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Speakers Predictive Analytics World Boston 2012
 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, 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 of 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).

Case Study: Hiring and Selecting Key Personnel Using Predictive Analytics

 Vikas Agarwal

Vikas Agarwal

Global Head of Analytics

Goldman Sachs

Vikas Agarwal is the global head of Analytics within the Legal and Audit department and has been with Goldman Sachs since 2011. As the global lead for analytics across front office and back office areas and is responsible for leading a team which assists in the application of advance analytics in the risk assessment, audit execution and continuous monitoring processes. As part of this roll Vikas sits on several firm wide committees related to analytics, continuous monitoring, compliance surveillance and enterprise data management. Prior to joining Goldman Sachs, Mr. Agarwal worked for seven years as a consultant for a big four firm leading a regulatory analytics practice. He has experience dealing with large-scale AML and other compliance related issues at several large broker dealers, retail banks and asset management firms.

Case Study: Utilizing Predictive Analytics to Analyze Changing Regulation

 Brett  Bender

Brett Bender

Principal Software Engineer

LiquidPlanner

Brett Bender is a Principal Software Engineer at LiquidPlanner, developer of the industry’s only priority-based, predictive project management solution. Through automated scheduling and integrated collaboration, LiquidPlanner radically simplifies the way people approach project management. As the developer of LiquidPlanner's innovative scheduling engine, Mr. Bender has helped thousands of teams harness the power of statistics to generate accurate schedules across entire portfolios of projects in real-time, work that would otherwise take those same teams weeks to accomplish manually. Prior to joining LiquidPlanner in 2007, Mr. Bender lead a software development team at Amazon.com that built mission-critical tools for third-party sellers. His team's systems served millions of users worldwide, handling orders representing billions of dollars in sales. Mr. Bender received a BA in Computer Science and Psychology from Yale.

 Michael Berry

Michael Berry

Analytics Director

Tripadvisor Hotel Solutions

Michael Berry is co-author of some of the most widely read and respected books on data mining including Data Mining Techniques for Marketing, Sales, and Customer Relationship Management which is now in its third edition. These best sellers in the field have been translated into many languages. Michael is an active practitioner of data mining. His books reflect many years of practical, hands-on experience down in the data mines. Michael is Director of Analytics at Tripadvisor for Business, the B2B side of Tripadvisor, the world’s largest travel-related web site. Prior to joining Tripadvisor, he spent many years as a data mining consultant and educator.

Case Study: Cannibalization Analysis Using Matched Pairs at TripAdvisor
Gold Sponsor Presentation: Modeling Renewal Probability In Order to Boost It at Tripadvisor

 Sanjit  Bhoumick

Sanjit Bhoumick

Senior Vice President, Research & Analytics

WNS Global Services

Sanjit Bhoumick is the Senior Vice President for the Research and Analytics (R&A) practice at WNS. He has a rich experience of more than a decade in the R&A industry. In WNS, Sanjit has worn multiple hats across operations, client servicing and solutions. In his current role, he is responsible for helping clients move up the analytical maturity roadmap from simple data management and reporting to recommendations and insights drawn from advanced modeling. He leads a team of over 2,000 resources specializing in research, analytics and data disciplines.

Prior to WNS, Sanjit was a management consultant for over seven years, advising clients in the financial services and consumer packaged goods industries, helping them identify efficiency gains and cost savings opportunities through business process re-engineering.

Gold Sponsor Presentation: "Quest for Big Insight"- Path to Actionable Insights from the Data Deluge

 Amitabh Bose

Amitabh Bose

Senior Director, Capability Creation Organization

WNS Global Services

Amitabh Bose is a Senior Director with the Capability Creation Organization at WNS. Amitabh is responsible for developing the future organizational capability in analytically enabled business processes.

