data. Most implementations are either high cost IT projects, local applications that are not built to scale for production workflows or laptop data insight projects that never impact customers. The key to adding value is to adapt and borrow principles from Agile, Lean and Dev Ops. However, Agile Data Science is not just about shipping working machine learning models, but starts with better alignment of data science with the rest of the organisation and its goals. This presentation will outline practical solutions to increasing the velocity of value creation including: prioritisation, new processes for an end-to-end data lifecycle, people and organisation changes to improve collaboration, tools and solution architectures to reduce data friction. Bio: Harvinder Atwal leads a team of Data Scientists to deliver data-driven personalisation; develop the Data Strategy to support Advanced Analytics and define Data Science best practise in MoneySuperMarket. Harvinder was previously Insight Director for Tesco Clubcard at Dunnhumby and Senior Manager for Customer Strategy and Insights at Lloyds Banking Group. He is passionately interested in Data Science, Machine Learning and Big Data technologies .

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