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Speakers Predictive Analytics World London 2011

Vladimir Anisimov, Senior Director, GlaxoSmithKline

Vladimir AnisimovVladimir joined GSK in 2002 and has been working mainly in the area of stochastic modelling of clinical trials. He led the development and implementation at GSK of the innovative predictive patient recruitment and risk-based drug supply analytic modelling tools. He was born in Kiev, Ukraine, and received MS, PhD and ScD (Hab.Dr.) degrees in the field of Probability Theory & Mathematical Statistics from Kiev National University. He established the Applied Statistics Department at the Faculty of Cybernetics, and served as Full Professor and Head of Department in Kiev University for more than 20 years. He also published about 200 papers, 3 monographs and several books in the area of stochastic models, applied probability and statistics, queueing and reliability models, asymptotic analysis, supervised 24 Ph.D. theses. He has also been elected member of the National Academy of Sciences in Ukraine, is a member of several International Societies, and has supervised numerous industrial projects and some EU projets.

Predictive Analytic Patient Recruitment and Drug Supply Modelling in Clinical Trials


Claire Aspinall, Renewals Manager, IPC Media

Claire AspinallClaire Aspinall has over ten years’ direct marketing experience and has worked as a Subscriptions Marketing Manager at IPC Media since 2009, with retention being her most recent area of focus.

She holds a joint B.A hons degree in English and French literature and the CIM post-graduate Certificate and Diploma in marketing.

Proving the value of Prediction in Magazine Subscriptions


Uros Bole,Principal, Pikarp d.o.o.

Uros BoleUros Bole has a business background (MBA and various leadership positions in the engineering, retail, education and manufacturing industries). He became passionate about issues relating to the integration of predictive analytics in organisations after joining a startup predictive analytics consultancy in 2006. Through his involvement in PA projects in the metallurgy, retail and entertainment industries he sensed that a major obstacle to wider acceptance of PA in organisations is the difference in the way of seeing problems, solutions and communicating the ideas involved between business and analytics people. In 2008 he started a Ph.D. at Jozefa Stefana International Postgraduate School with the aim of proposing a methodology which would facilitate the integration of PA in organisations.

A Proposed Methodology for Integration of Predictive Analytics in Organisations


Mike Bugembe, Head of Analytics, JustGiving

Mike BugembeMike is the head of business analytics at JustGiving.com, the UK's largest online fundraising platform. He joined JustGiving in May 2010 to spearhead some exciting data mining and business intelligence initiatives in the world of fundraiser analytics. He has a wealth of experience in information management, statistical analysis and the strategic implementation of management information solutions.

Previously, Mike worked as a consultant and has delivered statistical models, business intelligence strategies and solutions across a wide variety of industries, ranging from online retail through to the glamorous world of diamonds with the mining group De Beers - where he was the head of business intelligence.

He holds an MBA from Cranfield School of Management and a degree in Electronic Engineering.

Analytics at JustGiving - Using Data to Unlock and Increase Individual Generosity


Subhamitra Chatterjee, Marketing Analyst, Hewlett-Packard

Subhamitra ChatterjeeSubhamitra Chatterjee is a Marketing Analyst at Hewlett-Packard with 11 months work experience. He holds a Masters degree in Economics from Jadavpur University, Kolkata, India.

Churn/Threat Prediction Analysis in B2B by Value Movement Analysis


Anindya Dey, Analytics Consultant - GBS Analytics, Hewlett-Packard

Anindya DeyAnindya Sankar Dey is currently an Analytics Consultant in GBS Analytics, Hewlett-Packard. He has about 2 years of experience in data mining and modelling techniques. Prior to Hewlett-Packard he finished his Master Of Statistics from Indian Statistical Institute. His work has previously been showcased at PAW San Francisco 2011 as well as other international conferences.

Case Study: Attrition Driver Analysis


Pieter Dyserinck, Head of Business Analysts, ING Belgium

Pieter Dyserinck Pieter Dyserinck is Head of Marketing Intelligence Business Analysts at ING Belgium and leads a team of six analytical experts focusing on analysing customer behaviour. Pieter joined ING Belgium in 2002 as a Customer Intelligence Analyst. He previously obtained a Masters in Applied Economics and a Masters in Marketing Analysis at Ghent University - Belgium. ING Belgium is Belgium's fourth largest Retail bank with a clear focus on servicing their customers via direct channels. They have a customer base of 2.2 Mio private individuals and a market share of 13%.