With a rich experience of close to two decades, Amitabh has worked with some of the leading brands like Procter & Gamble, Pepsi Foods and Marketics Technologies.
At WNS, Amitabh has been instrumental in building the analytics practice across industry verticals, such as CPG, Retail and Media & Entertainment in the past six years. He developed the WNS Analytics Decision Engine (WADESM), a sector-specific framework for accelerating analytics adoption in the industry. WADESM won the Golden Peacock Innovative Product / Service Award for the year 2011.

Amitabh is an alumnus of the Faculty of Management Studies (FMS), Delhi University with a Bachelor of Engineering degree in Electronics and Computer Architecture.

Case Study: Closing the Chasm Between Marketing and Sales

 Frank H Bria

Frank H Bria

Principal

Bria Analytics Group

Frank Bria is a Research Director in TowerGroup's Retail Banking & Cards practice specializing in research and advice on banking analytics and consumer lending. The topics he covers include marketing, risk, and operational analytics as well as business processes associated with consumer lending, risk management, and pricing. Frank has 15 years' experience in the financial services sector involving data analysis, loss forecasting, marketing analytics, and technology process design supporting retail banking.

Frank has been a featured speaker and contributor at a number of industry conferences, including the Mortgage Bankers Association's Mortgage Servicing Conference and financial services pricing events throughout the United States and Asia. He has been quoted in the media on pricing and loss mitigation.

Frank holds a Master of Science in mathematics from Purdue University and a Bachelor of Science in mathematics from Brigham Young University. He is a certified Six Sigma Black Belt.

Case Study: Optimization in Financial Services

 John Busbice

John Busbice

Founder

MIDA

MIDA has been developed by John Busbice. John has been working exclusively on measuring ROI and optimizing the mix of marketing investments for nearly 10 years. His work has spanned industries including online services, financial services, and pharmaceuticals.He is recognized as a thought leader. His work on the ROI of the Top 25 Pharmaceutical DTC advertisers has been quoted in the Wall Street Journal, USA Today, Bloomberg, other leading trade journals, and presented at the DTC National Conference. Further, he has presented on improving sales force effectiveness using Hierarchal Bayesian modeling at the American Marketing Association Advanced Research Techniques Forum and the Pharmaceutical Management Science Association.

John holds a Master of Business Administration from Washington University in St Louis and a Bachelor of Science in Business Administration from Appalachian State University.

Case Study: Marketing Mix Optimization: Forecasting and decision making under uncertainty

 Chris Dickey

Chris Dickey

SVP, Director of Analytics & CRM

The Martin Agency

Chris Dickey is Senior Vice President, Analytics at The Martin Agency, a top 10 agency with clients such as Wal-Mart, Discover, Geico, Pizza Hut and Norwegian Cruise Lines. The analytics department is responsible for distilling insight from customer and marketing data, including media mix modeling, social media analytics, database analytics, as well as advanced segmentation and modeling techniques. Prior to Martin Agency, Chris led the CRM and Analytics discipline at Barkley, one of the largest independent advertising agency on the country.

Chris earned a MS in Integrated Marketing from Northwestern University and attended executive management training at Harvard Business School. Chris has served as president of the Kansas City DMA, and has spoken at CTAM, CRMC, NAMA and other conferences on CRM. Chris has served at President of Camps for Kids, a non-profit for children with disabilities, as well as a multi-year stint on the Board of Goodwill Industries.

Case Study: Marketing Mix Optimization: Forecasting and decision making under uncertainty

Dr. John Elder, Ph.D.

Dr. John Elder, Ph.D.

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. 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.

Case Study: Becoming an Ace with a Robot as your Wingman!

 Jeni  Fan

Jeni Fan

Associate

Booz Allen Hamilton

Ms. Jeni Fan is a Behavioral Decision Theorist with a B.S. in Cognitive Psychology and a M.S. in Cognitive Science and Quantitative Methods. Her research background focuses on computational modeling, Decision Theory, Behavioral Game Theory, and Cognitive Engineering. In general, the goal of her research has been to understand and improve the decision-making processes so that sustainable changes can be made to optimize accuracy, efficiency, and performance.

