Predictive Analytics World London
etc.venues, 155 Bishopsgate, 28-29 October, 2015
Dean Abbott is Co-Founder and Chief Data Scientist of Smarter Remarketer, Inc., and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.
He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).
Information about Dean Abbott's session will follow soon.
With a degree in Mechanical Engineering and a Masters in Music Composition, Hedley Aylott’s route to leadership of a Top 10 digital company is, to say the least, unconventional.
In 1995, he worked with a group of prisoners in Manchester’s HMP Strangeways, recording and releasing a Top 40 single – and winning a BAFTA in the process.
Hedley launched Summit in 2000 at HMP Humber to provide online strategy, marketing and technology to businesses whilst establishing a rehabilitation programme for prisoners.
Today Summit is a multi-award winning business with a turnover in excess of £40 million and employs over 120 staff at its offices in Yorkshire, London and Prague.
Summit helps some of Europe’s most successful retailers and brands such as Argos, Homebase, Selfridges, Carpetright, Office Depot, Reckitt Benckiser transform the way they trade online.
Hedley is an engaging and enthusiastic speaker about all aspects of business, retail and a Digital evangelist.
Away from work, Hedley is a passionate polo player, pilot, water-ski instructor and sailor.
Hedley Aylott is speaker of the following session:
Nick Clarke is Head of Analytics at Tessella. After a research career in chemical physics Nick joined Tessella in 1999 to utilise the same set of skills to make data talk in the commercial sector. Nick now leads Tessella’s analytics division, crafting managed analytics services offerings that support data-driven enterprises to generate maximum value from their data and technology platforms.
Nick Clarke is speaker of the following session:
Sven F. Crone is an Assistant Professor in Management Science at Lancaster University, UK, where his research on forecasting with artificial intelligence has resulted in 40+ peer reviewed articles (including EJOR, JORS, IJF) and received international awards. As the Deputy Director of the Lancaster Centre for Forecasting, with 15 members of staff & PhD students one of the largest units dedicated to business forecasting, Crone has more than 10 years of consultancy experience in corporate projects, including supply chain forecasting (e.g. Beiersdorf, Sanofi-Aventis, Bayer, Celanese, Hapag-Lloyd), retail forecasting (e.g. Tesco, Morrisons, Sainsbury, Wilkinsons), and utilities demand and price forecasting (e.g. DONG, Codelco). Crone regularly provides corporate training courses for the Forecasting Centre, IBF and IEEE worldwide as well as custom-made in-house courses. He has been a regular speaker at 50+ academic and practitioner conferences, including different keynote lectures.
Prof. Dr. Sven Crone is speaker of the following sessions:
Prof. Dr. Sven Crone is moderator of the following sessions:
- My Three Predictive Analytics Pet Peeves
- The Soul in the Machine: Anomaly Detection meets Image Mining in Predictive Maintenance
- Web Analytics to Optimize Keyword Selection and Pay-Per-Click Pricing for Online Retailing - A Collaboration between Summit and Argos
- Leveraging Big Data With Predictive Analytics
- How to Surf a Data Lake without Drowning? Leveraging the Data Landscape at GfK for Better Predictive Analytics
- Top Five Technical Tricks to Try when Trapped
- What Happened to Data Warehousing? Challenges & Opportunities in the Rapidly changing era of Predictive Analytics
- Removing the Barriers to Rapid Analytics in R&D at GlaxoSmithKline – The Inside Story of an Analytics Partnership
- How Valuable is Your Hotel? A Case Study of Using Predictive Analytics at Expedia
- Predictive Customer Interaction Beyond Attribution - Keep your friends Close but your Enemies Closer
- Developing Predictive Web Analytics at iProspect - Statistical Techniques or Machine Learning?
- Spotting Unusual Behavior in Internet Traffic Data: A Case Study of Predictive Analytics Usage at uSwitch
- AFRAID: An Active Inference Approach for Fraud Detection Using Advanced Social Network Analysis
- Guerrilla Analytics: 7 Principles for Delivering Predictive Analytics in Dynamic Fast-Paced Projects
- Analytics in the Supply Chain – Forecasting, Cross-Selling and Pattern Recognition at Shell
- Predictive Analytics for Personal Banking - Enhancing Credit Scoring with Transactional Customer Data and Genetic Algorithms
Head of Analytics
Dr. Richard Davis is Group Head of Analytics at Lloyds Banking Group. He leads a team of data scientists who work across the Group looking to employ novel analytical solutions to problems facing the bank. This encompasses a number of “Big Data” technologies from data acquisition and cleansing, visualisation including dynamic dashboards, predictive analytics and data mining using artificial intelligence. Richard has previously held roles in alternative investments companies where he developed machine learning tools for hedge funds. Prior to this he was a researcher in applied mathematics, he has a PhD in Chemistry where he developed a non-lethal diagnostic test for mad cow disease.
