Dr. Bob Sutor is Vice President for Mobile, Solutions, and Mathematical Sciences at IBM Research. In this role he drives IBM’s worldwide research strategy and execution by starting with client requirements and advances in basic science, and then delivering cross-industry innovations to external and internal clients through business solutions and services, software products, and direct engagements. He leads a worldwide team of over 300 researchers and software engineers in the technology areas of analytics, mathematical optimization, commerce, supply chain, mobile, Internet of Things, interactive customer experience, Smarter Workforce, and agriculture.
Keynote Speaker: Professor James Pennebaker, Centennial Professor, University of Texas at Austin, Developer of LIWC
Mind Mining: Using everyday language to explore social and psychological processes – Keynote Speaker
James Pennebaker is the Regents Centennial Professor of Psychology at the University of Texas at Austin, the university from which he received his Ph.D. in 1977. His early research focused on health, emotions, and physical health. In the mid-1980s he and his students discovered that expressive writing about emotional upheavals for as little as 15 minutes per day for 3-4 days improves physical and mental health. Later, he developed the computer text analysis program LIWC. His work on natural language demonstrates the ways some of the most invisible words in English — pronouns, articles, prepositions — can reveal basic social, personality, and other psychological processes. Pennebaker is among the most cited researchers in psychology and psychiatry and the winner of multiple research and teaching awards.
Joe Caserta, President Caserta Concepts
Delicate Balance Between Governance and Innovation
Joe Caserta is a recognized big data strategy consultant, author, educator and president of Caserta Concepts, an award-winning New York-based strategic consulting and innovation technology implementation firm founded in 2001. His firm specializes in Transformative Data Strategies, Modern Data Engineering, Advanced Analytics, Strategic consulting, and Technical Architecture and Design & Build solutions, helping clients maximize data value. Joe is co-author of the industry best-selling book The Data Warehouse ETL Toolkit (Wiley, 2004), a contributor to industry publications, and frequent keynote speaker and expert panelist at industry conferences and events. He also serves on the advisory boards of financial and technical institutions, and is the organizer and host of the Big Data Warehousing Meetup Group in NYC.
The Aim of Big Data: Turning Action, Insights and Meaning Into Value
Mark Caron has more than 30 years of business and technology expertise with more than 25 years in healthcare traversing both healthcare delivery systems and health insurers.
Prior to becoming CEO of Geneia, he was Chief Information Officer and Senior Vice President of Capital BlueCross. His experience also includes senior leadership roles as the CIO of the Collaborative Care division of OptumHealth, Senior Vice President & CIO at Blue Cross Blue Shield of Wisconsin, Senior Vice President & CIO of Blue Cross Blue Shield of Massachusetts, Chief Technology Officer at Catholic Health Initiatives (a 78 hospital system), and Vice President of Information Systems at Healthsource.
He earned a bachelor‘s degree in Computer Science from Franklin Pierce College and has a MBA and a master’s degree in Computer Information Systems from Southern New Hampshire University. He is a fellow of the American College of Healthcare Executives (FACHE), certified as a Healthcare Chief Information Officer through the College of Healthcare Information Executives, and is a member of the College of Healthcare Information Management Executives (CHIME) and of the Healthcare Information Management and Systems Society (HIMSS). In 2013, Mr. Caron was named by Insurance & Technology as a 2013 Elite 8 honoree. The Elite 8 recognizes the most successful and inspiring information technology executives in the insurance industry.
David Uminsky, Associate Professor of Mathematics and Director of MS in Analytics program at the University of San Francisco
Leveraging network structure for insights on unstructured data
David Uminsky earned his B.S. in mathematics at Harvey Mudd College and his Ph.D. in mathematics from Boston University in 2009. He was subsequently awarded an NSF Mathematical Sciences Postdoctoral Research Fellowship and a University of California Presidential Fellowship to continue his research at UCLA. Dr. Uminsky came to USF in the fall of 2012 and is now the director of the M.Sc. in Analytics and associate professor of mathematics. At USF, he was awarded a three-year NSF grant for research in applied mathematics. Professor Uminsky has published 25 peer-reviewed papers in various areas of applied mathematics and his most recent interest is in the area of machine learning, unsupervised clustering and data science.