Jeni joined Booz Allen Hamilton while a graduate fellow in the University of Oklahoma PhD program and is currently an Associate in the civil health Advanced Analytics team which provides expertise and services to government agencies such as the NIH, FDA, and CDC, as well as various commercial clients.

Case Study: Framework for Detection of Clinical States & Disease Onset Using Electronic Health Record (EHR) Data

 Eric Feinberg

Eric Feinberg

Senior Director of Mobile, Media and Entertainment

Foresee

As Senior Director of Mobile, Media & Entertainment, Eric provides leadership to ForeSee's mobile solutions as well as solutions related to the media and entertainment industries. He is responsible for working with product, delivery, sales, and marketing teams to ensure that ForeSee continues to bring innovation and operational excellence to its mobile offerings. Since joining ForeSee in 2004, Eric has been contributing to the strategic growth of the organization. He brings 15 years of customer-focused experience to the team, and is a frequent presenter at conferences in the U.S. and UK.

Eric is currently on the Board of Directors for the Digital Analytics Association (DAA), formerly the Web Analytics Association, and serves as an instructor for various trade groups on the importance and application of attitudinal analytics. Previously, he has held positions that include web analyst, multichannel strategy consultant, usability specialist and focus group moderator. His goal is to best understand and motivate multi-channel consumers on behalf of his clients.

Eric is a graduate of the University of Michigan.

Platinum Sponsor Presentation: Managing Forward: Analytics For Today's Multi-Channel, Multi-Device Consumer
Expert Panel: Big Data for Predictive Analytics

 Alexander Fleiss

Alexander Fleiss

Chairman

Rebellion Research

Alexander Fleiss serves as Chairman and Chief Investment Officer of Rebellion Research Partners LP, a Global Macro hedge fund powered by Artificial Intelligence and based in New York. Mr. Fleiss has lectured about Artificial Intelligence investing at Amherst College and in the Wall Street Journal, Fox News, Geo Magazine and Institutional Investor.

Prior to co-founding Rebellion Research in 2007, Mr. Fleiss served as a Principal at KMF Partners LP, a long-short US equity fund. While at KMF, he was primarily responsible for investments in the financial service and technology industries. Mr. Fleiss began his investment career as an analyst for the Strong Value Fund, where he developed investment algorithms with the firm's Managing Partner, Laura Sloate. Mr. Fleiss received a BA Degree from Amherst College.

Case Study: Applying Machine Learning to Global Economics

 Shantanu  Godbole

Shantanu Godbole

Analytics Architect - IBM GPS

Senior Researcher - IBM Research

Shantanu Godbole works as an Analytics Architect in IBM GPS where he is on assignment from IBM Research. He works with the research, services, and software teams at IBM to help assetize exploratory research projects, turning them into reusable analytics service offerings. His focus areas are text analytics, predictive analytics, and social network analytics and he is especially interested in seeing how they work together.
Shantanu got a Ph.D. in data mining and text mining from IIT Bombay in 2006 and has been with IBM Research since then. He regularly patents and publishes papers in research conferences in the areas of data mining and machine learning.

Case Study: Contextually Augmented Predictive Models for Call Center Next Best Action

 Anthony Goldbloom

Anthony Goldbloom

Founder & CEO

Kaggle

@antgoldbloom

Anthony Goldbloom is the founder and CEO of Kaggle. In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology, in 2013 the MIT Tech Review named him one of top 35 innovators under the age of 35 and the University of Melbourne awarded him an Alumni of Distinction Award. He holds a first call honors degree in Econometrics from the University of Melbourne. Anthony has published in the The Economist and the Harvard Business Review.

Case Study: Machines Learn, But Can They Teach?

 Tom Hamilton

Tom Hamilton

Director, Business Intelligence Competency Center

ING U.S.

