14th Annual Advanced Analytics and Predictive Modeling Forum
"The Dark Side of Analytics"
The IHBI team is glad to bring you another year of interesting speakers and topics at the 14th Annual Advanced Analytics and Predictive Modeling Forum! The topic this year will encompass the mistakes and ethical boundaries associated with Big Data, analytics, and visualization, and ways we can correct and prevent these from occurring. If you missed the "save the date" email from us and need your contact information updated or if you have any other forum-related questions, please email us at email@example.com. The presentations from last year's forum are available to view at the bottom of the page.
To view the working agenda for this year's forum, please click here.
13th Annual Forum Presentations
Timothy Pletcher, DHA
Director of Technology and Applied Research of the Institute for Health and Business Insight
Visualizing the Future of Big Data:
Making Sure Bigger is Really Better
This session highlights what is on the data science
horizon and share some industry specific
opportunities, in addition to exploring how the many
challenges of data analysis, statistical rigor, data
cleansing, and valid interpretation of results can be
mitigated by new technologies and approaches.
Enterprise Integration and Security Architect for the
State of Michigan
Enterprise Information Management - Next Steps for Michigan
This session shares experiences with and visions for
leveraging data, analytics, and visualization tools for
the State of Michigan through examples used to
successfully deliver and improve services.
IT Director of the Revenue Cycle Tech Services at the University of Michigan
Relative Value Units (RVUs) - Reporting and Analysis for Everyone
This session will present a
full demonstration with
demo data of how the Fast Analytics team
multi-worksheet dashboards that allow a
wide variety of reporting analytical
Theresa Kotanchek, Ph.D.
Chief Executive Officer of Evolved Analytics
Evolving a Competitive Advantage
This presentation will demonstrate novel approaches
to visualize results derived from complex, large, or
“messy” data using analytic and qualitative
methodologies in ways that convey robust insights
yet increase comprehension.
Senior Field Engineer of Pivotal, Inc.
An Introduction to Apache Hadoop
The use of Hadoop for big
data has become a
fundamental component of any big data strategy.
will offer a general understanding of the
Hadoop ecosystem and how it is poised
the data science and advanced analytics landscape.
HP Fellow of the Enterprise Services Business Unit for Hewlett Packard
analytics is gaining popularity, it is important to
investigate the need for
analytics governance in
order to create the most business value from the
applications of analytics. It’s not about analytics – it’s
about how analytics
is leveraged in an Enterprise.
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