Case Study: Successes and Lessons in a Five-Year Growth Path in Predictive Analytics


John Elder, Ph.D., CEO & Founder, Elder Research, Inc.

Dr. John Elder Dr. John Elder heads a data mining consulting team with offices in Charlottesville, Virginia and Washington DC (www.datamininglab.com). Founded in 1995, Elder Research, Inc. focuses on investment, commercial and security applications of advanced analytics, including text mining, forecasting, stock selection, image recognition, process optimisation, cross-selling, biometrics, drug efficacy, credit scoring, market timing, and fraud detection.

John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD in Systems Engineering from the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace defence consulting, 4 heading research at an investment management firm, and 2 in Rice University's Computational & Applied Mathematics department. Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and was co-chair of the 2009 Knowledge Discovery and Data Mining conference, in Paris.

John's courses on analysis techniques -- taught at dozens of universities, companies, and government labs -- are noted for their clarity and effectiveness. Dr. Elder was honoured to serve for 5 years on a panel appointed by the President to guide technology for National Security. His book with Bob Nisbet and Gary Miner, Handbook of Statistical Analysis & Data Mining Applications, won the PROSE award for Mathematics in 2009. His book with Giovanni Seni, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, was published in February 2010. John is a follower of Christ and the proud father of 5.

Keynote: Text Mining: Lessons Learned


Frank Fiorille, Director of Risk Management, Paychex, Inc.

Frank FiorilleFrank is the Director of Risk Management at Paychex, a leading provider of payroll, human resource, and benefits outsourcing solutions for small- to medium-sized businesses. Fiorille has over 20 years experience in risk management and credit and joined Paychex in 2002 to lead the company’s initiative to build an enterprise wide risk apparatus.

Before joining Paychex he spent four years with PNC Financial working in their Corporate Credit Policy area. Prior to his work with PNC, he spent twelve years with Citigroup holding various risk management and credit roles. He is a graduate of the inaugural 2007 class at the Wharton Business School at the University of Pennsylvania advanced risk management programme.

He was named as one of the 100 Most Influential People in Finance-Treasury & Risk Magazine in 2008 and 2009. He is credited for leading successful projects to build the first risk and retention models in both the educational lending and payroll outsourcing industries.

Keynote: Combat Client Churn with Predictive Analytics


Gaurav Gaur, Director, Product Management, The Royal Bank of Scotland

Gaurav Gaur Gaurav is an experienced banker with strong back-to-front office experience in Cash Management and Trade Finance combined with an acute understanding of best practices in Finance, Treasury, Risk and Sales. He has led strategy implementation and business development activities with a global focus. He is a qualified ACA, holds an MBA from London Business School and is currently working as Director, Product Management at the Royal Bank of Scotland.

Case Study: Banking value from the long tail


Francisco Gonzalez, Mentor, SolidQ

Gaurav Gaur Francisco A. González works for SolidQ. He earned his master degree in Computer Science at the University of Murcia, Spain and Kennesaw State University, GA. His master project was “Automatic support answerer with BizTalk Server and SQL Server BI technologies”. Now he combines his work in SolidQ with his PhD thesis: “Systems Integration and Business Processes”. He is an MCT and MCP in BizTalk Server and SQL Server. Francisco works in the Integration and BI fields at SolidQ. He presented several webcasts for Microsoft on BizTalk and SQL Server, he is also an active speaker in local user groups. He presented a session about ETL in the first Business Intelligence Conference held Seattle in may 2007. This year he has written a BizTalk series of articles for paper magazine MsCoder. He is coauthor of Microsoft Training Kit 441. Francisco is based in Spain.

Case Study: Data Mining for Social Moderation


Gitali Halder, Manager - Analytics, Hewlett-Packard

Gitali Halder Gitali Halder is currently Manager - Analytics at Hewlett-Packard. She has 5 yrs of Analytics experience including Banking, Credit Cards and IT domain. She worked extensively in Data Mining, Predictive Modeling and Strategy Building. She is currently leading the HR Analytics Team in Global Analytics, HP. Prior to joining HP, she worked with JP Morgan Chase. She has a Master in Economics from Delhi School of Economics.

Case Study: Attrition Driver Analysis


Christopher Hemingway, PhD, Head of Analytics, Debt Management & Banking, HM Revenue & Customs

Christopher HemingwayDr Hemingway is Head of Analytics in HMRC's Debt Management & Banking directorate. Chris designed and led the development of HMRC's debt data warehouse and analytics system, and established its debt analytics team, which he now leads. His responsibilities include delivering performance information, customer segmentation and default risk analysis across all HMRC taxes. Prior to joining HMRC in 2006, he was a Research Fellow at the Cranfield School of Management where he did industry funded research into analytics, enterprise systems, mobile working and knowledge management.