Richard Davis is speaker of the following session:
Dr. John Elder
Founder & Chair
John Elder chairs America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.
Dr. John Elder is speaker of the following session:
Dr. Usama Fayyad
Usama is Founder of Open Insights working on AI/Machine Learning, BigData strategy. Previously he was the Global Chief Data Officer at Barclays in London (2013-2016). He was the first person ever to hold the Chief Data Officer (CDO) title when Yahoo! acquired his second startup in 2004. Usama earned his Ph.D. in engineering in AI/Machine Learning from the University of Michigan. He has published over 100 technical articles on data mining, data science, AI/ML, and databases; and holds over 30 patents.
Dr. Usama Fayyad is speaker of the following session:
Management Consultant & Analytic Solutions Architect
In more than 12 years of professional experience working with large multinationals and institutions across the globe, provided leadership and problem solving expertise on various operational improvement initiatives. Functional expertise ranges from business analysis using advanced simulation and predictive modelling techniques to project and product management, operational and process reengineering, marketing mix optimisation, strategic cost reduction and risk assessment. Industry experience covers a wide range from Defence, Healthcare and Energy to Education, Banking, Consumer Goods (FMCG) and Marketing.
Michael Georgakopoulos is speaker of the following session:
Alwin holds a Phd in Applied Mathematics and studied in London, Berlin and Amsterdam. His main fields of interest are the modeling of customer purchasing behavior, forecasting and optimization under uncertainty. He is the founder of the Analytics & Data Science consultancy Haensel AMS – Advanced Mathematical Solutions. Most recently, he concentrated on topics such as: omni-channel attribution, personalized recommendations, dynamic pricing, as well as specific data mining and forecasting projects.
Dr. Alwin Haensel is speaker of the following session:
Alex Hancock is Head of Treasury Analytics for Shell. He leads the Treasury Analytics Team in tackling challenges such as short and long term cash forecasting, counter party exposure, credit & risk. In a former role he was Analytics Manger for Shell Lubricants Supply Chain with a focus on forecast accuracy, supply chain optimisation and inventory management.
Alex Hancock is speaker of the following session:
Abigail has a background in probability and statistics and a PhD in Queueing Theory from Imperial College London. As Principal Analyst at uSwitch, she focuses on using statistical and machine learning techniques to get the most value out of available data. Abigail is passionate about encouraging an understanding of uncertainty in both big and small data.
Abigail Lebrecht is speaker of the following session:
Dr. Anna Machens
Data Scientist GfK Data Lab
Anna is a Data Scientist at GfK Data Lab. Together with an international team of Data Scientists and Data Science Engineers she researches the possibilities of GfK’s data landscape and develops data-driven products. Before joining GfK she worked as a Data Science freelancer in South East Asia. She holds a PhD in physics from Aix-Marseille University where she did research on epidemic processes on dynamic networks.
Dr. Anna Machens is speaker of the following session:
Costas’ professional journey was “digital” all the way!
Starting in 2001 as an e-business consultant, he was the founder and CEO of Mindworks Interactive since 2003. By 2015, when Mindworks was acquired by Dentsu Aegis Network, it had already become the fastest growing and biggest independent digital agency in Greece, with a team of over 60 people and a leading position in performance marketing and online communications in general.
In the same time, never-resting Costas had also managed to create and then sell 2 more start-ups.
Since 2015, Costas and Mindworks are proud members of the global Dentsu Aegis family and he is the Managing Director of iProspect Greece.
Costas believes that data beats opinion. He works with some of the leading brands in Greece and abroad such as Allianz, Mondelez, Aegean Airlines, Heineken, to support data-driven strategic decisions.
