SlideShare a Scribd company logo
September 29, 2015
Delray Beach, FL
Grooming Data Scientists for Today and for Tomorrow
Panel Discussion
Moderator:
Jennifer Priestley
Professor, Kennesaw State University
Panelists:
Jeffrey Feinstein, Sr. Director of Analytic Strategy, LexisNexis
Tim Menzies, Professor, North Carolina State University
Sri Narasimhan, Professor, Georgia Institute of Technology
Jo Prichard, Data Scientist, HPCC Systems
Murray Webb, Senior Data Scientist, IgnitionOne
Grooming Data Scientists for Today and for Tomorrow
September 29, 2:30pm
In this session, we will explore the talent gap for data scientists including the potential causes and what academia and
the private sector are doing to develop the necessary talent. Will the skills which are in such explosive demand today
still be in demand in the future? This panel of professors and practitioners will engage in a conversation about the
talent issues facing companies across the country and around the world and what they are doing about it.
Moderator Bio:
Dr. Priestley is a Professor of Applied Statistics and Data Science at Kennesaw State University where she is the Director
of the Center for Statistics and Analytical Services. She oversees the Ph.D. Program in Advanced Analytics and Data
Science and teaches courses in Applied Statistics at the undergraduate, Masters and Ph.D. levels. In 2012, the SAS
Institute recognized Dr. Priestley as the 2012 Distinguished Statistics Professor of the Year. She served as the 2012 and
2015 Co-Chair of the National Analytics Conference.
Dr. Priestley has been a featured speaker at TAG, SAS Analytics, Big Data Week, Data Science ATL, The Atlanta Chief Data
Officer Summit, The Atlanta CEO Council and dozens of corporate events addressing issues related to advanced analytics
and the challenges and opportunities of “Big Data”.
She has authored dozens of articles on Binary Classification, Risk Modeling, Sampling, Applications of Statistical
Methodologies for Problem Solving as well as several textbook manuals for Excel, SPSS, SAS and Minitab.
Prior to receiving a Ph.D. in Statistics, Dr. Priestley worked in the Financial Services industry for 11 years. Her positions
included Vice President of Business Development for VISA EU in London where she was responsible for developing the
consumer credit markets for Irish and Scottish banks. She also worked for MasterCard International as a Vice President
for Business Development where she was responsible for banking relationships in the Southeastern US. She has also
held positions with AT&T Universal Card and Andersen Consulting.
Dr. Priestley earned a MBA from The Pennsylvania State University where she was president of the graduate student
body and a BS from Georgia Tech. She also earned a certification from the ABA Bankcard School in Norman, OK, a
certification in Base SAS Programming, and a Business Analyst certification from the SAS Institute.
Panelist Bios:
Jeffrey Feinstein, PhD is senior director of analytic strategy and is responsible for developing the LexisNexis® RiskView™
Credit Risk Score. He also leads innovation efforts to bring new analytic solutions and content to the market leveraging
LexisNexis data. Before joining LexisNexis in 2010, Jeffrey developed expertise in credit data and scoring during his 14-
year tenure at FICO. He was a lead developer for FICO Score and other credit bureau-based scores. He also led the
research team that brought the alternative data-driven FICO Expansion Score to market. He has received three U.S.
Patents for his innovations in credit modeling.
Jeffrey holds an undergraduate degree from SUNY Buffalo and a PhD from Ohio State in Experimental Psychology and
Applied Statistics.
Tim Menzies (Ph.D., UNSW, 1995) is a full Professor in CS at North Carolina State University where he teaches software
engineering and automated software engineering. His research relates to synergies between human and artificial
intelligence. He is the author of over 230 referred publications and is one of the 100 most cited authors in software
engineering (http://goo.gl/BnFJs). In his career, Dr. Menzies has been a lead researcher on projects for NSF, NIJ, DoD,
NASA, USDA, as well as joint research work with private companies. He is an associate editor of IEEE Transactions on
Software Engineering, Empirical Software Engineering and the Automated Software Engineering Journal. In 2015, Dr.
Menzies will serve as co-chair for the ICSE'15 NIER track. For more information, please see his vita (http://goo.gl/8eNhY),
his list of publications (http://scholar.google.com/citations?user=Qmuz0WAAAAAJ) or his home page at
http://menzies.us.
Sridhar Narasimhan is Co-Director -Business Analytics Center (BAC) and Professor of IT Management, Scheller College of
Business. Professor Narasimhan is the founder and first Area Coordinator of the nationally ranked Information
Technology Management area. In fall 2010, he served as the Acting Dean and led the College in its successful AACSB
Maintenance of Accreditation effort. He served as Senior Associate Dean from 2007 through 2015. He has chaired
College’s Reappointment, Promotion and Tenure Committee from 2003-2007.
Professor Narasimhan was Co-PI on a grant of over $650,000 in funding (2010-14) to study the FACE project for the US
Navy. Together with Professor Saby Mitra, he developed the IT Management Partnership program. He has led various
task forces that have revamped the degree programs in the Scheller College of Business. He has developed and has
taught the MBA IT Practicum course since 2003 and worked with executives to offer projects from organizations that
include: AT&T, Bank of America, Coca-Cola, Coca-Cola Enterprises, InterContinental Hotels, Southern Company, Iron
Planet, Microsoft, NCR, HD Supply and Dell SecureWorks.
Jo Prichard, Senior Architect, has responsibilities for the core HPCC Systems platform technology at LexisNexis and
spearheads large scale graph analytics projects working with Big Data for various industries. His work helps customers
target fraud, collusion and other red flag indicates. Previously, Mr. Prichard worked for Topspeed Software R&D in
London.
Murray Webb is a Data Scientist within the core data science team at IgnitionOne, a software company operating within
the advertising space. IgnitionOne supports an integrated search, display, email, mobile and social platform that
provides self-service access to users and clients. From these channels, there is a lot of data stored from bid-streams,
clickstreams, client in-house data and email data. Within the last 5-10 years, the business landscape has become
incredibly digitalized. It is due to this digital revolution that data warehousing systems and analytical technologies have
matured into scalable systems that require a skillset that some believe is relatively rare in today’s economy. Murray’s
focus on these systems is in effort to build products out of data that was previously too large and contained too much
variance to make business sense of.
After graduating from Kennesaw State University Masters of Applied Statistics program, Murray worked as a data
scientist at Comcast in Philadelphia on their audience insight team. Murray currently resides in Atlanta and works in
IgnitionOne’s midtown office.

