• Aberdeen Data Meetup Jan 2019

    Bistro 210

    6.30 for pizza and beers. Talks start 7pm ****************************** Talk 1 "#ScotWiki and other stories" - Dr Sara Thomas Sarah, who is Scotland Programme Coordinator at Wikimedia UK, has been in post since April 2018. She was the Wikimedian in Residence at the Scottish Library and Information Council [masked]), and at Museums Galleries Scotland (2015 - 2016). Sara joins us to talk about the work that Wikimedia UK is doing across Scotland, in libraries, education and heritage. Talk 2 "Automated Artificial Intelligence" Dr Andy Starkey The explosion of activity and interest in AI and machine learning has reached all industry sectors which has meant that the data scientists required to build these solutions are in high demand. Research at the University of Aberdeen has focussed on the development of automated methods of analysing data, and this talk will give an overview of the normal process of building AI solutions and then the improvements to be made by automating this process. The talk will give examples of where it has been applied and show the type of results that can be obtained and also some currently work being undertaken with industry. Dr Andrew Starkey is a lecturer in the School of Engineering at the University of Aberdeen. He has over 20 years of experience in Artificial Intelligence and currently is supervisor of a number of PhD students who are all involved in work related to automated data analysis using AI techniques or autonomous learning. He has previously been involved in research work with AI that resulted in commercial licenses that won a number of industry awards. He is CEO of a spinout company from the University that specialises in automated data analysis using AI technology. He has recently won research funding for projects with Halliburton and WFS in the area of the application of AI technologies. Thanks to MBN Solutions, Data Lab Scotland, and Scotland IS for sponsoring this event. ***************************** Photo by James L.W on Unsplash

  • Anatomy of a Data Science Project

    Incremental Group

    Anatomy of a Data Science Project – this session will walk through what typically goes into a good data science solution and some advice on how to structure a project for ease of understanding and repeatability. An introduction to network analysis – What is Network analysis, where it comes from with some examples and what it can be used for. Speakers: Adam Sroka - Senior Data Scientist at Incremental Group - https://www.linkedin.com/in/aesroka Ricardo Antunes - Data Scientist at Incremental Group - https://www.linkedin.com/in/ricardo-antunes-764755123 Adam and Ricardo are the two leading Data Scientists at Incremental Group helping a wide range of Organisations with Data Science projects. Adam first starting using machine learning during his Doctorate of Engineering at the University of Strathclyde. He has worked as a data scientist since then, working primarily with large data volumes and taking models from experimentation through to production. Ricardo original trained as a marine biologist where he learned data science as part of his Doctoral research project on whales. He has working in a wide range of academic and consultancy roes. Agenda: 6:30 PM – 7:00 PM: Networking 7:00 PM – 08.00 PM Presentations / Q & A Session 8.00 PM - 9.00 PM: Networking and Drink

  • Dec 2018: The Data Detective, Protecting your IP rights

    6.30 for pizza, beers and networking. Talks start 7pm ****************************** Talk 1 Alan Russell - “Visualising the ownership of Scottish football” Alan Russell will share insights from his work on using data visualisations using Tableau to explore Scottish football clubs’ approach to supporter engagement and transparency, and to improve visibility of clubs’ ownership through the ‘SDS Index’. Alan will also share some earlier work done to improve supporters’ understanding of the history and ownership structure of the club he supports, Raith Rovers FC. Bio: Alan Russell is CEO of Supporters Direct Scotland and Chair of the Raith Supporters Trust, two organisations that help supporters gain influence in the running and ownership of their club. In his spare moments away from football he works as a management consultant, supporting global and local clients in the corporate and non-corporate sectors to develop and implement strategy. Talk 2 -Dr. Graham McGlashan “The Value in Data and How to Protect It – Intellectual Property (IP) for Data Related Businesses” Where is the value in a data related business? Is it in the data itself? Perhaps it is in the way the data is collected, analysed or used? Often these intangible assets are the result of a significant amount of skill, expertise, insight, experience, time and money. For many companies, these intangible assets can contribute a sizable amount to the value of a business. Intellectual property (IP) protection is intended to cover these very assets. However, modern IP has its roots in systems that date back hundreds of years and often struggles to adapt to modern technologies such as data based industry and machine learning. This talk is intended to give an introduction to how intellectual property protection applies to data related ideas and businesses, and give some suggestions of ways in which it can be used. Biog Dr Graham McGlashan is a Partner at Marks & Clerk, the largest firm of specialist Patent & Trademark Attorneys in the UK. Graham specialises in computer implemented inventions, data related concepts, machine learning, virtual/augmented reality, electronics, networks, communications and sensors. He advises a range of clients from some of the largest and most famous multinational tech companies, to small Scottish start-ups looking to make a difference. Before entering the IP profession, Graham worked in R&D for both multi-nationals and small spin-outs and was a named inventor on a number of patents before changing track to help others with their IP strategy and protection. Thanks to MBN Solutions, Data Lab Scotland, and Scotland IS for sponsoring this event. ***************************** Photo by Click and Boo on Unsplash

