Dean Abbott 

Dean Abbott, President, Abbott Analytics

Dean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, risk modeling, text mining, response modeling, survey analysis, planned giving, and predictive toxicology. In addition, Mr. Abbott serves as chief technology officer and mentor for start-up companies focused on applying advanced analytics in their consulting practices.

Mr. Abbott is a seasoned instructor, having taught a wide range of data mining tutorials and seminars for a decade to audiences of up to 400, including PAW, KDD, AAAI, IEEE and several data mining software users conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Mr. Abbott also has taught applied data mining courses for major software vendors, including SPSS-IBM Modeler (formerly Clementine), Unica PredictiveInsight (formerly Affinium Model), Enterprise Miner (SAS), Model 1 (Group1 Software), and hands-on courses using Statistica (Statsoft), Tibco Spotfire Miner (formerly Insightful Miner), and CART (Salford Systems).

Case Study: Rules Rule: Inductive Business-Rule Discovery in Text Mining
Full-day Workshop: Hands-On Predictive Analytics

Breck Baldwin 

Breck Baldwin, President, LingPipe

Breck Baldwin is president and founder of LingPipe. His focus is on teaching developers to work with the challenges of text analytics as well as helping organizations develop text analytics capabilities.

Beyond Sentiment: Predicting Review Helpfulness by Automatic Classification of Competence, Integrity and Benevolence

Johan Bollen 

Johan Bollen, Associate Professor, School of Informatics and Computing, Center for Complex Networks and System Research, Indiana University

Johan Bollen is associate professor at the Indiana University School of Informatics and Computing (2009-present). He was formerly a staff scientist at the Los Alamos National Laboratory (2005-2009). His research takes place at the intersection between informatics, computer science, network science, social science, and informetrics. His present interests include the development of quantitative tools for the assessment of scholarly impact from usage data (MESUR project) and the study of social phenomena such as public mood states and social contagion from large-scale online networking environments.

Social Media Analysis for Market Prediction: Collective Mood States and the Wisdom of Crowds

Tim Daciuk  

Tim Daciuk, Business Development Manager, Advanced Analytics, IBM

Tim Daciuk is a Business Development Manager with IBM. Tim works to help customers, and potential customers better understand the value of Predictive Analytics; how that aligns with the IBM software family, and, how it aligns with customer business strategies. Tim provides customers with everything from a business understanding to in-depth technical demonstrations of the Predictive Analytics product suite in action. Additionally, Tim is an accomplished speaker and has spoken at conferences, meetings and professional seminars throughout Canada, the U.S., Europe and Asia. Tim also leads several seminars in Predictive Analytics across North America for audiences from technical specialists to business decision makers.

Tim Daciuk has a 30 year history in statistics, data mining and predictive analytics. He has worked in roles as a consultant, trainer, pre-sales, and marketing. Tim has worked with both Public Sector and Commercial endevours, as well as serving as an advisor to many academic research projects. Of late, Tim has specialized in the use of data and text mining and how these technologies can be applied in a business context, across industries. Tim works closely with industry and software leaders to help business government and institutions understand and unlock the power of predictive analytics.

Full-day Workshop: Hands-On Introduction to Text Analytics with IBM SPSS
Expert Panel: Text Analytics Hits the Mainstream

Thomas Davenport 

Thomas Davenport, President’s Distinguished Professor, Babson College Author, Competing on Analytics: The New Science of Winning

Voted the third leading business-strategy analyst (just behind Peter Drucker and Tom Friedman) in Optimize Magazine, Thomas Davenport is a world-renowned thought-leader who has helped hundreds of companies revitalize their management practices. Tom combines his interests in business, research, and academia as the President’s Distinguished Professor in Management and Information Technology at Babson College. He is also the Director of Research and faculty leader at the International Institute for Analytics. Tom’s Competing on Analytics idea was recently named by Harvard Business Review as one of the twelve most important management ideas of the past decade and the related article was named one of the ten must read articles in HBR’s 75 year history. Published in February 2010, Tom’s related book, Analytics at Work: Smarter Decisions, Better Results, was named one of the top fifteen must reads for 2010 by CIO Insight.