Kevin Bingham, Principal in Deloitte Consulting’s Advanced Analytics & Modeling practice
Analytics, Nudges and Habits – Transforming the World Around Us
Kevin Bingham is a principal in Deloitte Consulting’s Advanced Analytics and Modeling practice. He has over twenty-two years of industry experience, including seventeen years in consulting. He currently leads Deloitte Consulting’s claim predictive modeling and medical professional liability practices.
Kevin’s work involves consulting for the insurance industry, healthcare and life sciences industry, and public sector. The complex problems appearing during the course of his work experience has provided Kevin with dynamic research opportunities leading to the development of articles, papers and presentations addressing important “big data” topics. His publications have been the subject of panel discussions and presentations at a number of industry events and client presentations for employees and the board of directors. To date, Mr. Bingham has published over 70 articles/papers and spoken at over 100 conferences, seminars and training events.
Kevin has also helped organizations identify opportunities for profitable growth through market research focused on opportunity identification, selection and planning. He has helped organizations analyze their current state analytics skills and capabilities, strengths, and improvement areas; leading to the development of a future state analytics strategy.
He is currently the co-chair of the Casualty Actuarial Society Innovation Council, past Chairperson of the American Academy of Actuaries Medical Malpractice Subcommittee, an official spokesperson for the American Academy of Actuaries in Washington, and advisory board member and chairman of the annual Medical Malpractice ExecuSummit.
Amanda Dawson, Ph.D., Director of Research at Select Medical
The Role of Unstructured Data in Healthcare Analytics
Dawson is the Director of Research at Select Medical where she oversees clinical research and quality improvement initiatives at more than 100 nation-wide long-term acute care hospitals. Prior to joining Select Medical, she was a research fellow in biomedicine at Albert Einstein Hospital’s Moss Rehabilitation Research Institute. She earned a PhD in Experimental Psychology from Penn State University and completed her post-doctoral training in Physical Medicine & Rehabilitation from the University of Pennsylvania Medical School. She has received funding from the NIH, Albert Einstein Society and Pennsylvania Department of Health, and has published numerous articles on hospitalized patient outcomes and stroke rehabilitation. Her current research involves identifying patient subpopulations and characterizing clinical practice patterns and patient outcomes over time.
Dr. Rod Fontecilla, Vice President of Application Services for Unisys Federal Systems
Dr. Rod Fontecilla is Vice President of Application Services for Unisys Federal Systems. In this role, Dr. Fontecilla leads all aspects of software development, system integration, mobile development and data analytics focused on the federal government. He also leads Big Data Analytics (BDA) globally for all Unisys as Chief Data Scientist. In this capacity, he is responsible for creating data analytic products for multiple industries creating predictive models using machine learning algorithms. He leads a cadre of data science professionals providing business insights to our customers. Dr. Fontecilla is responsible for providing leadership, coordination and oversight on all IT solutions, data analytics, emerging technologies and IT services delivery. He has more than 25 years of professional experience in the implementation of large and complex mission-critical IT solutions for both commercial and the federal government. Dr. Fontecilla brings an extensive background and expertise in data analytics, cloud computing, mobile development, enterprise architecture, and IT governance and strategy. Dr. Fontecilla received his Ph.D. from Rice University on Applied Mathematics.