  • How do we create a culture of sustainable business growth through Data?

    Sign up here - https://www.eventbrite.co.uk/e/the-scotsman-conferences-data-innovation-series-tickets-51802479611 This expert discussion is part of the Scotsman’s Data Driven Innovation series. The panel will explore how important is it for companies to develop a culture which promotes growth through data and encourages the development of new and existing talent within their organisations. The debate will place data skills in a wider context and consider how important they are in enabling companies in Scotland to embrace the data opportunity: Why is data key to Scotland’s future economic growth and how do we ensure broad adoption and data innovation across all sectors? What needs to be done to address the digital skills gap to develop a diverse and globally competitive talent pool, and research infrastructure that contributes more to the Scottish economy? What are the key data challenges that are facing businesses on the ground and how can these be overcome? Agenda: 11:30am: Arrivals and refreshments 12:00pm: Panel discussion and Q&A sessions 1:30pm: Networking 2:00pm: Close The panel includes: Paul Forrest – Chairman at MBN Solutions - https://www.linkedin.com/in/pdf66 Elizabeth Hollinger – Head of Analytics and BI for Aggreko - https://www.linkedin.com/in/elizabeth-hollinger-31055234 David Smith – Sector Director Digital Technology at Scottish Enterprise - https://www.linkedin.com/in/david-smith-1b0155 Ed Broussard – Co-founder & CEO at Mudano - https://www.linkedin.com/in/broussarded David Tracy – Chief Analytics Officer at Castlight Financial - https://www.linkedin.com/in/david-tracy-003415124 Dr Katharina Kaesehage - University of Edinburgh -https://www.linkedin.com/in/kathi-kaesehage-114a6018 Supporters MBN solutions - www.mbnsolutions.com Scottish Enterprise Edinburgh University Venue The University of Edinburgh Holyrood Campus, Paterson's Land Building Edinburgh, EH8 8AQ Organiser The Scotsman Conferences Phone:[masked] Email: [masked] Website: www.scotsman.com

  • Commercializing Analytics, ML and AI & Ted Dunning (Kubernetes and Big Data )