Keynote: Everyday Analytics: Making Leading Edge Pervasive

John Elder 

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

Dr. John Elder heads a data mining consulting team with offices in Charlottesville Virginia, Washington DC, Mountain View California, and Manhasset New York ( 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 optimization, 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 Ph.D. 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 defense 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 honored 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: Multiple Case Studies: Text Mining: Lessons Learned
Full-day Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Expert Panel: Text Analytics Hits the Mainstream

Andrew Fast 

Andrew Fast, Senior Scientist & Director of Research,
Elder Research, Inc.

Elder Research, Inc. Senior Scientist and Director of Research Dr. Andrew Fast earned Master’s and Ph.D. degrees in Computer Science from the University of Massachusetts Amherst, where his research focused on advanced data mining topics including data mining in complex relational data such as social networks and causal data mining. At ERI, he leads the development of new tools and algorithms for data mining and text mining applications including capabilities assessment, attribution modeling for online advertising, fraud detection, and national security.

Dr. Fast is active in both industry and academia having published on an array of applications including detecting securities fraud using the social network among brokers and understanding the structure of criminal and violent groups. Other publications have covered modeling peer-to-peer music file sharing networks, understanding how collective classification works, and predicting playoff success of NFL head coaches. His work on NFL football coaches was featured in an ESPN article. Andrew graduated magna cum laude from Bethel College.

The Seven Different types of Text Mining and the Five Questions that Reveal the Right Approach

Jaime Fitzgerald 

Jaime Fitzgerald, Founder & President, Fitzgerald Analytics

The Founder and President of Fitzgerald Analytics, Jaime Fitzgerald has developed a distinctively quantitative, fact-based, and transparent approach to solving high stakes problems and improving results. His firm was named one of the “Best Small Consulting Companies to Work for” by Consulting Magazine, and ranked on Inc.5000 list of fastest-growing small businesses. Jaime’s specialties include strategic analytics, information management, knowledge management, technology strategy, and business process improvement. Jaime has advised market-leading banks, retailers, manufacturers, media companies, and non-profit organizations in the United States, Canada, and Singapore.

With his team at Fitzgerald Analytics, Jaime developed a set of unique methodologies that enable analytic professionals and teams to enhance their effectiveness. He has shared these methods at 5 major conferences and events in the past year, including a keynote presentation for The Data Warehousing Institute focused on practical analytics in the financial services industry.

Jaime received his B.A. in Economics from Harvard University.

Case Study: New Insights from “Big Legacy Data”: The Role of Text Analytics at

Richard Foley 

Richard Foley, Worldwide Product Marketing Manager & Strategist, SAS Text Analyst

Richard Foley is a World Wide Product Manager and Strategist for Text Analytics, from SAS, the leader in Business Analytics. Richard is a firm believer in aligning analytics with corporate strategies. Foley served as President of the Web Analytics Association and is a Director Emeritus of the Web Analytics Association. He has been active in the Web Analytics community since 1996 where he worked on implementing information architecture, web analytics standards and KPI’s. Richard earned degrees in Mathematics from Carroll College and Applied Physics from Columbia University. He did his graduate work in Plasma Physics at University California, Davis Livermore Labs.

Expert Panel: Text Analytics Hits the Mainstream

Kuzman Ganchev 

Kuzman Ganchev, Research Scientist, Google

Kuzman Ganchev has been working as a research scientist at Google since 2010. Kuzman’s research is in machine learning applied to natural language processing. Recently he has been working on problems where there is only partial supervision. Of particular interest to him are problems where problem-specific knowledge that is difficult to encode in the model structure or as preferences about model parameters.