From Analysis to Action: Enabling strategic change through operational analytics


Hanmin Jung, Executive Director, Korea Contents Association

Hanmin JungJanuary 2009 to present: Executive Director at Korea Contents Association, Korea. March 2008 to Present: Adjunct Professor at Mokwon University, Korea. March 2005 to present: Adjunct Professor at University of Science & Technology, Korea. July 2004 to present: Chief Researcher at KISTI, Korea. September 2000 to June 2004: Head of Research Institute at DiQuest Inc., Korea. February 1994 to July 2000: Senior Researcher at ETRI, Korea.ACL2012 (50th Annual Meeting) Local Sponsorship ChairWorkshop organiser in IEEE CPSCom 2011TI Session (in AMT-BI2010) Co-organiser/Session Chair AMT-BI2010, COLING2010, AIRS2010 Program Committee.

The Science of Science: Technical Opportunity Discovery Model-driven Analytics System


Tom Khabaza, Chairman, Institute of Data Miners

Tom KhabazaTom Khabaza is an independent predictive analytics consultant; his mission is to help organisations to extract value from the knowledge implicit in their data. Tom has been a data mining and predictive analytics practitioner since 1992, and is one of the authors of the Clementine data mining workbench and the CRISP-DM methodology. Tom holds a degree in Psychology and a doctorate in Artificial Intelligence.

Case Study: From Analysis to Action: Enabling strategic change through operational analytics

Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics


Aaron Lai, CFA, Senior Manager of Marketing Analytics, Blue Shield of California

Aaron LaiAaron Lai, CFA, is the Senior Manager of Marketing Analytics of Blue Shield of California in San Francisco and formerly a VP and Senior Quantitative Research Associate of the Bank of America. He has over 10 years experience in consumer analytics and database marketing for financial institutions and has several patents currently pending. He has published in academic journals and professional magazines, and he has also presented in numerous international data-mining conferences. He also served on the CFA examination curriculum committee and the CFA Magazine Advisory committee. He received a B.Sc.(Hons) in Finance (City University of Hong Kong), a B.Sc.(Econ)(Hons) in Management Studies (University of London), a MBA (Purdue University), and a M.Sc. in Sociology (University of Oxford). In addition to his duty as the current President of the Oxford University Society of Northern California, he is also pursuing a M.Sc. in Evidence-based Healthcare from Oxford University.

Case Study: How Do Peers Evaluate Peer-to-Peer Lending?


Seungwoo Lee, Ph.D., Senior Researcher, Korea Institute of Science and Technology Information

Seungwoo LeeSeungwoo Lee works as a senior researcher at Korea Institute of Science and Technology Information (KISTI), Korea. He received his M.S. and Ph.D. degrees in Computer Science and Engineering from POSTECH, Korea in 1999 and 2005. Previously, He studied and developed an information retrieval engine and a named entity recognizer based on Natural Language Processing (NLP) technologies. And recently he has researched and developed Semantic Web-related tools such as a triple store, an inference engine named OntoReasoner, and a SPARQL processor. He has participated in many Semantic Web-related projects and published as W3C use cases. His current research interest is technology intelligence and discovery of technology opportunities based on Text Mining and Semantic Web technologies.

The Science of Science: Technical Opportunity Discovery Model-driven Analytics System


Colin Linsky, Principal Analytical Consultant, IBM

Colin LinskyIBM has spent more than $14bn in the past five years on acquisitions to row its Business Analytics portfolio and in 2009 IBM bought SPSS to add Predictive Analytics to an already successful collection of industry offerings. Based in the UK, Colin is the world-wide Retail Lead for SPSS Predictive Analytics within IBM’s Business Analytics division. Prior to his current role he specialised in survey and market research and was part of the team which launched and grew the world leading IBM SPSS Data Collection multi-channel survey research platform. Colin has post-graduate degrees in Applied Psychology.

Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics


Shajy Mathai, Executive Vice President and Chief Technology Officer, OpenRisk

Shajy MathaiShajy Mathai is Executive Vice President and Chief Technology Officer at OpenRisk, LLC. Mr Mathai has more than fifteen years experience in technology leadership in the Insurance industry. Prior to his current role, Mr. Mathai served as Director of Research and Technology and Director of eCommerce for Guy Carpenter, a global reinsurance intermediary.

