Predictive Analytics World for Financial Las Vegas 2018
June 3-7, 2018 – Caesars Palace, Las Vegas
Vice President, Specialist, Analytics
Francisco Azeredo is speaker of the following session:
Senior Vice President
Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics.
His initial experience at organizations such as Reader’s Digest and American Express allowed him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.
With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.
Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia.
Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW). His written articles have appeared in numerous Canadian publications such as Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was Chair at the CMA's Customer Insight and Analytics Committee and sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the 2002 Database and Technology Seminar and the first-ever Customer Profitability Conference in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.
He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability: The State of Evolution among Canadian Companies." In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian. In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.
Richard Boire is speaker of the following session:
Tracie Coker Kambies
Principal | Retail Technology and Analytics
Tracie is the U.S. Retail Sector Analytics and IoT Lead for Deloitte bringing breadth and depth of services to the Retail market in the areas of Technology Strategy, Analytics & Information Management, Cloud and IoT solutions. She is the National Analytics & Information Management & Analytics Alliance Leader, and has seventeen years of business consulting experience focused on retail, consumer and industrial products clients. Tracie also leads creation of the Retail Internet of Things strategy and solution development.
Tracie has deep experience in information management & analytics, master data management and governance, and data integration projects . She manages and delivers complex global data & analytics projects. She bring business and IT together to deliver analytics and data strategies, data quality, governance, and drive insights at the speed of business. Tracie has strong technology delivery experience and communication skills combined with a proven leadership record in the Technology and Analytics arena.
Tracie Coker Kambies is speaker of the following session:
Chief Analytics Officer
Joe joined Enova as Chief Analytics Officer in 2014. As CAO, Joe leads a multi-disciplinary analytics team that provides end-to-end data and analytic services including data warehousing, business intelligence, business analytics, fraud, credit risk and marketing. His team supports the global online financial services offered by Enova International and delivers on-demand decision-making technology and real-time predictive analytics services to clients through the Enova Decisions® brand. Prior to working at Enova, he served as Director and Practice Leader of Advanced Analytics for Chicago-based West Monroe Partners. He has also held a number of executive positions at HAVI Global Solutions and the Allant Group. Joe received a B.A. in economics from Lewis University and an M.A. in economics from the University of Illinois at Chicago. He is Immediate Past-President of the Chicago Chapter of the American Statistical Association and is on the Advisory Board of the UIC College of Business Administration. Joe lives in the Chicago area with his wife and daughters.
Joe DeCosmo is speaker of the following session:
Senior Data Scientist
Dr. Daniel Fuhrmann is a Senior Data Scientist in Enterprise Data & Analytics, the central data science division within Northwestern Mutual. He currently leads the development of analytical models for algorithmic risk assessments in life insurance and creates innovative data products for the future of underwriting. Throughout his career in both industry and academia, Dr. Fuhrmann developed expertise in strategic decision-making with analytics, inferential statistical methods, survey research, econometrics, and applications of machine learning to create business value. He has co-authored more than 20 peer-reviewed manuscripts & conference presentations and served as statistician on six grant-funded projects. His most recent interests are on impactful communication for data scientists, methods to monetize data, and ways to manage information as an asset.He holds an Intermediate Diploma in Economics and Business Administration from the University of Potsdam, Germany, and both a M.A. and Ph.D. in Economics from the University of Wisconsin-Milwaukee.
Daniel Fuhrmann is speaker of the following session:
Business Insights Manager
Andy is the Data Assets Capability Director for Deloitte Australia and has more 15 years of analytics project experience across several countries. Coining the phrase Datostraficante (Data Trafficker) to describe his current focus, Andy's activities are increasingly geared towards data monetization and advocacy around the creative blending of diverse data sources to deliver an analytical edge.Specializing in customer, market and spatial analysis, Andy is a self-described 'ultralight quant' who uses storytelling to bring to life the power of predictive analytics for diverse internal and external clients.