Kuzman came to the US in 1999 to study at Swarthmore College. He spent the 2001-2002 academic year studying abroad in Paris. After graduating with a Bachelor of Arts in Computer Science in 2003 Kuzman worked at StreamSage Inc. in Washington DC until starting at the University of Pennsylvania in the Fall of 2004. During the summer of 2007 he was an intern at TrialPay in Mountain View, CA and during the summer of 2008 he was an intern at Bank of America in New York.

Rich Prior Knowledge in Learning for Text Analysis

Rishab Aiyer Ghosh 

Rishab Aiyer Ghosh, Co-Founder & Vice President of Research, Topsy Labs

Rishab Aiyer Ghosh started “First Monday”, the most widely read peer-reviewed journal of the Internet, in 1995 with Ed Valauskas, Esther Dyson and Vint Cerf. In 2000 he started the Collaborative Creativity Group at the University of Maastricht, the Netherlands, the leading research group on the economics of free/open source software, Wikipedia and other forms of collaborative innovation.

Rishab has researched and published on how reputation works and motivates in online communities for over 12 years, collaborating with Stanford, Oxford, Cambridge & Tsinghua Universities, with grants from the US National Science Foundation and European Commission. Rishab is also a board member of the Open Source Initiative and co-founded Topsy Labs in 2008.

Predicting Real-World Occurrences via Social Web Analysis

Anthony Goldbloom 

Anthony Goldbloom, Chief Executive Officer, Kaggle

Anthony Goldbloom is the Founder and CEO of Kaggle Pty Ltd, a global platform for data prediction competitions. Anthony assists companies with framing modeling tasks as data prediction competitions, ensuring competitions reflect real-life projects, and that the results can be integrated into their day-to-day operations.

Before founding Kaggle, Anthony worked in the macroeconomic modeling areas of the Reserve Bank of Australia and before that the Australian Treasury. In these roles, Anthony was responsible for building and maintaining macroeconomic models of the Australian economy. He used these models to generate economic forecasts and to simulate the impact of changes in interest rates and fiscal policy on the Australian economy.

Anthony holds a first class honors degree in economics and econometrics from the University of Melbourne and has published in The Economist magazine and the Australian Economic Review.

Case Study: The Big Prize: Using Competitions for Advanced Text Analytics

David Gondek, Ph.D. 

David Gondek, Ph.D., IBM Technical Lead, Watson Knowledge Capture and Learning and Healthcare Adaptation, IBM

Dr. David Gondek leads the Knowledge Capture and Learning group and Medical Adaptation Technical effort for the IBM Research Watson project, which develop and apply analytics using techniques from natural language processing, machine learning, and knowledge representation and reasoning for the Watson question answering system, focusing on the tasks of analyzing questions, scoring evidence, and evaluating confidence in hypotheses. He has been involved in numerous aspects of the Watson project to produce a system capable of winning at the quiz show, Jeopardy, and is currently working on extending and applying Watson to help support evidence-based decision making in medicine. Dr. Gondek received his B.A. in Mathematics and Computer Science at Dartmouth College and his Ph.D. in Computer Science from Brown University.

Keynote: Building Watson – An Overview of the DeepQA Project

Alexander Hasha 

Alexander Hasha, Lead Data Scientist,

Alexander Hasha is the lead Data Scientist at, the definitive source for information on how people spend, save, and invest their money. Prior to joining, Alex worked in analytic modeling at Citigroup in the company’s mortgage division, where he also wrote articles for publication. He is a graduate of M.I.T. and earned his Ph.D. in mathematics from NYU’s Courant Institute. He also holds an advanced certificate in mathematics from Cambridge University.

Case Study: New Insights from “Big Legacy Data”: The Role of Text Analytics at

Greg Hayworth 

Greg Hayworth, Scientist, Humana Inc.

Greg Hayworth, Scientist, Humana Inc., develops predictive models and other advanced analytics projects for Humana’s Provider Network Operations. Greg has broad industry experience including: manufacturing operations, product development, ERP implementation and Six Sigma. He has as BS in Mechanical Engineering from Rose-Hulman Institute of Technology and an MBA from Marquette University.

