15th Annual Advanced Analytics & Predictive Modeling Forum. Thursday July 14th 2016. Central Michigan University ...
15th Annual Advanced Analytics & Predictive Modeling Forum Thursday July 14th 2016 Central Michigan University, Education Building ‘Big’ Data or ‘All’ Data? Practical steps and challenges towards effective implementation
Event Program 8:00 a.m.
Registration
8:30 a.m.
Continental Breakfast
9:00 a.m.
Thomas Masterson, Jr, Ph.D.| Dean of the College of Health Professions at Central Michigan University Morning Greeting
9:10 a.m.
Roger Coles, Ph.D.| Interim Associate Vice Provost for Community Engagement at Central Michigan University Welcome to CMU
9:30 a.m.
Wayne Thompson, Ph.D.| Chief Data Scientist, SAS Data Science Technologies Keynote- Can Machines Really Learn? In the data science and Big Data age, machine learning and deep learning are the building blocks of competitive advantage. In this talk we will explore and evaluate different types of machine learning tasks and techniques along with a consideration of the practical issues and lessons learned implementing machine learning systems and considerations dealing with Big Data.
10:15 a.m.
Erika McBride, CPA, Ed.D.| Director of Advanced Analytics, Dow Chemical Company Talk- Realistic implementation and expectation of value This talk will focus on how to implement Big Data and what value can bring to an organization. How can companies join all diverse pieces together to provide value to the rest of the business?
11:00 a.m.
Networking break
11:15 a.m.
Colin White, MSc.| Vice President of Clinical Intelligence, Avera Health Talk – Health Care reform
Health Care reform is challenging providers to manage population health and adopt a pay for performance paradigm. This talk will address important aspects of the increase use of all different types of data to facilitate health care reform. 12:00 p.m.
Lunch
1:00 p.m.
Break-out Sessions- “Share your Experiences” Attendees will break into three groups and have facilitated discussions related to the following areas of interest: “Keeping up with ‘Big Data’: Advancements in technology” – Jim Mentele (The Institute for Health & Business Insight at CMU) “Can data revolutionize health care analytics?” – Steve Williams (MICCSI) “Organizational challenges and adaptations in the era of ‘Internet of Things’” –Chad Schumacher (Kellogg Company)
1:45 p.m.
Networking break
2:00 p.m.
Tatiana Ledneva, MS. | Director, Bureau of Health Care Analytics at NY Office of Quality and Patient Safety Case study-Big Data in health care This case study demonstrate the analysis of large volume of patient data and the relation with the physician to find if there is an epidemic and impact on community.
2:45 p.m.
Nolen Akerman, Ph.D.| Data Scientist-IT Analytics at Kellogg Company Tutorial-Meaningful Data Visualization for Unstructured and ‘Big’ Data. Growth in data storage capacity has provided a wealth of data, but the new challenge is transforming this data into actionable insights. In this presentation, a general methodology is presented that focuses on formalizing the requirements gathering process for identifying the audience, purpose, technological tools and datasets associated with a visualization design activity.
3:30 p.m.
Networking break
3:45 p.m.
Kas Kasravi, ME, J.D. | Founder and Inventor at Mind Moto, LLC Business Case- Real-time analytics Two types of processing techniques will be discussed: machine learning for detection of changes of patterns of incoming data, and continual (intensive) processing of selected data so results are ready if and when data needed. The risks of real-time data processing will also be examined.
4:15 p.m.
Speaker Panel: Big Data Analytics: Where do we go from here? Chaired by David Corliss, Ph.D.| Information Architect at Ford Motor Company
4:50 p.m.
Closing remark and Announcement of Drawing Winner
4:55 p.m.
Reception and Evening Social