    Presentation 1 - Marta Portugal & Vicky Byrom - Merkle|Aquila - Commercializing Analytics, Machine Learning and AI Marta Portugal - https://www.linkedin.com/in/martaportugal Vicky Byrom - https://www.linkedin.com/in/vicky-byrom-00270582 Vicky is the Head of Analytics at Merkle|Aquila. She has over 20 years experience in delivering analytics and actionable insights to large organisations. She is passionate about incorporating latest analytical developments into practical analytical solutions for our clients. As both a statistician and management accountant she bring a strong value focus to analysis – both customer value and marketing optimisation Vicky’s aim is to take the complexity out of analytics. She is a firm believer that analytics should be delivered in the right language - not shrouded in complex jargon and latest buzz words. Marta is a Senior Data Scientist at Merkle|Aquila. She has graduated with a MSc in Statistics and Operations Research and has since gained expertise in using statistical and ML techniques including image analysis (real time), predictive modelling, segmentation, neural networks and random forests in order to improve customer acquisition and retention. Marta devotes a lot of her time developing and mentoring junior data scientists within the organisation and has recently developed Merkle|Aquila’s Graduate Programme. Ted Dunning - Chief Application Architect at MapR - https://www.linkedin.com/in/teddunning Kubernetes and Big Data The folk wisdom has always been that when running stateful applications inside containers, the only viable choice is to externalize the state so that the containers themselves are stateless or nearly so. Keeping large amounts of state inside containers is possible, but it’s considered a problem because stateful containers generally can’t preserve that state across restarts. In practice, this complicates the management of large-scale Kubernetes-based infrastructure because these high-performance storage systems require separate management. In terms of overall system management, it would be ideal if we could run a software-defined storage system directly in containers managed by Kubernetes, but that has been hampered by lack of direct device access and difficult questions about what happens to the state on container restarts. Ted Dunning describes recent developments that make it possible for Kubernetes to manage both compute and storage tiers in the same cluster. Container restarts can be handled gracefully without loss of data or a requirement to rebuild storage structures and access to storage from compute containers is extremely fast. In some environments, it’s even possible to implement elastic storage frameworks that can fold data onto just a few containers during quiescent periods or explode it in just a few seconds across a large number of machines when higher speed access is required. The benefits of systems like this extend beyond management simplicity, because applications can be more Agile precisely because the storage layer is more stable and can be uniformly accessed from any container host. Even better, it makes it a snap to configure and deploy a full-scale compute and storage infrastructure Agenda: 6:30 PM – 7:00 PM: Networking 7:00 PM – 7:30 PM: Marta Portugal & Vicky Byrom - Merkle|Aquila 7.30 PM – 7.45 PM: Q & A Session 7:45 PM – 8:15 PM: Ted Dunning - Chief Application Architect at MapR 8:15 PM – 8:30 PM: Q & A Session 8.30 PM - 9.00 PM: Networking and Drink

  • Data Panel @ https://www.digitexpo.uk

    Scotland’s Data Science & Technology Meetup at DIGIT Expo On 14th November. This hour long event will be one of many on an excellent day - Register now for DIGIT Expo The event is free to attend - Register online now at: https://www.digitexpo.uk Scotland’s Data Science & Technology Meetup will be hosting a guest session at DIGIT’s inaugural Tech Expo at the EICC in Edinburgh. The session will explore how to improve the process of delivering organisational value from data science. The session will be run as a panel discussion, hosted by Paul Forrest (https://www.linkedin.com/in/pdf66 ) Chairman of MBN Solutions, joined by an impressive line-up of data practitioners from Scotland’s business community. Panellists include: • Gillian Docherty, CEO, The Data Lab - https://www.linkedin.com/in/gillian-docherty • Martin Thorn, Senior Manager: Decisioning, Analytics & AI, CYBG - https://www.linkedin.com/in/martin-thorn • Dave Oliver, Head of PBB MI, RBS - https://www.linkedin.com/in/dave-oliver-a8083417 • Nuala Kennedy-Preston, Chief Data Officer, People’s Postcode Lottery - https://www.linkedin.com/in/nualakp • Sorcha Lorimer, Founder and Data Privacy Specialist, Sympatico - https://www.linkedin.com/in/sorchalorimer DIGIT Expo is Scotland largest enterprise IT & Digital showcase, with over 1000 delegates, 30 speakers, 60 exhibitors and 4 conference streams. Keynote Speakers: • Karl Surmacz, Principal Data Scientist, McLaren • Craig Fenton, Director of Strategy & Operations, Google • Jessie Link, Head of Engineering, Twitter • Jacqueline Guichelaar, CIO, Thomson Reuters • Ian Trump, Head of Cyber Security, AmTrust International • Candace Kuss, Director of Social Media, H+K Strategies