Andy Gray is speaker of the following session:
Head of Data Science
John is the head of Data Science at Maiden Re. His prior positions in the insurance industry include predictive modeller, assistant actuarial analyst, and manager of quantitative analytics. As a mathematics professor, John taught graduate courses data mining and machine learning, applied probability and stochastic modelling, actuarial mathematics, and financial mathematics. John holds a PhD in statistics, and master's degrees in statistics, and computational finance and risk management. He has published work in top journals on topics in veterinary science, climate modelling, statistical theory, and actuarial science. John is a frequent speaker at academic and industry conferences.
John Henry is speaker of the following session:
Christina Hoy is Vice President, Corporate Business Information and Analytics, at the Workplace Safety and Insurance Board (WSIB). She leads a team in governing and transforming data into high-quality, high-value information solutions to drive better outcomes for the workers and employers of Ontario. Christina led changes on numerous information fronts, from establishing data standards and ensuring high-quality data to developing innovative province-wide information solutions.
Prior to joining the WSIB, Christina was Director of Health System Funding Policy at the Ontario Ministry of Health and Long-Term Care. She led the strategic development and implementation of funding reform across the province, ensuring equitable distribution of over $10 billion to more than 150 Ontario hospitals, 600 long-term care homes and 14 Community Care Access Centres.
Christina also held decision support leadership positions at Southlake Regional Health Centre and the University Health Network.
Christina Hoy is speaker of the following session:
Radha Kuchibhotla is speaker of the following session:
Founder & CEO
Mahesh is the Founder and CEO of Tiger Analytics. He started Tiger Analytics with a desire to bring his experience in management science to help organizations achieve superior performance through the application of advanced analytics.Before founding Tiger Analytics, Mahesh was on the faculty of the Smith School of Business and Rutgers Business School.
Mahesh has conducted research in the areas of data mining and statistical modeling and has successfully applied his research to solve problems related to forecasting, pricing, promotions, and customer segmentation for a wide range of businesses across industries. Mahesh holds a Ph.D. in Operations Research and Marketing from MIT, and a B.Tech in Computer Science from IIT Bombay.
Mahesh Kumar is speaker of the following session:
Manager of Operations Reporting Consistency
Richard Lee has spent over more 15 years with John Hancock Financial in various roles mostly within operations management as well as reporting, an unconventional carrier choice for graduate of Berklee School of Music. Oftentimes frustrated with the gap between IT and Operations, Richard took matters in his own hands and started to learn about data science, a crucial decision that shaped his further carrier choices. This decision several years later led to the creation of a team within operations that is tasked with supporting the business with all data and analytics needs.
Richard Lee is speaker of the following session:
Principal & Senior Consulting Actuary, ASA
Syed Mehmud, ASA, MAAA, FCA, is a Principal and Senior Consulting Actuary in the Denver office of Wakely. Syed is a recognized expert on risk adjustment and actuarial applications of predictive modeling. Through the combination of large scale actuarial projects and developing popular product offerings, Syed has served most health plans in the United States in some capacity. He has worked on a variety of healthcare related projects, particularly involving the application of risk adjustment tools and implementation of risk adjustment methodologies.
Syed has worked on risk adjustment with clients in Medicare, Medicaid, and Commercial settings. His recent work includes a large-scale actuarial consulting engagement where the Wakely team simulated the HHS risk adjustment methodology in over 30 individual and small group markets across the United States. His other works include the conception and development of the Wakely Risk Assessment (WRA) model, advanced Risk Score Optimization (RSO) analytics, the Wakely RAPID program, and the Wakely Risk Insight (WRI) program.
Most recently, Syed and his team have executed an on-going national-scale project aimed at understanding the drivers of success and challenges in the Affordable Care Act (ACA) program. The Wakely Risk Insight – National Reporting (WRINR) project is a unique lens on the ACA program in that it uses detailed data on millions of ACA lives in order to uncover insights related to succeeding in this program.
Syed co-authored (with Ross Winkelman) the 2007 Society of Actuaries' study on the comparative assessment of risk assessment models. Syed led a 2012 Society of Actuaries’ study on Uncertainty in Risk Adjustment. His other major published works include Society of Actuaries research project titled 'Non-Traditional Predictors in Risk Assessment' (SOA, 2013), and Risk Scoring in Health Insurance – A Primer (SOA, 2016). He is also in the process of writing a book on predictive modeling.