Tom founded the Business Intelligence Competency Center (BICC) for ING U.S. in 2005. The BICC specializes in applying predictive modeling and analytics to drive business decision-making. The BICC's customer analytics are used throughout the enterprise for strategy development, marketing and operations management. In addition, the BICC’s predictive models have been used to generate over $250M in sales. The team currently is focused on applying customer analytics to build and strengthen lifelong customer relationships.

Prior to joining ING U.S., Tom developed his current interest in financial services and investor behavior while leading software development for an online financial planning company. Before that, Tom spent 16 years doing research and development at United Technologies Corporation, where he led programs in Data Mining, Diagnostics, Artificial Intelligence, and Electronic Service. He received eight patents and published numerous papers during that time. Tom holds Masters degrees in Computer Science and Psychology from the University of Illinois at Urbana-Champaign, and an MBA in finance from Carnegie Mellon University.

Sponsored Lab: Building Customer Relationships through Predictive Analytics

 David  Henkel

David Henkel

Manager - Digital Optimization

Penske

David Henkel is the Manager of Digital Optimization at Penske Truck Leasing, which is a leading global transportation services provider that operates more than 200,000 vehicles and serves customers from more than 1,000 locations in North America, South America, Europe and Asia.

David focuses on analyzing customer behaviors and spotting opportunities for the Penske organization by synthesizing online and offline data points. Prior to joining Penske, David led teams at Comcast and Yellowbook on developing business intelligence and data warehouse capabilities designed to empower business users by allowing them to perform data mining and advanced analytical activities. His current project of interest is improving Penske's marketing media mix allocation by examining the relationships and interactions between digital traffic, call center metrics, customer segmentation, and business seasonality.

David obtained a Masters in Information Sciences with a concentration in analytics from Pennsylvania State University and holds a Bachelor of Science in Mathematics and Marketing from Albright College.

Case Study: Marketing Mix Optimization: Forecasting and decision making under uncertainty

 Robert  Jewell

Robert Jewell

Director, Global Business Development & Partnerships

IBM Watson Solutions

A 30 year veteran of the IT industry, Bob began his career at IBM in Sales and held a number of management positions before leaving in 1993. After leaving IBM, Bob held various Senior Executive positions in Sales and General Management at several start-ups and Venture backed companies where he participated in 2 IPO's and one acquisition. These companies include Seer Technologies, Level 3 Communications, Altio Ltd. and Bowstreet, Inc. At Bowstreet, Bob was VP of Global Sales, Services and Business Development until the acquisition of Bowstreet by IBM in December of 2005.

Bob has held several executive positions in IBM Software Group and Corporate Strategy since the acquisition. Currently Bob is Director of Global Business Development for IBM Watson Solutions where he and his team are responsible for commercializing the IBM Watson technologies demonstrated in the Jeopardy! Challenge.

Case Study: Putting IBM Watson to Work

 Juergen A. Klenk, PhD

Juergen A. Klenk, PhD

Principal

Deloitte

Dr. Juergen Klenk is a principal with Deloitte Consulting LLP’s Monitor Strategy practice. He focuses on advancing Precision Medicine and Data Science in health care and biomedical research through the unique lens of his combined formal scientific training and entrepreneurial experience. Dr. Klenk has authored publications, patented inventions, spoken at international conferences, and he has started up, grown, and established innovative health analytics businesses. Throughout his career, he has worked with leading health organizations, including government health agencies, academic medical centers, pharmaceutical and biotech companies, health care providers, and non-profit organizations. His areas of specialty include strategy and business operations, digital transformation, data analytics, and science & technology. Dr. Klenk holds a Ph.D. in Mathematics and a Master’s degree in Mathematics and Physics from Eberhard-Karls-Universität Tübingen.

Case Study: Framework for Detection of Clinical States & Disease Onset Using Electronic Health Record (EHR) Data

 Max Kuhn

Max Kuhn

Software Engineer

RStudio

Max Kuhn is a software engineer at RStudio. a leading company for R software and tools. He is currently working on improving R's modeling capabilities. He has a Ph.D. in Biostatistics.