More Related Content

Viewers also liked

LR Уход за телом
LR Уход за телом LR Уход за телом
LR Уход за телом
t575ae
 
Shapes of Bones
Shapes of BonesShapes of Bones
Shapes of BonesLen Lapore
 
Traumatic brain injury
Traumatic brain injuryTraumatic brain injury
Traumatic brain injurycaitjoh
 
Ljudkort
LjudkortLjudkort
Ljudkort
pakman123
 
LEVICK Weekly - Sept 7 2012
LEVICK Weekly - Sept 7 2012LEVICK Weekly - Sept 7 2012
LEVICK Weekly - Sept 7 2012
LEVICK
 
A Night Owl Seeking Balance.
A Night Owl Seeking Balance.A Night Owl Seeking Balance.
A Night Owl Seeking Balance.
kellyquince
 
Affordable Homes gurgaon
Affordable Homes gurgaonAffordable Homes gurgaon
Affordable Homes gurgaon
shagungoel87
 
Webinar 2013 10-23-premessa
Webinar 2013 10-23-premessaWebinar 2013 10-23-premessa
Webinar 2013 10-23-premessa
smespire
 
Teaser Trailer Analysis
Teaser Trailer AnalysisTeaser Trailer Analysis
Teaser Trailer Analysis
smdoyle
 
Porody sobak
Porody sobakPorody sobak
Porody sobakIvakina
 
AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013
AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013
AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013
Redbourn Business Systems
 
Royalties & Audits
Royalties & AuditsRoyalties & Audits
Royalties & Audits
Insight Licensing Services
 
презентация театральна скринька
презентация театральна скринькапрезентация театральна скринька
презентация театральна скринькаdnz234
 
INSPIRED Magazine Vol 02 Issue 04
INSPIRED Magazine Vol 02 Issue 04INSPIRED Magazine Vol 02 Issue 04
INSPIRED Magazine Vol 02 Issue 04
Amy Bensema
 
Profiles in Drupal - Drupal Day Aveiro
Profiles in Drupal - Drupal Day AveiroProfiles in Drupal - Drupal Day Aveiro
Profiles in Drupal - Drupal Day Aveiro
Marzee Labs
 