Lab Session: Live Topical Demo: Quantifying Impressions with SAS Text Analytics

Piyanka Jain 

Piyanka Jain, CEO,

Piyanka Jain’s interest lies in deriving actionable insights from data to enable informed trade-offs and decision making. She enjoys problem solving and finds herself driven towards empowering business professionals to make better data driven business decision through Aryng’s “Data to Decisions”™ framework she teaches. With Aryng, she is creating an organization to drive business transformation through the power of analytics.

Before founding Aryng, she was heading the NA Business Analytics at PayPal, leading strategic analytics, managing and setting agenda for the team, defining strategic roadmap to find NA business drivers. At PayPal, she and her team have delivered several high impact projects including product portfolio analysis, merchant lifecycle analysis, Voice of Customer analysis, Next Best Product Model for Merchant with $84+ mm revenue impact.

Prior to this, Piyanka drove direct measurable revenue impact of $18 mm through Strategic/Marketing analytics in partnership with Adobe Product Marketing and Relationship Marketing team. Within Marketing Operations and Analytics department, her role was to lead the organization into learning more about their products and customers through establishing appropriate engagement model with BU and rigorous mining of data. Within Relationship Marketing, Piyanka and her team’s role involved designing and analyzing campaigns, creating and executing appropriate segmentation and targeting strategy, Fine tuning messaging, creatives and offers by Test & Control and improving targeting and increasing marketable universe by building response models and propensity models.

Before Adobe, Piyanka co-founded Out of Box Media in 2003. The company’s first Ad Campaign started with Chinese boxes and then grew to incorporate other types of containers including Pizza boxes, cake boxes etc, delivering up to 2% campaign response rates.

Piyanka enjoys networking with other industry professionals, sharing and learning about technical and organizational challenges and solutions.

Full-day Workshop: Predictive Analytics: Fundamentals and Use Cases
Full-day Workshop: Hands-On Business Analytics: Insights to Impact

Themos Kalafatis 

Themos Kalafatis, Independent Consultant

Themos Kalafatis is currently an independent consultant in Data Mining, Text Mining and Data Quality. He has over 17 years experience in IT. Beginning from 2000 he was worked as a Data Mining Analyst in EuroBank EFG and Intrasoft (Greece). Beginning in 2005 he has applied Text Analytics on Real Estate adverts, Financial News and Customer Complaints data. Since 2008 he applied Text Analytics to Social Media data – particularly data generated from Twitter- with the purpose of extracting insights in consumer behavior. Themos holds a Batchelor’s Degree in Computer Studies from the University of Portsmouth (UK) and a Master’s Degree in Knowledge Extraction from the University of East Anglia – Norwich (UK).

Case Study: Mining for Social Media Buzzwords

Max Kuhn 

Max Kuhn, Director of Nonclinical Statistics, Pfizer

Max Kuhn is a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He has been applying models in the pharmaceutical industries for over 15 years.

He is a leading R developer and the author of several R packages including the CARET package that provides a simple and consistent interface to over 100 predictive models available in R.

Mr. Kuhn has taught courses on modeling within Pfizer and externally, including a class for the India Ministry of Information Technology.

Half-day Workshop: R Bootcamp: For Newcomers to R
Full-day Workshop: R for Predictive Modeling: A Hands-On Introduction

Han Lai 

Han Sheong Lai, Director of Operational Excellence & VOC, PayPal

Han Sheong Lai, the Director of Operational Consulting at PayPal, focuses on advocating and driving operational excellence culture, principles and practices on customer, business process Improvement, strategy deployment, defects elimination and innovation at PayPal to help achieve PayPal strategic, customer-focus objectives. He is exploring the use of text and sentiment analytics to better understand PayPal’s large number of customer verbatim to help develop a faster and more effective customer closed-loop process as well as using such insights to help improve product experience. Han received his BS in engineering from the University of New South Wales, Australia, and his MBA from the Athens Laboratory of Business Administration, Greece. He has co-authored an award-wining case study on e-commerce.