Rethinking Analytic Solutions: Modeling Catastrophic Risk


Jared McKee, ENERGEX

Jared McKeeJared McKee works in the Customer Analytics team in ENERGEX, the electricity distribution utility for South East Queensland, Australia. He has a Bachelor of Electrical Engineering from the University of Queensland and a Master of Systems Engineering from the University of New South Wales. Jared is currently working abroad for 10 months as part of the ES Cornwall Memorial Industry Scholarship offered by the University of Queensland; after which he will return to continue his work with ENERGEX.

Case Study: Spatially Simulating Electricity Demand Growth


John McConnell, Director, Analytical People

John McConnellJohn McConnell is the founder of Analytical People. He has been delivering Analytical Consulting Services in a broad range of business and research areas for over 20 years. The type of projects he is involved in range from ad-hoc analyses through to multi-user high-end, automated, analytical solutions delivery with Statistical, Data Mining and Predictive Analytics methods and technologies. He is also a regular conference speaker on the role of advanced analytics in the context of both business and research.

John has a BSc in Mathematics, Statistics and Operational Research from the University of Manchester Institute of Science and Technology, UK

Proving the value of Prediction in Magazine Subscriptions


Dwipashray Niyogi, Analytics Consultant, Hewlett-Packard

Dwipashray NiyogiDwipashray Niyogi works as an Analytics Consultant in Hewlett Packard Analytics division with an experience spanning two and half years. Prior to HP, Dwipashray completed his Masters Degree in Economics from Delhi School of Economics, Delhi, India.

Churn/Threat Prediction Analysis in B2B by Value Movement Analysis


Mehul Patel, Chief Operating Officer, Kaggle

Mehul PatelMehul Patel is Chief Operating Officer of Kaggle, the leading predictive data analytics platform, where he is responsible for client development, marketing and business operations. Previously, he was EVP at Axiom leading global expansion and strategy. Prior to Axiom, Mehul was Chief Marketing Officer at Howard Rice and VP, Business Planning and Development at CNET Networks, where he ran strategic planning and business operations for CNET’s largest division. He started his career as a corporate attorney at PeopleSoft and Cooley LLP. He holds a JD from the University of Virginia School of Law and an A.B magna cum laude from Brown University.

Predicting Retail Customer Behaviour


Giles Pavey, Head of Retail Solutions, dunnhumby

Giles PaveyGiles Pavey is Head of Retail Solutions and Chair of the Innovation Group at dunnhumby. Giles works with retailers globally on customer insight and retail marketing initiatives, and is a frequent speaker internationally on customer intelligence. Giles joined dunnhumby in 1998 and had led development of Tesco’s multi-layered segmentation efforts that underpins all of the supermarket’s direct marketing and customer intelligence. In recent years, he had been responsible for dunnhumby's solutions for retailers including Tesco, Kroger, Casino, Pam and Macy’s, focusing particularly on pricing, promotions, ranging and loyalty programmes.

Before dunnhumby, Giles was Head Statistician with Information Resources in the UK. He holds a masters degree in Physics from Oxford University and subsequently studied at Kingston Business School, specialising in retail and direct marketing.

Predicting Retail Customer Behaviour


Eric Siegel, Ph.D., Programme Chair, Predictive Analytics World

Eric Siegel, Ph.D.The president of Prediction Impact, Inc., Eric Siegel is an expert in predictive analytics and data mining and a former computer science professor at Columbia University, where he won the engineering school's award for teaching, including graduate-level courses in machine learning and intelligent systems - the academic terms for predictive analytics. After Columbia, Dr. Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies.

Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics for Business, Marketing and Web, and the online version, Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education, has served on 10 conference programme committees, has chaired a AAAI Symposium held at MIT, and is the founding chair of Predictive Analytics World.

Keynote: Persuasion by the Numbers: Optimise Marketing Influence by Predicting It


Rosaria Silipo, Ph.D., Data Mining Consultant

Rosaria SilipoDr Rosaria Silipo has been mining data since her master degree at the University of Florence (Italy) in 1992. She kept mining data throughout her doctoral programme (University di Firenze 1992-1996, MIT 1994), her postdoc (ICSI at the University of Berkeley, 1997-2000), and most of her following positions (Nuance Menlo Park CA 2000-2002, Spoken Translations 2003-2007, Viseca Zurich 2007-2009). In 2009 she decided to work independently as a data mining consultant. Throughout her career, she has analysed biomedical data, data from psycho-acoustic experiments, financial data, and speech data. Recently, since the last big financial crisis, she has been working on risk analysis for many financial firms.