Portafolio clau (1)
Portafolio clau (1)Portafolio clau (1)
Portafolio clau (1)
Claudia Paredes
 
Webinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istat
Webinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istatWebinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istat
Webinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istat
smespire
 

Viewers also liked (20)

LR Уход за телом
LR Уход за телом LR Уход за телом
LR Уход за телом
 
Shapes of Bones
Shapes of BonesShapes of Bones
Shapes of Bones
 
Traumatic brain injury
Traumatic brain injuryTraumatic brain injury
Traumatic brain injury
 
Isus
IsusIsus
Isus
 
Ljudkort
LjudkortLjudkort
Ljudkort
 
LEVICK Weekly - Sept 7 2012
LEVICK Weekly - Sept 7 2012LEVICK Weekly - Sept 7 2012
LEVICK Weekly - Sept 7 2012
 
A Night Owl Seeking Balance.
A Night Owl Seeking Balance.A Night Owl Seeking Balance.
A Night Owl Seeking Balance.
 
Affordable Homes gurgaon
Affordable Homes gurgaonAffordable Homes gurgaon
Affordable Homes gurgaon
 
Webinar 2013 10-23-premessa
Webinar 2013 10-23-premessaWebinar 2013 10-23-premessa
Webinar 2013 10-23-premessa
 
Teaser Trailer Analysis
Teaser Trailer AnalysisTeaser Trailer Analysis
Teaser Trailer Analysis
 
Porody sobak
Porody sobakPorody sobak
Porody sobak
 
AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013
AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013
AdvantageNFP Fundraiser Wealth Screening & Intelligence - AAA Conference 2013
 
Royalties & Audits
Royalties & AuditsRoyalties & Audits
Royalties & Audits
 
презентация театральна скринька
презентация театральна скринькапрезентация театральна скринька
презентация театральна скринька
 
Si spersonalizzante
Si spersonalizzanteSi spersonalizzante
Si spersonalizzante
 
INSPIRED Magazine Vol 02 Issue 04
INSPIRED Magazine Vol 02 Issue 04INSPIRED Magazine Vol 02 Issue 04
INSPIRED Magazine Vol 02 Issue 04
 
Profiles in Drupal - Drupal Day Aveiro
Profiles in Drupal - Drupal Day AveiroProfiles in Drupal - Drupal Day Aveiro
Profiles in Drupal - Drupal Day Aveiro
 
Portafolio clau (1)
Portafolio clau (1)Portafolio clau (1)
Portafolio clau (1)
 
Assignment 1
Assignment 1Assignment 1
Assignment 1
 
Webinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istat
Webinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istatWebinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istat
Webinar 20131121 fabio_vinci_esempio_di_mapping_di_dati_istat
 

Similar to Panel Discussion – Grooming Data Scientists for Today and for Tomorrow

Christ PPT Template.pptx
Christ PPT Template.pptxChrist PPT Template.pptx
Christ PPT Template.pptx
SivaCheralathan
 
Agent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data EnvironmentAgent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data Environment
Laurie Smith
 
The Emerging Role of Data Scientists on Software Developmen.docx
The Emerging Role of Data Scientists  on Software Developmen.docxThe Emerging Role of Data Scientists  on Software Developmen.docx
The Emerging Role of Data Scientists on Software Developmen.docx
arnoldmeredith47041
 
The Emerging Role of Data Scientists on Software Developmen.docx
The Emerging Role of Data Scientists  on Software Developmen.docxThe Emerging Role of Data Scientists  on Software Developmen.docx
The Emerging Role of Data Scientists on Software Developmen.docx
todd701
 
Kurt resume june 28 2015
Kurt resume june 28 2015Kurt resume june 28 2015
Kurt resume june 28 2015KURT NIZIAK
 
Winners of the LinkedIn Economic Graph Challenge
Winners of the LinkedIn Economic Graph ChallengeWinners of the LinkedIn Economic Graph Challenge
Winners of the LinkedIn Economic Graph Challenge
LinkedIn
 
Economic Graph Challenge: LinkedIn
Economic Graph Challenge: LinkedInEconomic Graph Challenge: LinkedIn
Economic Graph Challenge: LinkedIn
Justine Sasaki
 
ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?
ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?
ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?
Mirko Petrelli
 
DDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docx
DDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docxDDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docx
DDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docx
edwardmarivel
 
Steven cosgrove short resume 2017
Steven cosgrove short resume 2017Steven cosgrove short resume 2017
Steven cosgrove short resume 2017
Steven Cosgrove, Ph.D.
 