Case Study: Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim

Fiona McNeill 

Fiona McNeill, Global Product Marketing Manager of Text Analytics, SAS

As global product marketing manager, Fiona McNeill oversees the product marketing of text analytics at SAS. During her 13 year tenure, she has helped organizations derive tangible benefit from their strategic use of technology. In addition to working with a wide range of industries, McNeill has defined product strategy and corporate relationships at SAS, received multiple innovation awards, and was identified as a Pioneer by CRMPower, 2000. McNeill has published articles in academic journals, co-authored white papers, conducted education seminars and presented at both academic and industry conferences. She received her M.A. in Quantitative Behavioral Geography from McMaster University, and graduated cum laude with a B.Sc. in Bio-Physical Systems, University of Toronto.

Gold Sponsor Presentation: Groundtruthing Your Business with Text Analytics

Jeff Mergler 

Jeff Mergler, Lead Statistical Applications Trainer, TIBCO Spotfire

Jeff Mergler is an analytics field engineer at TIBCO Spotfire where he specializes in helping organizations implement custom analytics that are flexible in a changing environment. He has enjoyed success turning innovative research ideas into automated and deployable applications. These applications include uplift modeling, revenue forecasting, default/fraud prediction, and text data mining of social networking websites. He currently leads statistical applications training development including the use of S+ and R with Spotfire. Previously, he taught mathematics, developed BI systems, and managed IS teams and infrastructure. Jeff earned his MS in Statistics from Colorado State and his MA in Information Systems from Webster.

Full-day Workshop: Deploying User-Friendly Predictive Analytics: Delivering Results to Business Users with Interactive Applications

Greg Michalski 

Greg Michalski, Director of Student Analytics & Research, Florida State College at Jacksonville

Greg V. Michalski, Director of Student Analytics and Research at Florida State College at Jacksonville, an innovative leader serving the population of Northeast Florida and beyond with high quality degree and certificate programs offered via traditional, technology enhanced, hybrid, and distance learning options. He has over 20 years of business process analysis and consulting experience across a wide range of public, private, and non-profit organizations including Nortel Networks, Bell Northern Research, Rockwell Collins, The Bull Group, John Deere, Convergys, Winn-Dixie Stores, Wachovia, and other Fortune 500 companies. A certified Project Management Professional (PMP), he also holds multiple advanced degrees including a Ph.D. in Education Measurement and Evaluation from the University of Ottawa; M.A., Western Michigan University; M.S., Virginia Polytechnic Institute and State University. He has led a wide range of research and development projects for a variety of public sector and NPO clients including American College Testing (ACT), the Oncology Nursing Certification Corporation (ONCC); Federation of State Boards of Physical Therapy (FSBPT). He is founding Executive Director of Research for the e-learning for kids foundation and has served in both full-time and adjunct faculty roles at several institutions of higher education in the United States and Canada including Lake Michigan College, Jordan College, Illinois Technical College, University of Phoenix, Virginia Polytechnic Institute & State University (VATECH), and the University of Ottawa.

Case Study: Who Left and Why? Using Text Mining to Better Understand College Course Withdrawals

Saikat Mukherjee, Ph.D. 

Saikat Mukherjee, Ph.D., Senior Data Scientist, Intuit Inc.

Saikat Mukherjee, Ph.D., Senior Data Scientist, Intuit Inc. Saikat is a Senior Data Scientist in the Data Driven Experiences team in Intuit focusing on applying advanced data mining and machine learning techniques, in particular text analytics, to Intuit customer data for building innovative data driven offerings. In this capacity he has built systems for analyzing voice of customer text data, financial transaction data, and merchant identification and categorization among others.

Previously he was with Siemens Research as a Scientist and Manager where he led various projects on analyzing unstructured text customer service reports collected from both within the enterprise and external social channels, as well as projects on healthcare informatics working on data mining medical images and text reports. He earned his Ph.D. from SUNY Stony Brook and bachelors from the Indian Institute of Technology, holds a US patent, and has published extensively in technical and industry conferences.