Max was a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max is the author of eight R packages for techniques in machine learning and reproducible research and is an Associate Editor for the Journal of Statistical Software. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015.


He has taught courses on modeling, including many classes for Predictive Analytics World, the useR! conference, the Open Data Science Conference, the India Ministry of Information Technology, and others.

Case Study: Right Medicine, Right Patient

 Neeraj  Kulkarni

Neeraj Kulkarni

Senior Statistician & Lead Modeling Analyst

Martin Agency

Neeraj Kulkarni is a Senior Statistician and lead modeling Analyst at Martin Agency working on key accounts like Wal-Mart, Pizza Hut, Penske and Norwegian Cruise Lines. Prior to Martin Agency, he was working with Euro RSCG where he was the lead analyst for VW, AARP and Sears. He was recognized as a Euro Star in 2008 and was part of the winning EURO analytics team at the 2009 DMA analytics competition. He has 8 years of experience in the field of CRM Analytics, Segmentation and Predictive Modeling. Neeraj has over 7 years of SAS programming experience and is also an advanced user of other statistical tools like SPSS,ArcView and Knowledge Seeker. He graduated top 5 %( Deans list of excellence) from his MBA program in Marketing at Temple University, PA and was ranked first in his undergraduate class in Chemical technology from Mumbai University, India

Case Study: Marketing Mix Optimization: Forecasting and decision making under uncertainty

 Satish  Lalchand

Satish Lalchand

Director

Deloitte Financial Advisory Services LLP

Satish Lalchand is a Director at Deloitte Financial Advisory Services LLP, specializing in advanced analytics & big data , business rules development and modeling. His areas of expertise includes: financial investigations, Enterprise Fraud Management (EFM) and anti-money laundering investigations. He has a master's degree in computer information systems and a bachelor's degree in economics.

Expert Panel: Big Data for Predictive Analytics

 Kent  McCormick, Ph.D.

Kent McCormick, Ph.D.

President & CTO

Lattice Engines

Kent is responsible for setting product direction and deployment activities. Before founding Lattice Engines, Kent served as director of business operations at EMC. In this role, he had been leading pricing and operational analytics for all of EMC. Before this, Kent was a consultant at McKinsey & Company - working with Fortune 500 companies on product development, sales & marketing business problems.

He received a Ph.D. in Physics from Berkeley, and before that a dual-degree in Physics and Mathematics from Rice University.

Platinum Sponsor Presentation: How Big Data Delivers a Competitive Advantage

 Saikat Mukherjee, Ph.D.

Saikat Mukherjee, Ph.D.

Senior Data Scientist

Intuit

Saikat is a Data Scientist in Intuit focusing on applying data mining and machine learning techniques to Intuit customer data for building innovative data driven products. In this capacity he has built systems for analyzing various kinds of data such as unstructured text voice of customer and consumer and business financial transactions. His current interests are on modeling large scale transactional data, applying big data technologies for mining, and building offers and recommendation products using the data.

Prior to Intuit, he was with Siemens Corporate Research as a Scientist and Research Manager where he led various projects around text analytics and healthcare data mining. He obtained 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: Restaurant Recommendation using Financial Likeness

 Scott Nicholson

Scott Nicholson

Chief Data Scientist

Accretive Health (formerly of LinkedIn)

Scott Nicholson is Chief Data Scientist at Accretive Health and has a PhD in Economics from Stanford. His team works to find innovative uses of data to help doctors make better decisions about care and to help people be more proactive about their own care. Before moving into the health care industry Scott was a Team Lead, Senior Data Scientist and Economist at LinkedIn where his work focused on using predictive modeling to increase user engagement and identify economically relevant insights from the rich LinkedIn data. Before LinkedIn Scott built real-time bidding and ad selection algorithms at an online advertising startup.