Diane Berry, SVP of Marketing Strategy, Coveo
Intelligent Search: Making Unstructured Data Make Sense
Diane Berry is Senior Vice President of Market Strategy at Coveo. Diane seeks out and analyzes market, industry and economic opportunities for growth; works with the analyst community as well as media; and acts as a spokesperson and industry voice to help organizations understand how to leverage intelligent, cloud-based search apps to change the nature of work. Diane has more than 20 years of experience in high-growth, innovative B2B technology companies and in publishing and advertising. Prior to Coveo, Diane was Senior Vice President, Marketing and Advisory Board Chair at Taleo, a leading workforce management cloud solutions provider acquired by Oracle in 2012 and which had its Initial Public Offering on NASDAQ in 2005. She has also served as Chair of the Advisory Board and Chief Marketing Officer of SelectMinds, a corporate social networking solutions provider, also acquired by Oracle; and Chief Marketing Officer and Chief Strategy Officer of Smyth Solutions, a provider of cloud-based accounts receivable and credit applications. Diane has also served as an executive in the publishing industry with both Ziff Davis and Journal Register Company.
Jonathan Marks, Co-Founder, Quorum
Transforming Legislative Advocacy with Big Data
Jonathan Marks is the technical cofounder of Quorum, an online legislative strategy platform that provides unique quantitative insights into the legislative process and changes the way that legislative professionals understand, explain, and influence the legislative process in Washington and state capitols across the country. Originally from Brookfield, Wisconsin, Jonathan recently graduated from Harvard Summa cum Laude with Highest Honors in Chemical and Physical Biology and Computer Science. Jonathan is a 2014 Rhodes and Marshall Finalist, a member of Phi Beta Kappa, an HHMI Interdisciplinary Undergraduate Fellow, Herchel Smith Fellow, and a three-time published author in peer-reviewed journals. Recognized by the international Undergraduate Awards as a Highly Commended Scholar, his work was recently selected as among the top 25 internationally in the life sciences.
John Vance Sullivan, SAP America, Director – GlobalSystems of Innovation
Analytics Robots – It is not what data can reveal, but who data can influence!
John Vance Sullivan is Director of SAP’s Global Systems of Innovation. John has spent his career leading companies through continuous improvement processes, growth and retrenchment cycles by uncovering strategic challenges and developing solutions that mitigate and control those business influencers. His work in Predictive and Prescriptive Analytics has spanned from Preferred Vendor Lead-Time Strategies, HR Discrimination Identification, Supply Chain Optimization, Naval Surface Weapons Strategy, and Nuclear Energy Human Performance & Root Cause Investigations. His undergraduate degree is in Analytical Chemistry and he has a Masters in Management Science / Operation Research from Duke University.
Dr. Sreekar Krishna is a Data Scientist at KPMG LightHouse, a Big Data consulting arm of the KPMG Advisory practice. He specializes in working with KPMG’s customers and providing Big Data solutions to improve their business process or customer engagement. Specifically, he focuses on the core areas of Machine Learning and its associated technologies like Natural Language Processing, Data Munging, Collaborative Filtering, Data Models and Simulation. Previously he worked at Microsoft Bing as a Senior Researcher in the Core Ranking and Relevance team, before which, he held the position of Assistant Research Technologist with the School of Computing, Informatics & Decision Support Engineering, Arizona State University. He has published a book chapter, 5 journals and over 30 conference papers in various academic venues. In the past, he has worked with various research institutions including Samsung SDS Korea and UtopiaCompression Corporation on advancing computer vision algorithms for real-world applications including target tracking, marine obstacle avoidance, face detection in videos and visual knowledge discovery. He also worked at the Indian Institute of Science, Bangalore, India as a research assistant towards developing real-time face detection and person tracking algorithms.
James Serra, Microsoft , Big Data TSP, Americas C+E Blackbelt Team, NYM/MASD
James is a big data and data warehousing technology specialist at Microsoft. He is a thought leader in the use and application of Big Data technologies, including MPP solutions involving hybrid technologies of relational data, Hadoop, and private and public cloud. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 25 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of PASS events including the PASS Business Analytics conference and the PASS Summit. He is the author of the book “Reporting with Microsoft SQL Server 2012”. He received a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas.