  • Nov 2018 - IoT and Data // Rural and City

    Bistro 210

    6.30 for pizza and beers. Talks start 7pm ****************************** Talk 1 SmartRural - The journey and anatomy of a data point. You’ve heard about “Farm to Fork”, but what about “Farm to Server and back Again”? How do we gather new actionable data and add value to the rural ecosystem? SmartRural is establishing a user owned cooperative LPWAN to be deployed across rural Scotland. The aim of this is to bring digital connectivity and innovation to every corner of Scotland, uniquely servicing the Scottish Government’s Digital Strategy objective of “Outside In”. This new infrastructure will facilitate an explosion in LPWAN IoT with a accompanying tsunami of data, but what does this new data actually look like, how will it arrive, how can we access it and what can we do with it? Talk 2 - TrustLens Project The Internet of Things (IoT) concept refers to the seamless integration of physical objects, sensors and mobile devices onto the Internet. The IoT encompasses many different technologies, services and standards, however IoT solutions comprise more than just the hardware and software necessary to realize the technical infrastructure. They also include the human actors, organisations, policies and regulatory systems involved. With some estimates predicting 50 billion devices by 2020, and the proportion of data collected passively through machine-to-machine transactions surpassing that actively generated by individuals - solutions are needed to strengthen trust. We work with communities and individuals to explore what it means to realise solutions that are transparent, accountable, and which empower end-users. The TrustLens is our vision of a future toolset that will enable individuals, and the communities of which they are a part, to better understand and manage the data about them. Dr Naomi Jacobs is a Research Fellow at the University of Aberdeen whose various work focuses on the societal impacts of technology in digital and physical spaces. Naomi's research interests include interdisciplinarity, digital public space, and the impact on communities of internet of things technologies, particularly with regards trust and transparency. Dr Milan Markovic is a Research Fellow at the University of Aberdeen with interests in semantic modelling of trust and transparency in the IoT domain. His current work is centred around the design and utilisation of semantic models for capturing provenance of IoT deployments and automated privacy risk assessment mechanisms. Thanks to MBN Solutions, Data Lab Scotland, and Scotland IS for sponsoring this event. ***************************** Photo by Andreas Dress on Unsplash

  • Aberdeen Data Meetup Oct 2018

    Bistro 210

    6.30 for pizza and beers. 7pm “The need for Awesome Data Quality” - Jan Saevanee Abstract Do you hate inconsistent excel worksheets? Have you heard the saying rubbish in rubbish out? We want to share our story on these issues and search for a solution with you. Due to unclear requirements, unformatted and inconsistent data structure the Business Intelligence team had a setback while creating data visualization reports. The team spent a lot of time in the ETL process. Which meant that we created less valuable reports. The value was lost because we did not understand the vision and the story behind the need for such visualizations. Our proposal is to create a data pipeline and qualification process.” Jan is part of Business Intelligence team at Aberdeen City Council. The BI team is responsible for creating data visualisation to help decision makers make a better decisions based on evidence. Jan will present the topic alongside Real and Maksim, internship students from university of Aberdeen. ***************************** Talk 2 - Dr. Caroline Chibelushi AI and the innovate UK Knowledge Transfer Network (KTN) Caroline will speak about: - KTN and its support to business - Robotics and Artificial Intelligence (RAI) Industry Showcase 2019 (see https://dev.ktn-uk.co.uk/preview?type=news&id=21879) - RAI Pichfest - To ask the audience if they could come forward to be recorded for a case study. - Sectors which from our experience have high demand for AI. =============================== Thanks to MBN Solutions, Data Lab Scotland, and Scotland IS for sponsoring this event. ***************************** Photo by rawpixel on Unsplash