Keynote: Beyond Big Data: Better Living Through Data Science

 Gregory Piatetsky-Shapiro

Gregory Piatetsky-Shapiro

Editor

KDnuggets

Gregory Piatetsky-Shapiro, Ph.D. is one of the founders of KDD / Data Mining field, a co-founder of KDD (Knowledge Discovery and Data Mining) Conferences, and a past Chair of SIGKDD. Gregory is a recognized expert in Analytics and Data Mining, and the Editor of KDnuggets, the leading independent site on Analytics and Data Mining, and a top online influencers in Big Data and Data Science.

Case Study: Big Data and Big Analytics Trends: The Promise and the Hype

 Mukund Raghunath

Mukund Raghunath

Geography Head

Mu Sigma

Mukund Raghunath is the Geography Head for Mu Sigma. He has over 11 years of Engineering and consulting experience with a leading telecommunications company and a leading Sales and Marketing Strategy firm in the US. He has helped several Fortune 500 companies in the Pharmaceutical and Healthcare space address a broad range of business issues. He also has extensive experience in product planning, development and management in the telecom sector.

Mukund has a Masters Degree in Computer Science from the University of Illinois and an MBA with honors from the University of Chicago, Graduate School of Business.

Case Study: Data – Hurdle or Springboard? How to leverage data to transform your business?

 Senthil Ramanath

Senthil Ramanath

Head of Analytics

Ace Cash Express

Senthil Ramanath has over 15 years of experience in the field of quantitative analytics and technology. He is heading up the Analytics at Ace Cash Express. He has demonstrated thought leadership in the field of Consumer Credit Risk Management and co-authored a book on Credit Analysis and Risk Management.

Senthil, as a practitioner, has an in-depth understanding of various facets of credit risk. His interest lies in streamlining the system--methodology, modeling technique, and embedded assumptions--to be internally consistent for effective analytic life cycle. He is very passionate about creating value and spreading the best practices of analytic management. He holds a MBA from the Kellogg School of Management and a technical graduate degree in Engineering. In his leisure, Senthil enjoys playing with his two daughters and riding his motorcycle.

Case Study: Data Driven Modeling

 Anne G. Robinson

Anne G. Robinson

Chief Strategy Officer

Kinaxis

@agrobins

As Chief Strategy Officer, Anne is responsible for accelerating Kinaxis strategy development to add further value to customers. She and her team collaborates closely with customers, external stakeholders and the rest of the senior executive team to drive the strategic roadmap, thought leadership and identify emerging technologies and new industry opportunities.


A proven leader in analytics and digital transformation, with expertise in operations, supply chain, and strategy, Anne has extensive experience in managing supply chains for complex, global organizations. As Executive Director, Global Supply Chain Strategy, Analytics and Systems at Verizon, Anne was responsible for the strategic vision of the company’s global end-to-end supply chain, driving excellence through world-class data-analytics, process innovation and employee empowerment. Before Verizon, Anne spent several years at Cisco where she was responsible for managing advanced analytics, business intelligence and performance management teams.


Anne is a past president of INFORMS (the Institute for Operations Research and Management Sciences), a seasoned industry speaker and has served on several advisory boards. Originally from St. John's, Newfoundland and Labrador, Anne has a BScH from Acadia University, MASc from the University of Waterloo and an MSc and PhD in Industrial Engineering from Stanford University.

Keynote: Influencers, Skeptics, and Data Geeks: Using Analytics to Drive Organizational Change

 Marc Smith

Marc Smith

Chief Social Scientist

Connected Action Consulting Group

Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

Case Study: Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL

 Carol  Tannous

Carol Tannous

Senior Manager in the Data Analytics practice

Deloitte Financial Advisory Services LLP

Carol Tannous is a Senior Manager in the Data Analytics practice within Deloitte Financial Advisory Services LLP. She has over 8 years of experience specializing in data mining and analytics. Her technical experience includes the analysis and management of complex and large datasets in support of forensic accounting and financial investigations, bankruptcy cases, asset management remediation, Foreign Corrupt Practice Act violations, stock options and anti-money laundering investigations. Ms. Tannous holds a Bachelor of Engineering in Computer and Communications and a Master of Science in Information Technology from Bentley College. Ms. Tannous is based in Boston, MA.

Platinum Sponsor Presentation: Forensic Analytics - Discover insights that can help you move forward

 Jason  Verlen

Jason Verlen

Director, SPSS Product Strategy & Management

IBM Software Group

Jason Verlen is responsible for IBM SPSS' overall product strategy. This involves determining what products and capabilities should be built so that customers can achieve greater success on their journey to becoming Predictive Enterprises. He is a member of the leadership team for the SPSS brand within IBM, and as such plays a major role in market assessment, product roadmaps, and overall interactions with customers to ensure that the company's product strategy matches their emerging needs. Jason has been instrumental in driving the organization to both deepen its penetration in its traditional core markets and to integrate predictive analytics into IBM technology to drive organizational transformation in new markets with new users. His contributions stem from extensive personal experience in both the business and technical sides of the software industry.

Jason joined SPSS in 1995, and prior to his current role has held a variety of senior positions within SPSS including VP of Survey Applications, VP Professional Services, Sr. Director Corporate Sales, Sr. Director Sales Engineers, Sr. Director Information Technology, and Director Quality Assurance. Before his tenure at SPSS Jason was an Executive at SDC, a firm that produced a risk management software suite for the financial markets. He holds a Bachelor of Science Degree in Computer Science from Northwestern University and a Masters Degree in Business Administration from the University of Chicago.

Gold Sponsor Presentation:
Raising the Bar for Predictive Analytics Deployment: The Newest Techniques
Lab Session: Building Customer Relationships Through IBM SPSS Predictive Analytics
Expert Panel: Big Data for Predictive Analytics

 Dan  Woods

Dan Woods

CTO, Chief Editor/Analyst and Founder

Evolved Media, and a Forbes Contributor

Dan Woods is a seasoned CTO, author, speaker, and entrepreneur with experience in business, computer science, journalism, and publishing.

Dan is CTO, Chief Editor/Analyst, and Founder of Evolved Media, a firm that offers content creation, editorial, and publishing services to information technology, financial, manufacturing, enterprise software, electronic gaming, and biotechnology companies.

Dan pioneered the Communication By Design content development methodology, which enables rapid creation of high-quality content based on interviews with subject matter experts.

As an author, Dan has written or coauthored more than 20 books about business and technology, ranging from books about service-oriented architecture, open source, manufacturing, RFID, and wikis to the ideas driving the latest generation of enterprise applications, particularly in the face of Web 2.0's impact on the enterprise. Dan has written hundreds of white papers and conducted more than 1,000 interviews with experts in a variety of fields. He is also an invited speaker and moderator at international conferences.

As a CTO, Dan built technology for companies ranging from Time Inc. New Media to TheStreet.com. He has managed the product development cycle from initial requirements through sales for web sites and software products designed for the publishing and financial services industries. At TheStreet.com his systems supported the company's successful IPO and handled millions of daily page views while the number of subscribers tripled and new lines of business were launched. At CapitalThinking, Dan's software was purchased by the IT departments of large financial institutions including General Electric, JP Morgan Chase, and Citigroup.

Dan has an M.S. from Columbia University's Graduate School of Journalism and a B.A. in Computer Science from the University of Michigan.

And since July 2008, Dan has been writing the JargonSpy column for Forbes. For a complete list of those articles, visit our sister site, CITO Research, or Forbes.com.

Case Study: The Practical Data Scientist

 Jane  Zheng

Jane Zheng

Principal Scientist

Focus Optimal

Jane Zheng is a Principal Scientist at Focus Optimal. Prior, she was a Principal Decision Scientist with the Modeling and Analytics Strategy team at Fidelity. Jane has more than 15 years experience in modeling, data mining and market research in financial services and consulting.

Jane received her BA in engineering and her MS in mathmatical statistics.

Case Study: True-Lift Modeling: Mining for the Most Truly Responsive Customers and Prospects

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