Costas Mantziaris is speaker of the following session:
Stephen Pickett, Ph.D. works in the Computational Chemistry department at GlaxoSmithKline, leading a team of scientists applying state of the art computational methods to drug discovery. He has over 20 years experience in pharmaceutical R&D and is an author of over 40 peer-reviewed scientific articles and six patent applications.
Stephen Pickett is speaker of the following session:
Head of Algorithms
Enda is Data Scientist with over 10 years experience and author of the book “Guerrilla Analytics – a practical approach to working with data”. He is currently building a Data Science team and capability at Sainsbury's, one of the UK's largest grocery retailers.
Enda has significant experience across the predictive analytics life cycle. He has worked in pre-sales of social network software for fraud detection and as a professional services consultant helping clients in government, financial services, insurance, and audit. His Data Science has been reported to high-profile stakeholders including regulators, banking CROs, government committees and international bodies. Enda's PhD was in "Design of Experiments for Tuning Algorithms", establishing methodical approaches to evaluating predictive analytics solutions.
You can find further information at: http://guerrilla-
Enda Ridge is speaker of the following session:
Sandro Saitta is a Data Scientist Manager at Expedia. He has 7 years of experience in different industries such as Civil Engineering, Finance, Telco, Security and Travel. More particularly, he applied data science in topics such as system identification, stock picking, online advertising, ink authentication and competitive intelligence. He is a blogger at www.dataminingblog.com and President of the Swiss Association for Analytics (www.swiss-analytics.com). Sandro holds a Master and PhD in Computer Science from EPFL.
Sandro Saitta is speaker of the following session:
Head Business Intelligence/BigData Services
Victor Schlegel began his career in Japan at Fujitsu Inc., Global Marketing Department. After further positions at T-Systems and Credit Suisse where he worked as Black Belt in efficiency projects, he took the position in the strategy department of Swisscom Inc., where he developed and rolled out analytical services.
Information about Victor Schlegel's session will follow soon.
Veronique Van Vlasselaer
Véronique Van Vlasselaer graduated magna cum laude as Master Information Systems Engineer at the faculty of Business and Economics, KU Leuven (Belgium). For her master thesis topic “Mining Data on Twitter”, she received the best thesis award from the faculty’s student branch.
In 2012, Véronique started as a Ph.D researcher with prof. Bart Baesens at the Faculty of Business of Economics at KU Leuven, department of Decision Sciences and Information Management. Her main research topics include social network analytics, fraud detection and net lift modeling.
Veronique Van Vlasselaer is speaker of the following session:
Werner is Finance Director at Bookit BV, a short break specialist for hotels and holiday parks with market leading positions in the Netherlands, the main website are Weekendjeweg.nl and BungalowS.nl. He holds an MSc in Environmental Science and Business Administration, as well as an executive master in finance & control. Werner is a heavy R user and a big-data enthusiast.
Werner Vorstmann is speaker of the following session:
Phil Winters is known internationally as The Father of Customer Intelligence. An independent business advisor, author, keynote lecturer and workshop leader with 35+ years' experience working with some 300 companies, he focuses on Customer Intelligence and championing the customer perspective to help organizations raise customer value through outstanding customer experience.
Phil Winters is speaker of the following session:
Ralph is heading up GfK Data Lab – a new, global Data Science team that focuses on researching, leveraging, and enhancing GfK’s data landscape, experimenting with new data sources, and developing valuable data-driven products.
He started his career in GfK’s Marketing & Data Science unit in 2005 and quickly became a renowned methodology expert in the market research community. Prior to launching the Data Lab, Ralph was part of the Global Innovation team, managing all stages of GfK’s innovation process – from continuous monitoring of emerging digital trends and strategy development to the roll-out of new, innovative market research tools.
Ralph holds a PHD in statistics and is author of numerous articles and conference papers.
Dr. Ralph Wirth is speaker of the following session:
Prof. David Wooff
Mathematical Sciences and Statistics and Mathematics Consultancy Unit
David is Professor of Statistics at Durham University , and Director there of the Mathematical Sciences Consultancy Unit. He has been working in the area of applied statistics for around 40 years, with particular interests in Bayesian statistics and applications of statistics to commercial and industrial problems. He has published around 70 articles and books on a wide variety of applications. For the past six years he has been deeply involved in developing award-winning statistical methods and predictive analytics in digital commerce, in collaboration with Summit.
Prof. David Wooff is speaker of the following session: