SPEAKERS AND SESSIONS

Keynote Bart Crider - GE Healthcare VP of Data & Analytics Ashley Kanok - GE Healthcare Senior Director of Data & Analytics

Bart Crider is Vice President of Data & Analytics for GE Healthcare in Milwaukee, WI. In this role, he directs the platform, architecture, development, and data science capabilities that are used for all internal business functions. Bart is also heavily involved in defining the future state reference architecture of GE’s enterprise data lake as well as driving data governance initiatives. As a 20 year IT professional, he has been a frequent speaker and panelist at a variety of conferences covering CRM, , and .

Bart specializes in combining business and technical acumen to drive business value using data technologies. He has driven several large-scale technology initiatives that defined IT as a collaborative and valued resource to the business. Bart is well-versed in broad spectrum of data capabilities and has used that knowledge to optimize the use of traditional as well as contemporary BI and analytics technologies.

Bart received his undergraduate degree in Business Administration from Baylor University and his Masters of Business Administration in Information Management from the University of Texas. Prior to joining GE, he worked for several high-tech manufacturers driving CRM and MDM strategies and programs. He currently resides in Pewaukee with his wife and 2 teenagers.

*************************************************************************************

Ashley Kanok is Senior Director of Data & Analytics for GE Healthcare in Milwaukee, WI. Her teams deliver end to end business intelligence and big data analytics solutions for Commercial, Finance, Manufacturing, Service, and other functions. She is leading a key transformational effort to move data & analytics to a DevOps operating model as well as incorporating agile development practices into big data. Ashley is known for driving game-changing technology initiatives across multiple technologies that bridge the gap between IT and the business, and deliver solutions to meet customer needs and complex business challenges. She is recognized for redefining the business and IT relationship when it comes to leveraging big data. She is a strong advocate of self-service initiatives that transform business intelligence and analytics by introducing low touch IT development models that provided business groups with increased autonomy in data access, reporting, and analysis.

Ashley graduated from Texas Tech University with a B.S. in International Economics. She has worked in the tech industry throughout her career including positions in management consulting as well as ecommerce and government. Ashley joined GE Healthcare in September and relocated with her family to Chicago, IL. Session 1 / Track 1: Managing Analytic Operations in the Enterprise - A Scalable Path Forward

Stu Bailey – Open Data Group CTO

Stu is the Chief Technology Officer of Open Data Group. He is a technologist and entrepreneur who has been focused on analytic and data intensive distributed systems for over two decades. Stu is the founder and most recently Chief Scientist of Infoblox (NYSE:BLOX). While bringing successful products to market over the years, Stu has received several patents and awards and has helped drive emerging standards in analytics and distributed systems control. During his six years as technical lead for the National Center for , Stu pioneered some of the very first analytic applications to utilize model interchange formats.

Session Description: To gain in-market competitive advantage competitive advantage, companies are leveraging the wave of applied data science and analytics to efficiently price premiums, reduce customer churn and risk. Companies are investing time and resource to analytic model creation. But, few are asking the question: “What do I do with this model once I have created?” This tutorial introduces principle concepts, tools, and methodologies, which allow an organization to deploy and evolve mission critical analytics in a fast, safe, repeatable, and scalable manner.

This session will be relevant for deploying a wide range of analytics from simple as thresholds to complex machine learning models generated by the latest tools. The session will cover the primary AnalyticOps concepts of Analytic Engines, Model Interchange Formats, Analytic Lifecycle Management, and Analytic Deployment Metrics and Benchmarks. Finally, Stu will walk the audience through real world analytic deployment scenarios that can be used in their own organization.

************************************************************************************* Session 1 / Track 2: Securing Big Data: A Balanced Approach

Brian Genz - Counter Threat Ops Consultant at a Fortune 500 Organization

Brian is an information security professional with experience in the insurance, manufacturing, and defense intelligence sectors. He has worked in the areas of incident response, forensic analysis, vulnerability management, and security risk consulting. He currently focuses on information security threat detection and analytics at a Fortune 500 company. Professional degrees and certifications include: MBA, MSITM, CISSP, GCIH, GNFA, and GCFA. He has presented at DerbyCon, Circle City Con, Infragard, and ISACA-Kettle Moraine.

Session Description: As many organizations begin or continue their journey into the realm of big data, the steep learning curve associated with the people, processes and technology often becomes a challenge. Parallel to that, the cyber security threat landscape continues to grow in complexity at a rapid pace. These two realities can converge to produce a significant level of risk as teams focus primarily on “how to make big data work,” while attackers focus on “what security gaps did the organization fail to address.”

*************************************************************************************

Session 1 / Track 3: Big Data with Big Analysis

Matthew Bley - Sr. Sales Engineer MicroStrategy

Matthew is a Sr. Sales Engineer with MicroStrategy with 25+ years of experience in enterprise BI & analytics, mobile / web applications development and big data technologies. Matthew’s data and analytics expertise has put him in a leadership role to assist in some of MicroStrategy’s largest and most complex enterprise applications. He is currently focused on helping customers solve business problems around the areas of Big Data Technologies, Data Governance, Mobile/Web Applications Design, UI/UX design, Geospatial Analytics, and solving unique business problems. Matthew was born and raised in San Diego, CA and move to the Midwest in 1997 where he received a Bachelor’s degree in Management Information Systems. He currently resides in the Minneapolis, MN area with his wife and two wonderful children who share his enthusiasm for outdoor adventure.

Session Description: More information coming shortly.

************************************************************************************* Session 2 / Track 1: Big Data Impact on the Infrastructure

Ryan Wieber – Cloudera Systems Engineer

Ryan Wieber is a Systems Engineer at Cloudera. He has over 15 years’ experience as a Data Warehouse Architect, ETL Architect and Database Administrator and has worked at companies such as Oracle, Best Buy, Thomson Reuters and Boston Scientific. Ryan has a Bachelor’s Degree in Computer Science and Law Enforcement from Minnesota State University and has completed Masters Coursework related to spatial database systems and clustered database systems at the University of Minnesota.

Session Description: Whether you are planning to host your big data project on-premises, in the cloud or a hybrid of both, there are many topics to consider as you embark on your journey. In this session, Ryan Wieber will review the different approaches to infrastructure and will help you determine which path is right for you. He will discuss considerations, type of nodes, configurations, and networking for each option. Ryan will also cover what and when to run on-premises vs the cloud, how to connect clusters, and how to ensure everything is handled in a secure manner. Attend this session and walk away with the info you need to make the right infrastructure decision for your company.

************************************************************************************* Session 2 / Track 2: Five Keys to Big Data Audit & Protection

Craig Burlingame – Imperva

Craig Burlingame is currently Principal Security Engineer-Strategic Accounts at Imperva. Craig was also a Senior Systems Engineer with specializing in security for major accounts. He started his career in security at Nokia/Checkpoint.

Session Description: This session will provide you with the information necessary to make an informed decision on what is required to choose a Data Audit and Protection solution for your Big Data environment. It will cover the basic requirements of the tools, scalability issues, deployment options, and the difference between security and auditing and how they tie together.

************************************************************************************* Session 2 / Track 3: Data Analytics for Solving Business Problems

Alex Kolker – UW Milwaukee

Alexander Kolker holds a Ph.D. in applied mathematics. He is an expert in the use of advanced data analytics for dynamic supply and demand balance problems, staffing optimization, and time series forecasting with the main focus on healthcare applications. He is the lead editor and author of 2 books, 8 book chapters, 10 journal papers, and a speaker at 18 international conferences & webinars in the area of operations management and data analytics.

As an adjunct faculty at the UW-Milwaukee Lubar School of Business, he developed and taught a graduate course Healthcare Delivery Systems-Data Analytics. Alex serves on the review board of Healthcare Management Science journal, the Journal of Medical Systems and the Editorial Advisory Board-Utilizing IT systems across disciplines and has worked in healthcare for over 18 years.

Session Description: This session will discuss concepts for simulation analytics for studying complex business problems in comparison to machine learning and data science algorithms:  Three main types of business simulation analytics and their primary areas of application  Practical examples of two business simulation analytics applications: o Healthcare: Analysis of the optimal staffing and performance of a team of medical providers for a hospital unit o Banking & Finance: Analysis of the staffing and utilization of a team of mutual fund analysts for timely producing ‘buy-sell’ reports

Executive Leadership Panel

Bart Crider – GE Healthcare VP Data & Analytics

Information is available about Bart in our Keynote section.

Randy Kirk – Direct Supply EVP & Chief Data Scientist

Randy began his career at Direct Supply in 1987 as an intern. Early on, Randy led a team supporting technology and building custom business systems for Direct Supply. Starting in 1994, he and his team helped build and launch Direct Supply’s DSSI eBusiness unit. In 1998, Randy became DSSI’s Chief Operating Officer, holding that role until 2009 when he became Direct Supply’s first Chief Technology Officer. Most recent in 2013, Randy became Direct Supply’s first Chief Scientist, focused on bringing advanced scientific and technology disciplines together to help create new and valuable services for our customers.

Randy also invests in advocacy to Direct Supply’s customers. Starting in 2001, Randy helped launch the LTC Consortium (LTCC) for HIPAA, a collection of compliance, legal, and technology professionals charged with implementing HIPAA in LTPAC businesses. Around the same time, what began as a subcommittee of CIOs in the DSSI user group, developed into the CIO Consortium (CIOC), a group of senior technology executives working to advance the positive impact of technology across Long Term and Post-Acute Care (LTPAC) settings. Randy continues to serve as facilitator to the CIOC, which has partnered with a Nurse Executive group to improve the state of EMR/EHR systems across all LTPAC settings.

Randy earned a Bachelor of Science from the MSOE University in 1993 and lives with his wife and children near Milwaukee, Wisconsin

Scott Crouch – GMR Marketing VP of IT

Scott is a 20+ year experienced IT leader with a passion for technology and a talent for bridging the gap between technical jargon and business needs. He began his IT career in technical support, but quickly gravitated towards management, with brief stops in networking, development, and project management along the way. He has been with GMR Marketing since 2001 and heads up their global IT support, infrastructure, application development, and business systems teams.

Aaron Colcord – FIS Mobile Director of Engineering, Data & Analytics

Aaron is the Director of Engineering, Data & Analytics serving FIS Mobile’s big data initiative within its Digital Finance Division. Aaron has over 20 years in developing Business Intelligence solutions and has participated in technical editorship of several Big Data books. Aaron holds a Master degree in Information Technology from University of Wisconsin. Moderated by – Terry Noonan - Pure Storage VP of Technology

Terry Noonan is VP of Technology at Pure Storage. Terry focuses on the simplicity and manageability of Pure’s products. He also helps lead the development of Pure’s cloud management platform, Pure1. Terry is a longtime storage industry veteran who also held leadership roles at Seagate/Evault, Shavlik Technologies, NetApp, and Symantec. Noonan also spent nearly seven years at Veritas, most notably as vice president and CTO of the data management group.

***** After the sessions close, we will provide an opportunity to mix and mingle with industry colleagues in a beautiful setting provided by our friends at Potawatomi Bingo Hotel and Casino!