Joe Zilka, Government Solutions Manager, SAS State and Local Government
Leveraging Unstructured Data and Big Data to Enhance the Quality of Life of Children
Joe Zilka manages a solution team in the State and Local Government practice at SAS. He has been supporting SAS Business Analytics solutions across the government space since 2000 and data management in a variety of industries since 1996. Joe is currently focusing on improving child well-being by the use of analytics. Child safety, improved outcomes and child support services are receiving special attention. He has worked with a number of customers addressing government overpayments, child well-being, criminal justice and public safety, transparency, outcomes management and program measurements. Joe has helped workers’ compensation, unemployment insurance, tax and revenue, Medicaid and social service agencies find ways to take advantage of the oft under-utilized and diverse data that states hold and apply advanced analytics to help promote efficiencies and better outcomes as well and reduce overpayments. He holds a Bachelor of Science degree from Miami University and a Master of Science degree from Saint Louis University.
Henri Waelbroeck, Director of Research, Portware, LLC
Using Elementized News Feeds and Social Media Sentiment to Formulate the Optimal Response to an Intraday Surprise in Stock Prices
Henri serves as global head of research at Portware LLC, where he leads the team behind Portware’s intelligent EMS (execution management system). After his PhD at the University of Texas at Austin in 1990, he served as Research Professor at the Institute for Nuclear Sciences at UNAM, Mexico, publishing in a range of topics from Quantum Gravity to Neural Networks, Molecular Evolution and Genetic Algorithms. In 1997 he co-founded Adaptive Technologies, Inc. which sold the world’s first agent-based system aiming to identify and exploit predictability bubbles in stock prices. Henri moved to New York in 1999 to find innovative ways for institutions to source liquidity more efficiently. Currently Henri is applying big data techniques and market impact science to help institutional trading desks maximize alpha capture.
John F. Sowa, Co-Founder of Vivomind Intelligence
John F. Sowa spent 30 years working on R & D projects at IBM. He has a BS in mathematics from MIT, an MA in applied mathematics from Harvard, and a PhD in computer science from the Vrije Universiteit Brussel. He is a fellow of the American Association for Artificial Intelligence, and he has published several books and many articles on artificial intelligence, computational linguistics, and related areas of cognitive science. With his colleagues at Kyndi, he has been developing novel methods of logic and ontology for reasoning and language understanding. The system of conceptual graphs, which he designed, has been adopted as one of the principal dialects of the ISO/IEC standard for Common Logic.
Kevin Purcell, Chief Data Scientist, WildFig
Listening and Speaking: leveraging NLP to synchronize the marketing conversation
As WildFig’s Chief Data Scientist Dr. Purcell, brings over a decade of experience in quantitative analysis, research design and execution. Kevin has a Ph.D. in Environmental and Evolutionary Biology and has managed a research program focused on the effect of disturbance on complex ecological systems. Kevin’s research involves a wide array of computational and statistical approaches including data mining and informatics, statistical learning and forecast modeling. Dr. Purcell has published 14 peer-reviewed papers focused on various data-driven research disciplines and has been invited to present his research at numerous professional conferences.
Dr. Francisco J. Cantu-Ortiz, Professor of Computer Science and Artificial Intelligence and Associate Vice-Provost for Research at Tecnológico de Monterrey, and head of the Center for Artificial Intelligence and the Center for Informatics Research
Dr. Francisco J. Cantu-Ortiz holds a PhD in Artificial Intelligence from the University of Edinburgh, UK, a MSc in Computer Science from North Dakota State University, USA, and a BSc in Computer Systems Engineering from Tecnológico de Monterrey, México. He is Full Profesor of Computer Science and Artificial Intelligence and Associate Vice-Provost for Research at Tecnológico de Monterey. He was head of the Center for Artificial Intelligence and the Center for Informatics Research. He has published around 60 scientific articles in international journals and conferences and around 20 edited books. He has been an invited speaker in various international conferences and is accredited as National Researcher by the National Council for Science and Technology, Mexico. His research interests include knowledge-based systems and inference, machine learning and data mining using Bayesian and statistical techniques for research intelligence and science & technology management. He has an interest in epistemology and philosophy of science & religion.