Case Study: Babies on Elephants: Hadoop and Text Analytics

Nick Patience 

Nick Patience, Research Director of Information Management, The 451 Group

As Research Director for Information Management at The 451 Group, Nick Patience charts the course in terms of coverage in areas spanning databases, content management, search, text analysis and business intelligence.

Nick’s own primary area of focus is on information retrieval, including search, text analysis and how in general, various types of information can be best leveraged to provide insight to organizations, leading to more efficient use of their information assets. As part of that Nick focuses on electronic discovery and technologies that can help organizations understand, manage and leverage their unstructured data assets and the risks they represent.

Nick is a cofounder of The 451 Group. He was based in New York City for more than 12 years before moving to London in mid-2008. Nick has an MS in Computing Science from the University of London.

It’s 8:00am: Do You Know Where Your Data Is?

Michael Pooley 

Michael Pooley, President & General Manager, Mitchell1

Michael Pooley brings over 18 years of experience in business intelligence, data, analytics, and complex solutions-based selling in the financial services, insurance and automotive sector. He leads the growth and expansion of AutoAnalytx to the Parts, OEM, Publishing and Investment business verticals within the automotive marketplace. Prior to joining AutoAnalytx, Michale was an executive sales leader for large global interactive marketing services companies including Acxiom and Choicepoint, a LexisNexis Company. Michael created and delivered world class customer and information management solutions to many of the world’s largest and most-respected companies in the insurance and financial services industry. Pooley earned a bachelor’s degree in business administration, finance at Washburn University, in Topeka, Kansas and resides in San Diego, California with his wife Kim and sons Tyler and Trent.

Case Study: Creating a $1 Million Data Source from Free Text

steven ramirez 

Steven Ramirez, CEO, Beyond the Arc

Steven Ramirez is the CEO of Beyond the Arc, Inc., a management consulting firm recognized by Forrester Research as a leader in the field of customer experience. Steven is responsible for business operations, including growing the company’s revenues and leading teams of data and strategy consultants that help clients leverage customer and social media data, combined with text analysis, to drive customer acquisition, understand service breaks and build community.

Steven focuses on financial services customer experience with a growing importance in social media. He has led numerous projects to develop multi-channel solutions, encompassing branches, online banking, ATM, mobile, phone and social media. He also helps clients develop communications strategies that drive sales and strengthen customer relationships. Steven created and taught courses in business management for UC Berkeley, where he earned a BA and MBA, and has been a speaker at Berkeley’s Haas School of Business.

Lab Session: Live Topical Demo: Bank On It! Use Publicly Available Social Media Data to Strengthen Customer Relationships and Grow Your Business

Tom Reamy 

Tom Reamy, Chief Knowledge Architect, KAPS Group

Tom Reamy is currently the Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy, and text analytics consultants. Tom has 20 years of experience in information architecture, enterprise search, intranet management and consulting, education software, and text analytics consulting. Tom’s academic background includes a Master’s in the History of Ideas, research in artificial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He has published articles in various journals and is a frequent speaker at knowledge management conferences. When not writing or developing KM projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.

Case Study: Customer Support and Product Sentiment for a Leading Telecom

Ramendra Sahoo 

Ramendra Sahoo, Senior Vice President of Risk Technology, Citibank

Ramendra Sahoo leads credit and investment products risk modeling including data quality and analytics as a part of CITI’s operations and technology group. Before joining Citi, his prior role includes over a decade long experience at IBM Research as a Researcher and nearly four years of work experience at TATA Technology in Pune India.

Ramendra has a Ph.D. in Scientific Computing from Stony Brook and MBA from Cornell University, over and above a Master’s degree in engineering from Indian Institute of Technology Chennai (India) and a BE in mechanical engineering from National Institute of Technology Durgapur (India). With nearly 50 publications, Ramendra is active within technology and scientific community, organizing and leading several international and professional conferences and workshops, while actively reviewing and publishing in the area of data mining and knowledge discovery. Ramendra is five times recipient of innovation awards and three times recipient of research division awards at IBM research over and above several scientific and technical community leadership awards.

Case Study: Analyzing and Scoring Customer Problem Descriptions through Multi-focal Learning

Colin Shearer 

Colin Shearer, WW Industry Solutions Leader, IBM

Colin Shearer is Worldwide Industry Solutions Leader for the SPSS brand at IBM. With a background in Computer Science and Artificial Intelligence at the University of Aberdeen, specializing in machine learning, he has been involved since 1984 in applying advanced software solutions to business problems. Previously with SD-Scicon and Quintec Systems, he was one of the founders of Integral Solutions Ltd. (ISL) in 1989, and was a pioneer of data mining in the early 1990s. He was creator and architect of ISL’s award-winning Clementine system (now IBM SPSS Modeler) which introduced the visual workbench approach for data mining. Shearer’s team at ISL tackled numerous successful data mining applications in areas including finance, broadcasting, market research and defense, and from 1996 to 1998 he jointly let the international initiative to create and publish the CRISP-DM methodology. In 1998 SPSS acquired ISL, and Shearer became responsible for a worldwide team of data mining consultants and for SPSS Advanced Data Mining Group. He subsequently held various positions at SPSS including global head of Product Marketing and Senior Vice President for Market Strategy. SPSS was acquired by IBM in October 2009, and Shearer moved to his current position in January 2010. .

Platinum Sponsor Presentation: Making Chatter Matter: Monetizing Social Media through Analytics

Karl Rexer 

Karl Rexer, Ph. D., President, Rexer Analytics

Karl Rexer founded Rexer Analytics, a Boston-based analytic consulting firm, in 2002. He and his teams have delivered analytic solutions to dozens of companies. Solutions include fraud detection, customer attrition analysis and prediction, customer segmentation, sales forecasting, direct mail targeting, market basket analysis and survey research. Karl is a leader in the field of applied data mining. He has served on the organizing committees of several international conferences, and is on the Board of Directors of Oracle’s Business Intelligence, Warehousing, and Analytics (BIWA) Special Interest Group. Karl is frequently invited to speak at MBA programs, conferences, and user groups.

Each year, Rexer Analytics conducts and publishes the widely read Annual Data Miner Survey. In 2009 over 700 data miners from around the globe participated in the third annual survey. Karl holds a Ph.D. from the University of Connecticut.

Industry Trends: 2011 Data Miner Survey Results: Highlights

Zubair Shams 

Zubair Shams, Director of Product Development, Accident Fund Insurance Company of America

Zubair Shams leads the predictive modeling department at Accident Fund Insurance Company of America (Accident Fund). Prior to joining Accident Fund, Zubair served as a project leader in Deloitte Consulting’s Advanced Analytics & Modeling practice.

For over 10 years, Zubair has worked with various organizations to develop and implement end-to-end business solutions that are rooted in advanced analytics. Zubair focuses on providing leadership in the delivery of complex modeling projects, while leveraging his foundation in modeling expertise. He specializes in facilitating collaboration between sponsoring business units, IT departments, and modeling teams to identify business opportunities, gain consensus, and develop and implement analytic solutions that drive quantifiable benefits.

Zubair earned a Bachelor’s degree from Rutgers University, with an academic background that includes training in Advanced Statistics and Economics.

Case Study: Using Text Analytics to Accurately Segment Workers’ Compensation Injuries

Puneet Sharma 

Puneet Sharma, Senior Manager, PayPal

Puneet is an effective leader with 15 years’ track record of spearheading/executing highly effective marketing and product strategy initiatives in financial/consulting industries, especially as they relate to consumer behavior. His expertise is in driving strategy through consumer insights, deep analytics, and by providing actionable recommendations for effective change execution. With his leadership background he has spearheaded many analytics-based initiatives in the financial space for organizations such as PayPal, Capital One, and HSBC that have transformed how consumer-based retail business in this space can capture lucrative & previously unclaimed opportunities.