  • Castlight Financial & Previse (Scottish Fintech Companies) Talk Data Science

    This meetup is part of Fintech Scotland Fortnight - https://www.fintechscotland.com/fintech-fortnight This Meetup will be in Glasgow - Location TBC Presentation 1 - David Tracy - Chief Analytics Officer - Castlight Financial https://www.linkedin.com/in/david-tracy-003415124 David is responsible for ensuring Castlight’s products leverage the latest state-of-the-art data science techniques, and for creating innovative new products to help lending institutions and consumers take advantage of the new opportunities afforded by open banking, by giving them the tools they need to make better financial decisions. David has built and led data science teams in the UK and internationally, most recently founding and developing the data science team at web-based fantasy sports company FanDuel, where he mechanised advanced methods of data modelling to predict the behaviour of its 6 million registered users. David has also worked widely across the UK and Europe’s insurance sector at Kwik-Fit Insurance, Ageas and Tesco Bank. During his time in the analytics department at Tesco Bank he was responsible for using data science to support the marketing function by building tools to forecast consumer behaviour and develop evidence-based “what-if” scenario modelling. Presentation 2 - Richard Carter - Data Scientist - Previse https://www.linkedin.com/in/richard-carter-a4bbb1116/ Previse (http://previ.se) is one of The FinTech50 in 2018, and was recently named Digital Service Company of the Year in the Digital Technology Leaders Awards. Previse's innovative technology uses machine learning to enable corporate buyers to pay their suppliers instantly upon receipt of an invoice. Suppliers benefit from this by eliminating the need for expensive short-term credit and gaining certainty around cash-flows. Buyers benefit by building a reputation as a business that treats suppliers fairly, thus becoming a "buyer of choice". Richard Carter is a Data Scientist at Previse. In his previous role at The Data Lab Richard spoke to and advised hundreds of data businesses in Scotland. He feels that Previse has the most compelling data-led business case he has seen, and hence joined the company three months ago. Richard's background is one of mathematical modelling and finance. At the start of his career he worked in the City, including on the commodities trading desk at Goldman Sachs. He returned to academia to complete a PhD on machine learning applied to poker, then built algorithmic trading models to bet on sports for eight years as a professional gambler. His work at The Data Lab and as an independent consultant has given Richard exposure to a broad range of data science challenges, including quality assessment in the whisky industry, predicting delayed discharges in the Scottish NHS, and the construction of an automated Bitcoin trader. Agenda: 6:30 PM – 7:00 PM: Networking 7:00 PM – 7:30 PM: David Tracy - Chief Analytics Officer - Castlight Financial 7.30 PM – 7.45 PM: Q & A Session 7:45 PM – 8:15 PM: Richard Carter - Data Scientist - Previse 8:15 PM – 8:30 PM: Q & A Session 8.30 PM - 9.00 PM: Networking and Drink

  • H2O.ai Talk Fintech (Machine Learning / AI) in Edinburgh

    This event is part of Fintech Scotland Fortnight - https://www.fintechscotland.com/fintech-fortnight This event will be held in the Bayes Centre. H2O.ai Talk Fintech in Edinburgh Presentation 1 - Dirty Money: Detecting Money Laundering with Machine Learning Ashrith Barthur - Security Scientist at H2O - https://www.linkedin.com/in/abarthur In this talk, Ashrith will be introducing you to the idea of using machine learning for detecting money laundering. The idea behind using ML for detecting money laundering is that the current rules-based engine have limited visibility into money movement. And as models learn the nuances of money movement, especially illegal, much better money laundering detection is possible. Ashrith Barthur is a Security Scientist at H2O currently working on algorithms that detect anomalous behaviour in user activities, network traffic, attacks, financial fraud and global money movement. He has a PhD from Purdue University in the field of information security, specialized in Anomalous behaviour in DNS protocol. Presentation 2 -An Introduction to H2O Driverless AI - Automatic Machine Learning for the Enterprise Jo-fai (Joe) is a data science evangelist at H2O.ai. - https://www.linkedin.com/in/jofaichow Before joining H2O, he was in the business intelligence team at Virgin Media where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at external events. Joe has a background in water engineering. Before his data science journey, he was an EngD researcher at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK and abroad. He also holds a MSc in Environmental Management and a BEng in Civil Engineering. H2O will be giving away special prizes at the end of the event. Agenda: 6:30 PM – 7:00 PM: Networking 7:00 PM – 7:30 PM: Ashrith Barthur - Security Scientist at H2O - https://www.linkedin.com/in/abarthu 7:30 PM – 7:45 PM: Q & A Session 7:45 PM – 8:15 PM: Jo-fai (Joe) is a data science evangelist at H2O.ai. - https://www.linkedin.com/in/jofaichow 8:15 PM – 8:30 PM: Q & A Session 8.30 PM - 9.00 PM: Networking and Drink