|This event is over.||Presentations|
Date: October 27, 2016 from 8:30am to 3:00 p.m. CST
Location: Houston, TX - CityCentre Three, Suite 200 (Texas A&M University-Mays Business School facility)
Cost: There is no cost to attend this event.
SAS Day at Texas A&M
An event hosted by the Department of Statistics at Texas A&M University and led by Dr. Simon Sheather, Professor and Academic Director MS(Analytics) & MS(Statistics) online at Texas A&M University’s Department of Statistics.
This event will highlight speakers from the SAS Institute, Inc. and industry experts that will discuss topics including analytics and data mining to make better business decisions. A panel of experts from industry will discuss how their companies are using big data and analytics, and how they are fostering a fact-based decision making culture in their companies. The number of participants is limited.
Participants also gain insight into:
- The benefits from using big data and analytics in your business
- Common obstacles to big data and analytics
- How companies build a culture of using big data for better decision making
- The types of data, software and statistical methods used in analytical decision making
|Breakout Session I||10:00am|
|Breakout Session II||11:05am|
|Lunch with Keynote Speaker||12:15pm|
|Mix, Mingle, and Learn||1:30pm|
Dr. John Brocklebank
Senior Vice President
SAS® Solutions OnDemand
In an ever changing data-dependent world, professionals can no longer rest on existing concepts. We need to ask ourselves how data drives daily decisions, and future direction while protecting our most valuable assets. Join Dr. John Brocklebank as he discuss SAS’ position in the market, emerging technologies and analytical concepts.
Dr. Simon Sheather
Academic Director of Online Programs & MS Analytics
Texas A&M University
Simon Sheather is the Academic Director of Online Programs and the MS (Analytics) program at Texas A&M University. From 2005-2014, he served as Professor and Head of the Department of Statistics at Texas A&M University. Previously he was a faculty member at the Australian Graduate School of Management at the University of New South Wales in Sydney, Australia.
Other Featured Speakers
Senior Data Scientist & Advanced Analytics Expert
Mr. Fabbi is a senior data scientist and advanced analytics expert with over 28 years of extensive experience in several industries including Oil & Gas. He has been employed at the SAS Institute for the last 10 years working with the Americas Energy Overlay Team designing and implementing predictive model solutions in SAGD operations optimization, pipeline forecasting and optimization, and power utility forecasting and risk management.
Principal Industry Consultant & Chief Health Analytics Strategist
Health & Life Sciences Global Practice, SAS Institute
The application of advanced and predictive analytics to address many complex issues in health care has evolved from an opportunity to that of an imperative for the improvement of patient safety, outcomes, costs and operational efficiencies. This imperative is driven, in part, by growth in the digitization and availability of health care data along with changes in social, economic and legislative considerations related to availability, access and quality of care. Sir William Osler famously noted in an address to the New York Academy of Medicine in 1897 that, “When schemes are laid in advance, it is surprising how often the circumstances fit in with them.” One could argue that Dr. Osler was in part laying the ground work for the application of analytics and predictive modeling to improve health care. In this presentation, we will examine the nature of analytics and its role in advancing and improving healthcare with a focus on delivering value now and into the future.
Vice President, Energy Technology and Innovation
Raiford Smith and his team lead Entergy’s pursuit of new, enabling technologies such as Distributed Energy Resources, big data analytics, and the development of customer-facing products and services. Mr. Smith is based out of Entergy’s offices in The Woodlands, TX. Entergy is an integrated energy company that owns and operates approximately 30GW of electric generating capacity and delivers electricity to 2.9 million utility customers in Arkansas, Louisiana, Mississippi and Texas.
Senior Data Scientist
General Motors, Office of the CIO
Defining and Enabling Advanced Analytics Architecture at General Motors
In the presentation Joe will discuss enabling reusable technology building blocks (including SAS) that GM is leveraging across multiple Analytics initiatives in support of GM Advance Analytics framework.
- Networking Lunch
- Seeking analytical talent? Bring a copy of your posting for our JOB BOARD.
- Texas A&M Mays MBA Programs
- Texas A&M MS Analytics
- Houston Energy Data Science (HEDS) Meetup
- Market Basket Forecasting
- Machine Learning with Enterprise Miner
- Networking efficiency for Utilities