He is currently at PayPal, leading X-border strategy for North America and likes to identify opportunities proactively to drive growth for the business. Recently he spearheaded an initiative to understand drivers of conversion to address consumer pain points in checkout flow through advanced analytics, which resulted in identifying actionable customer pain points worth $20M.

Full-day Workshop: Predictive Analytics: Fundamentals and Use Cases
Full-day Workshop: Hands-On Business Analytics: Insights to Impact

James Taylor 

James Taylor, CEO, Decision Management Solutions

James Taylor is the CEO and Principal Consultant of Decision Management Solutions. James is the leading expert in decision management and decisioning technologies. James is passionate about using decisioning technologies like business rules and predictive analytics to help companies improve decision making and develop smarter and more agile processes and systems. James has over 20 years developing software and solutions for clients and has led Decision Management efforts for leading companies in insurance, banking, health management and telecommunications. He is also an active speaker, blogger (primarily at JTonEDM) and author.

James delivers webinars, workshops and sales training for clients and vendors. He is a keynote speaker at conferences such as the Business Rules Forum, Predictive Analytics World and IBM’s Business Analytics Forum. James was co-author of "Smart (Enough) Systems" (Prentice Hall, 2007) with Neil Raden, and has contributed chapters on decision management and business rules to multiple books including "Applying Real-World BPM in an SAP Environment", "The Decision Model", "The Business Rules Revolution: Doing Business The Right Way" and "Business Intelligence Implementation: Issues and Perspectives". James is a faculty member of the International Institute for Analytics and has experience at FICO, PeopleSoft R&D, and Ernst & Young.

Full-day Workshop: Driving Enterprise Decisions with Business Analytics

David Wiseman 

David Wiseman, Director of Business Development Sybase, An SAP Company

As Director of Business Development at Sybase, an SAP company, David Wiseman is responsible for the development and deployment of Enterprise-level marketing programs and sales initiatives for Data Analytics solutions and the Telecom Industry sector.

During his twelve years at Sybase he has led North America technical sales, launched sales programs in support of several product lines, and managed the Sybase-IBM global partnership. His background includes federal sales at IBM and software development program management for the DoD.

Mr. Wiseman holds an MBA from the Kenan-Flagler Business School of the University of North Carolina at Chapel Hill and a B.S. in Computer Science from the University of Mary Washington.

Gold Sponsor Presentation: Unstructured Data Analytics in Sybase IQ

Hui Xiong 

Hui Xiong, Associate Professor, Rutgers Business School

Dr. Hui Xiong received his Ph.D. from the University of Minnesota and the B.E degree from the University of Science and Technology of China (USTC). He is currently an Associate Professor at Rutgers University, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), an IBM ESA Innovation Award (2008), the Junior Faculty Teaching Excellence Award (2007) and the Junior Faculty Research Award (2008) at the Rutgers Business School. His general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive business applications. He is an Associate Editor of the Knowledge and Information Systems journal. He has served regularly in the organization committees and the program committees of a number of international conferences and workshops. More detailed information is available at

Case Study: Analyzing and Scoring Customer Problem Descriptions through Multi-focal Learning

Dezhi Yin 

Dezhi Yin, Ph.D. Candidate, Georgia Tech Business School

Dezhi (Denny) Yin is a Ph.D. candidate at IT Management, College of Management, Georgia Institute of Technology. His research interests include online word-of-mouth, affect and online information processing, social media, and trust issues in electronic commerce. He has presented his works in International Conference on Information Systems (ICIS), INFORMS annual meeting, and Pacific-Asia Conference on Information Systems (PACIS).

Beyond Sentiment: Predicting Review Helpfulness by Automatic Classification of Competence, Integrity and Benevolence