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Case Study: The Economist & Netto Bank


Michael Sinn, VP Buying Division, OTTO

Michael SinnMichael Sinn has worked for Otto, a leading European retailer, for almost three decades and is responsible for the improvement of group purchasing processes and support systems. His is also responsible for predictive analytics. Michael has been a visionary in the field of predictive analytics ever since he applied the first scenarios.

Case Study: Inventory improvement with Predictive Analytics at the world's 2nd largest online retailer OTTO


Neil Skilling, Director Product & Solutions, Pitney Bowes Business Insight

Neil SkillingNeil has worked in the analytical data mining/customer relationship management industry since 1995. He has worked across the financial services, telecommunications and retail industries addressing a wide range of analytical problems from churn, up-sell, cross-sell and risk through to customer satisfaction analysis. The has included work for a large number of B2C organisations from BT, Telenor, Lloyds-TSB, Telia, Merrill Lynch, Royal Bank of Scotland and T-Mobile amongst others.

Neil has a passion for using customer behaviour information to make the most informed and profitable decisions for every customer in every interaction. Neil has been a practitioner of Uplift Modelling since 2001. This has led to many millions of pounds of incremental revenue from sales and retention activities over the years for his clients.

Neil worked for Portrait Software until 2010 when the company was acquired by Pitney Bowes Business Insight. He has a PhD in parallel computing from Edinburgh University.

Case Study: Uplift Modelling: You Should Not Only Measure But Model
Incremental Response


Mark Tabladillo, Ph.D., Mentor, SolidQ

Mark TabladilloMark Tabladillo has been an information technology professional since 1998, and has a primary career consulting companies from across commercial and non-profit industries in the United States and around the world. Mark has a doctorate from the School of Industrial and Systems Engineering at Georgia Tech, where he focused on applied statistics and quality management. Mark has a complementary role as graduate school professor at the accredited University of Phoenix, where doctoral candidates ask him to be their dissertation mentor

Mark's business mission is to empower and inspire executives, architects and developers with insights from data mining, predictive analytics and business intelligence to make actionable decisions.

Mark regularly presents at major technical conferences such as SAS Global Forum and Microsoft's TechEd. Mark writes and produces videos to share his message. A few clients prefer the more exclusive personal one-on-one coaching. However, Mark shares his thoughts freely for a wide professional audience on his blog at http://marktab.net.

Case Study: Data Mining for Social Moderation


Chris Stirling, Partner, Deloitte

Chris StirlingChris is a Partner at Deloitte's Public Sector Analytics team. He has broad experience of working with public sector clients, particularly focusing on the Healthcare, Social Care and Local Government sectors. He has worked on large scale transformation programmes, capability building initiatives and mergers and structural changes within public sector organisations. Whilst he has a technology background, he is particularly focused on the people and workforce aspects of organisations and change.

A key theme within Chris' work has been around helping organisations use data and evidence more effectively to support their decision making processes. On this theme he has worked extensively within the NHS to help improve processes and use of data in the development of effective plans for long term commissioning of healthcare education and training. Recently he has been leading a programme to using predictive analytics to help the NHS better understand areas of workforce risk.

Platinum Sponsor Presentation: Healthcare Analytics: Predicting Problems Ahead


Dr. Geert Verstraeten, Partner, Python Predictions

Dr. Geert VerstraetenDr. Geert Verstraeten is Partner at Python Predictions, a Belgian niche player with expertise in the domain of customer intelligence. He currently has 9 years of "hands-on experience" in different industries such as retail, mail-order, telecom, banking, utilities and subscription services. More specifically, his interests lie in delivering highly performing yet interpretable predictions of future individual customer behaviour.

In 2005, Geert obtained a PhD in Applied Economics at Ghent University, Belgium. His thesis is entitled "Issues in Predictive Modeling of Individual Customer Behavior: Applications in Targeted Marketing and Consumer Credit Scoring". He has published different scientific studies in peer-reviewed journal, and has presented on a number of business and academic conferences.

Python Predictions was founded in April 2006, and currently active in Retail & Distribution, Telco, Financial Services, Utilities and Postal Services in the Belgian market.