Syed Mehmud is speaker of the following session:
Director of Advanced Analytics
Mrs. Mei Najim is currently the Director of Advanced Analytics at Gallagher Bassett. She is responsible for leading in-house advanced analytics technical capability development.
Mrs. Najim has over 10 years of analytics experience in both personal and commercial insurance in the areas of predictive analytics, claim analytics, catastrophe risk management analytics, and actuarial reserving and pricing analytics in the Property & Casualty insurance industry. She has built and implemented various types of predictive models to solve a wide range of business problems in insurance industry. She has frequently presented in industry conferences to share her papers and expertise in predictive analytics.
She holds a Bachelor of Science in Actuarial Science from Hunan University and two separate Master of Science degrees, in Applied Mathematics and in Statistics from Washington State University. Mei is a member of the American Statistical Association.
Mei Najim is speaker of the following session:
Kevin has 17 years of experience in advanced analytics and machine learning applications in government, intelligence community, and industry. He developed artificial intelligence methods that have been deployed without modification for over 7 years making daily stock recommendations in over 40 market segments. He was previously Senior Analytics Scientist at Teradata Aster consulting on big data analytics to finance, communications, retail, manufacturing and drug clients. Advanced analytics is his second career; he earlier spent 22 years as a commercial appellate lawyer. He has over 100 publications and has presented at major international conferences and to commercial and government groups. He holds JD and MSCS degrees from U Texas and U South Florida.
Kevin Pratt is speaker of the following session:
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students, and a renowned speaker, educator, and leader in the field.
Eric has appeared on Al Jazeera America, Bloomberg TV and Radio, Business News Network (Canada), Fox News, Israel National Radio, NPR Marketplace, Radio National (Australia), and TheStreet. He and his book have been featured in Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, The Financial Times, Forbes, Forrester, Fortune, Harvard Business Review, The Huffington Post, The New York Review of Books, Newsweek, Quartz, Salon, Scientific American, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and WSJ MarketWatch. Follow him at @predictanalytic.
Eric Siegel is speaker of the following session:
Chief Operating Officer
Greg serves as Enova's Chief Operating Officer, responsible for overseeing Enova's existing products and leading the firm's operations. Greg joined the company in 2015 from Main Street Renewal, where he served as Chief Executive Officer. He also held numerous positions at HSBC, including serving as the Chief Operating Officer for HSBC USA. Greg holds an MBA from Harvard University and a BA in Economics and Political Science from the University of North Carolina Chapel Hill. Greg lives in Lake Forest with his wife and 3 children, serves on the Executive Board of the Daniel Murphy Scholarship Fund, and in his free time enjoys playing golf and traveling.
Greg Zeeman is speaker of the following session:
Data Scientist and Senior Consultant
Meina is a data scientist and senior consultant at Capco. Her core expertise lies in the application of proven data science tools and techniques to conduct business analytics and predictive modeling. Meina has used her business acumen and data science skills to solve business problems, such as churn and upsell predictive modeling, marketing qualified lead scoring system and customer journey. She also has a background in big data analytics and enjoys data visualizations. Meina is a thought leader in the data science world and is an active conference speaker. She enjoys public speaking and sharing innovative data science ideas with other people. Meina received her Master of Science in Data Science from New York University and her Bachelor of Arts in Mathematics and Economics from Agnes Scott College.
Meina Zhou is speaker of the following session:
Chief Analytics Officer
Scott Zoldi is Chief Analytics Officer at FICO responsible for the analytic development of FICO’s product and technology solutions, including the FICO™ Falcon® Fraud Manager product which protects about two thirds of the world’s payment card transactions from fraud. While at FICO, Scott has been responsible for authoring 84 analytic patents with 41 patents granted and 43 in process. Scott is actively involved in the development of new analytic products utilizing Artificial Intelligence and Machine Learning technologies, many of which leverage new streaming artificial intelligence innovations such as adaptive analytics, collaborative profiling, deep learning, and self-learning models. Scott is most recently focused on the applications of streaming self-learning analytics for real-time detection of Cyber Security attack and Money Laundering. Scott serves on two boards of directors including Tech San Diego and Cyber Center of Excellence. Scott received his Ph.D. in theoretical physics from Duke University.
Scott Zoldi is speaker of the following session: