BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Tendenci - The Open Source AMS for Associations//Tendenci Codeba se MIMEDIR//EN BEGIN:VEVENT DESCRIPTION:--- This iCal file does *NOT* confirm registration.\r\nEvent d etails subject to change. ---\r\nhttps://www.spegcs.org/events/2422/\r\n\r \nEvent Title: SAS Day at Texas A&M\r\nStart Date / Time: Oct 08, 2013 08: 30 AM America/Chicago\r\nLocation: CityCentre Three, Suite 200 (Texas A&M University-Mays Business School facility)\r\nGoogle\r\nhttp://maps.google. com/maps?q=842+W.+Sam+Houston+Pkwy+North,+Suite+200,Houston,TX,77024\r\n\r \nForecast\nhttp://www.weather.com/weather/monthly/77024\r\n\r\nEvent Deta ils\r\nDate: October 8, 2013 from 8:30am to 1:30 p.m. CST\r\nLocation: Hou ston, TX - CityCentre Three, Suite 200 (Texas A&\;M University-Mays Bus iness School facility)\r\nCost: There is no cost to attend this event.\r\n SAS Day at Texas A&\;M\r\nAn event hosted by the Department of Statisti cs at Texas A&\;M University and led by Dr. Simon Sheather, Professor a nd Department Head of Texas A&\;M University&rsquo\;s Department of Sta tistics.\r\nThis event will highlight speakers from the SAS Institute, Inc . and industry experts that will discuss topics including analytics and da ta mining to make better business decisions. A panel of experts from a var iety of industries will discuss how their companies are using big data and analytics, and how they are fostering a fact-based decision making cultur e in their companies. The number of participants is limited. \r\nParticipa nts will hear how big data and analytics are being used in companies in: \ r\n\r\nOil/Gas\r\nEnergy supply and distribution\r\nGovernment\r\nSports \ r\n\r\nParticipants also gain insight into: \r\n\r\nThe benefits from usin g big data and analytics in your business\r\nCommon obstacles to big data and analytics\r\nHow companies build a culture of using big data for bette r decision making\r\nThe types of data, software and statistical methods u sed in analytical decision making \r\n\r\nReserve your seat any time befor e October 1st. Dress is business casual. Continental breakfast and light l unch will be available free of charge.\r\nAgenda\r\n \r\n\r\n\r\n\r\n\r\nB reakfast\r\n\r\n\r\n8:30am\r\n\r\n\r\n\r\n\r\nWelcome\r\n\r\n\r\n9:00am\r\ n\r\n\r\n\r\n\r\nPlenary Session: Dr. Stephen A. Holditch, P.E.\r\n\r\n\r\ n9:10am\r\n\r\n\r\n\r\n\r\nBreakout Session I\r\n\r\n\r\n10:00am\r\n\r\n\r \n\r\n\r\nBreakout Session II\r\n\r\n\r\n11:05am\r\n\r\n\r\n\r\n\r\nLunch with Keynote Speaker: Dr. John Brocklebank\r\n\r\n\r\n12:15pm\r\n\r\n\r\n\ r\n\r\nFeatured Speakers\r\nDr. Stephen A. Holditch, P.E. Professor Emerit us of Petroleum Engineering Texas A&\;M University\r\nExplore how stati stics has been used to determine the volume of natural gas that can be pro duced in the world in the coming century. Also hear about hydraulic fractu ring and how to develop tight oil and gas reservoirs in an environmentally responsible manner.\r\nDr. John Brocklebank Vice President SAS®\; Solu tions OnDemand\r\nLearn how big data is used to devise technology solution s to critical state and local government issues, such as fraud, waste, tax collection, public safety, and education.\r\nCharles Chase Chief Industry Consultant Demand Solutions SAS Manufacturing &\; Supply Chain Global Practice\r\nSmart organizations share common goals and performance metrics . They are also nimble and work collaboratively, focusing on sustainable s trategic objectives. They take a more balanced approach that looks horizon tally across the supply chain, virtually eliminating silos and optimizing the process from market-to-market and supplier-to-supplier&rsquo\;s suppli er. The new focus on the value supply chain is how companies can listen to their customers, assess the market, and then create a more accurate deman d response.\r\nJoe Indelicato Senior Strategic Architect SAS Institute, In c.\r\nHis presentation will take a look at novel and proven approaches to using the power of analytics for decision making within the National Footb all League. Traditional football is driven off the gut feelings of coaches and front office personnel, making decisions based off of previous experi ences in regards to calling plays, personnel decisions and salary cap mana gement. These decisions tend to be biased towards personal experiences and lead to sub-optimal conditions and often ultimately result in a poor perf orming organization and game play.\r\nDr. Michael Thompson Managing Direct or &\; CEO First Analytics\r\nDr. Thompson will discuss what it means t o compete on analytics, strategies for getting started and specific case e xamples, including fuel price optimization and industrial safety analysis. \r\nKeith Holdaway Principal Solutions Architect SAS Global Oil &\; Ga s Business Unit\r\nThe oil and gas industry is engulfed by a plethora of d isparate data collated across multiple geoscientific and siloed discipline s. Moreover, the data are growing exponentially as digital oilfields are b eing implemented in some fashion to manage conventional and unconventional assets. Performing exploratory data analysis and generating data marts ta ilored to specific advanced analytical workflows are cornerstones to enabl e development and deployment of predictive models that are data driven, bo th in real-time and across historical data sets. Keith will discuss strate gies for decreasing costs and reducing risk while maximizing shale gas pro duction as well as advanced analytical capabilities that provide a compreh ensive understanding of the reservoir heterogeneity.\r\nJosh Wills Senior Director of Data Science \r\nHadoop is an open source framework that cons ists of a file system that allows organizations to manage large amounts of data and process computation across many computers. Because of its abilit y to scale and run on &lsquo\;commodity hardware&rsquo\;, Hadoop is drawin g tremendous interest as a low-cost alternative for data storage. Organiza tions increasingly are seeking to expand use for Hadoop as an important in frastructure component for analytics. SAS users in particular have a heigh ted interest in understanding how big data administration can be simplifie d so that more analytics can be run against more data for better results. Session attendees will gain a better understanding of the considerations n eeded for integrating Hadoop into an overall high performance analytics st rategy.\r\nJohn Doran Global Director of Trade Monitoring and Surveillance ConocoPhillips\r\nCo-presenting with Patrick Woody on compliance issues, Doran brings more than 20 years of experience providing advisory services and analytical modeling methods to his global responsibilities at Conoco, the world&rsquo\;s largest independent exploration and production company. \r\nPatrick Woody Senior Strategist for Regulatory Risk Compliance RiskAdv isory, a division of SAS\r\nCo-presenting with John Doran on compliance is sues. Wall Street regulation and enforcement is very prominent in the head lines of today&rsquo\;s financial news. Particularly in the energy trading sector where record-setting fines have been assessed against the largest names in the oil, gas and power trading business. This presentation will e xamine the role of analytics in market monitoring, regulatory surveillance and the Big Data issues confronting the regulators of energy trading. FER C (Federal Energy Regulatory Commission) and the CFTC (Commodity Futures T rade Commission) rely on analytical methods to detect market anomalies and provide the forensic evidence to prosecute cases of commodity price manip ulation and other forms of abusive trading behavior. Market surveillance i s a Big Data challenge of looking for the proverbial needle in a haystack. This presentation will discuss how analytics is being used as the metal d etector in the Big Data haystack.\r\nRegister here!--- This iCal file does *NOT* confirm registration.Event details subject to change. ---\r\n\r\n-- - By Tendenci - The Open Source AMS for Associations ---\r\n UID:uid2422@spegcs.org SUMMARY:SAS Day at Texas A&M DTSTART:20131008T133000Z DTEND:20131008T183000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240329T125358Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:CityCentre Three, Suite 200 (Texas A&M University-Mays Business S chool facility) X-ALT-DESC;FMTTYPE=text/html:
Event Details
< strong>Location: Houston, TX - CityCentre Three, Suite 200 (Texas A&\;M University-Mays Business School facility)
Cost: There is no cost to atten d 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, Pr ofessor and Department Head of Texas A&\;M University&rsquo\;s Departme nt of Statistics.
This eve nt will highlight speakers from the SAS Institute, Inc. and industry exper ts that will discuss topics including analytics and data mining to make be tter business decisions. A panel of experts from a variety of industries w ill 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 will hear how big data and analytics are bein g used in companies in:
Participants also gain insig ht into:
Reserve your seat any time before October 1st. D ress is business casual. Continental breakfast and light lunch will be ava ilable free of charge.
Agenda
 \; span>
Breakfast | 8:30am |
Welcome | 9:00am |
Plenary Session: Dr. Stephen A . Holditch, P.E. | 9:10am |
Breakout Session I | 10:00am |
Breakout Session II | 11:05am |
Lunch with Keynote Speaker: Dr. John Brocklebank | 12:15pm |
Fea tured Speakers
Dr. Stephen A. Holditch, P.E. strong> Professor Emeritus of Petrol eum Engineering Texas A&\;M University
Explore how statis tics has been used to determine the volume of natural gas that can be prod uced in the world in the coming century. Also hear about hydraulic fractur ing and how to develop tight oil and gas reservoirs in an environmentally responsible manner.
Dr. John Brocklebank Vice President SAS®\; Solutions OnD emand
Learn how big data is used to devise technology soluti ons to critical state and local government issues, such as fraud, waste, t ax collection, public safety, and education.
Charles Chase Chief Industry Consultant Demand Solutions SAS Manufacturing &\; Supply Chain Global Practice
Smart organizations share common goals and performance metrics. They are also nimble and work collaboratively, focusing on sustainable st rategic objectives. They take a more balanced approach that looks horizont ally across the supply chain, virtually eliminating silos and optimizing t he process from market-to-market and supplier-to-supplier&rsquo\;s supplie r. The new focus on the value supply chain is how companies can listen to their customers, assess the market, and then create a more accurate demand response.
Joe Indelicato Senior Strategic Architect SAS Institute, Inc.< /p>
His presentation will take a look at novel and proven approaches to using the power of analytics for decision making within the National Foot ball League. Traditional football is driven off the gut feelings of coache s and front office personnel, making decisions based off of previous exper iences in regards to calling plays, personnel decisions and salary cap man agement. These decisions tend to be biased towards personal experiences an d lead to sub-optimal conditions and often ultimately result in a poor per forming organization and game play.
Dr. Michael Thompso n Managing Director &\; CEO First Analytics
Dr. Thompson will discuss what it means to compete on analytics, strategies for getting started and specific case examples, including fuel price optimization and industrial safety analysis . \;
Keith Holdaway Principal Solutions Architect SAS Global Oil &\ ; Gas Business Unit
The oil and gas industry is engulfed by a plethora of disparate data collated across multiple geoscientific and si loed disciplines. Moreover, the data are growing exponentially as digital oilfields are being implemented in some fashion to manage conventional and unconventional assets. Performing exploratory data analysis and generatin g data marts tailored to specific advanced analytical workflows are corner stones to enable development and deployment of predictive models that are data driven, both in real-time and across historical data sets. Keith will discuss strategies for decreasing costs and reducing risk while maximizin g shale gas production as well as advanced analytical capabilities that pr ovide a comprehensive understanding of the reservoir heterogeneity.
Josh Wills Senior Director of Data Science  \;
Hadoop is an op en source framework that consists of a file system that allows organizatio ns to manage large amounts of data and process computation across many com puters. Because of its ability to scale and run on &lsquo\;commodity hardw are&rsquo\;, Hadoop is drawing tremendous interest as a low-cost alternati ve for data storage. Organizations increasingly are seeking to expand use for Hadoop as an important infrastructure component for analytics. SAS use rs in particular have a heighted interest in understanding how big data ad ministration can be simplified so that more analytics can be run against m ore data for better results. Session attendees will gain a better understa nding of the considerations needed for integrating Hadoop into an overall high performance analytics strategy.
John Doran a> Global Director of Trade Monitoring a nd Surveillance ConocoPhillips
Co-presenting with Patrick Wo ody on compliance issues, Doran brings more than 20 years of experience pr oviding advisory services and analytical modeling methods to his global re sponsibilities at Conoco, the world&rsquo\;s largest independent explorati on and production company.
Patrick Woody
Co-presenting with John Doran on compliance issues. Wall Street regulation and enforcement is ver y prominent in the headlines of today&rsquo\;s financial news. Particularl y in the energy trading sector where record-setting fines have been assess ed against the largest names in the oil, gas and power trading business. T his presentation will examine the role of analytics in market monitoring, regulatory surveillance and the Big Data issues confronting the regulators of energy trading. FERC (Federal Energy Regulatory Commission) and the CF TC (Commodity Futures Trade Commission) rely on analytical methods to dete ct market anomalies and provide the forensic evidence to prosecute cases o f commodity price manipulation and other forms of abusive trading behavior . Market surveillance is a Big Data challenge of looking for the proverbia l needle in a haystack. This presentation will discuss how analytics is be ing used as the metal detector in the Big Data haystack.