Case Study: Successes and lessons in a five-year growth path in Predictive Analytics


Uwe Weiß, CEO, Blue Yonder

    Uwe WeißIn his capacity as CEO, Uwe Weiss has been assisting Blue Yonder during its growth expansion since 2011. For the next few years, he has set himself the goal of at least doubling the company’s turnover year on year and securing rapid global expansion. Uwe Weiss has more than 20 years of experience in the areas of:
    • IT and software
    • Software architecture
    • Development
    • Databases
    • ERP software
    • Software as a Service (SaaS)
    He was co-founder, member and board member of various high-growth companies, the most recent being Crossgate AG, one of the global leaders for automated process integration between companies in the area of B2B. Prior to that, Uwe Weiss worked for SAP among other employers. A highly experienced growth manager, Uwe Weiss also holds various different advisory board roles for companies that are experiencing rapid expansion.

    Expert Panel: Wise Enterprise: Best Practices for Managing Predictive Analytics


    Phil Winters, Senior Managing Partner, CIAgenda

    Phil WintersPhil Winters has spent over 30 years helping organisations develop, refine and strengthen their 1to1’ customer experiences,
    emphasising the bottom-line advantages of excellence in customer relationships. He is known as the "Father of Customer Intelligence."

    His business career began at SAS Institute where he held leadership positions within Marketing, Technology, Sales, and Operations. Most recently, he focused on building the business in Germany, Switzerland and Austria for Peppers & Rogers Group, an American management consulting firm recognised as the world's leading authority on customer-based strategies.

    Phil’s passionate focus on the customer, complemented by the broad spectrum of experience gained from senior executive positions, affords him an insider’s perspective in his work, a curriculum of success encompassing over 300 companies around the world, for whom he played a hands-on role in the development and implementation of customer-based strategies and the requisite underlying business initiatives.

    Phil’s current focus and passion is on using case studies and best practices to help organisations understand and impact relevant new touch points from the customer’s perspective - whether social media, mobile marketing or word of mouth - and delight them at every step of their personal decision making journey.

    Today he is an independent consultant, leads the company CIAgenda and is a strategic advisor to Peppers & Rogers Group. He advises and helps companies to realign their customer strategies from the customer’s perspective. Acknowledged as one of the pre-eminent thought leaders in the field, he is sought after as a high-profile speaker at conferences and events, teaches at various universities, and conducts customer-focused seminars and workshops for enterprises and professional organisations alike.

    Case Study: The Economist & Netto Bank


    Amjad Zaim, Cognitro Analytics

    Amjad ZaimAmjad Zaim heads Cognitro Analytics, a NY-based firm that delivers Business Analytics & Business Intelligence solutions to companies in several verticals including banking, insurance, telecom and government. Cognitro Analytics also provides in-house training programs in data mining and predictive analytics and has successfully organised several leading international seminars and workshops.

    Amjad is also a consultant of data mining with over 20 years researching and developing advanced AI (Artificial Intelligence) techniques to solve real-life problems in finance, security and healthcare. He is an expert in financial risk modeling, image recognition as well as biometric iris identification. Prior to founding Cognitro Analytics, he co-founded several startups including Orion Analytics and ZaimNet. Amjad also served as a Professor of Computer Science at the University of Texas, where he established the VIB (Vision, Intelligence and Bioinformatics) research center, leading a team of scientists through many AI-related projects.

    Amjad has written over 100 technical, scientific and business articles. He is a frequently invited guest speaker at conferences world-wide and has been on the chairing, organising and review committees of several international IEEE conferences including the International Conference on Pattern Recognition. He has also been a regular contributor to the Banking Executive magazine since 2009, discussing data mining applications in banking and finance. Amjad holds a PhD in Engineering from the University of Toledo, Ohio, an MBA from the University of Arlington, Texas, as well as two MSE's in both electrical and computer engineering from Wright State University in Dayton, Ohio.

    Case Study: Value Proposition Segmentation (VPS) Method


    Jure Zabkar, Researcher, Artificial Intelligence Laboratory at the University of Ljubljana

    Jure ZabkarJure Zabkar is a researcher at the Artificial Intelligence Laboratory at the University of Ljubljana. He conducts research machine learning and data mining, qualitative reasoning, cognitive robotics and systems for decision support. In 2009 Jure won first prize with the presentation of autonomous humanoid robot learning about its environment by conducting experiments at the International Conference on Future and Emerging Technologies. He holds BSc degrees in Mathematics and Computer Science. Since 2006 Jure has headed up Ockham, a startup pursuing applications of AI to industry. He has accumulated real-world experience working in PA projects in the medicine, metallurgy, energy, retail, entertainment, automotive and aerospace industries. The areas he has worked on include recommendation systems, quality control, customer targeting, etc.

    A Proposed Methodology for Integration of Predictive Analytics in Organisations


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