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service ExperiencesRDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
ASIS&T
 
Data Science & Big Data Analytics Discovering, Analyzing
Data Science & Big Data Analytics Discovering, AnalyzingData Science & Big Data Analytics Discovering, Analyzing
Data Science & Big Data Analytics Discovering, Analyzing
OllieShoresna
 
Project Management Skills.pdf
Project Management Skills.pdfProject Management Skills.pdf
Project Management Skills.pdf
Mostafahosny39
 
University of Virginia School of Data Science
University of Virginia School of Data ScienceUniversity of Virginia School of Data Science
University of Virginia School of Data Science
Philip Bourne
 
Data Science & Big Data Analytics Discovering, Analyzing.docx
Data Science & Big Data Analytics Discovering, Analyzing.docxData Science & Big Data Analytics Discovering, Analyzing.docx
Data Science & Big Data Analytics Discovering, Analyzing.docx
theodorelove43763
 

Similar to Panel Discussion – Grooming Data Scientists for Today and for Tomorrow (20)

Saucier_Jonathon_Resume
Saucier_Jonathon_ResumeSaucier_Jonathon_Resume
Saucier_Jonathon_Resume
 
Chennupati, Rishitha Resume
Chennupati, Rishitha ResumeChennupati, Rishitha Resume
Chennupati, Rishitha Resume
 
Chennupati, Rishitha Resume
Chennupati, Rishitha ResumeChennupati, Rishitha Resume
Chennupati, Rishitha Resume
 
Beca
BecaBeca
Beca
 
Christ PPT Template.pptx
Christ PPT Template.pptxChrist PPT Template.pptx
Christ PPT Template.pptx
 
Agent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data EnvironmentAgent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data Environment
 
The Emerging Role of Data Scientists on Software Developmen.docx
The Emerging Role of Data Scientists  on Software Developmen.docxThe Emerging Role of Data Scientists  on Software Developmen.docx
The Emerging Role of Data Scientists on Software Developmen.docx
 
The Emerging Role of Data Scientists on Software Developmen.docx
The Emerging Role of Data Scientists  on Software Developmen.docxThe Emerging Role of Data Scientists  on Software Developmen.docx
The Emerging Role of Data Scientists on Software Developmen.docx
 
Kurt resume june 28 2015
Kurt resume june 28 2015Kurt resume june 28 2015
Kurt resume june 28 2015
 
Winners of the LinkedIn Economic Graph Challenge
Winners of the LinkedIn Economic Graph ChallengeWinners of the LinkedIn Economic Graph Challenge
Winners of the LinkedIn Economic Graph Challenge
 
Economic Graph Challenge: LinkedIn
Economic Graph Challenge: LinkedInEconomic Graph Challenge: LinkedIn
Economic Graph Challenge: LinkedIn
 
ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?
ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?
ARE BIG DATA AND SOCIAL MEDIA BRINGING DISRUPTION TO HUMAN RESOURCES PRACTICES?
 
DDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docx
DDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docxDDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docx
DDBA 8307 Week 4 Assignment TemplateJohn DoeDDBA 8.docx
 
Steven cosgrove short resume 2017
Steven cosgrove short resume 2017Steven cosgrove short resume 2017
Steven cosgrove short resume 2017
 
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service ExperiencesRDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
 
Data Science & Big Data Analytics Discovering, Analyzing
Data Science & Big Data Analytics Discovering, AnalyzingData Science & Big Data Analytics Discovering, Analyzing
Data Science & Big Data Analytics Discovering, Analyzing
 
A Dan Root, Talent Acquisition 2015
A Dan Root, Talent Acquisition 2015A Dan Root, Talent Acquisition 2015
A Dan Root, Talent Acquisition 2015
 
Project Management Skills.pdf
Project Management Skills.pdfProject Management Skills.pdf
Project Management Skills.pdf
 
University of Virginia School of Data Science
University of Virginia School of Data ScienceUniversity of Virginia School of Data Science
University of Virginia School of Data Science
 
Data Science & Big Data Analytics Discovering, Analyzing.docx
Data Science & Big Data Analytics Discovering, Analyzing.docxData Science & Big Data Analytics Discovering, Analyzing.docx
Data Science & Big Data Analytics Discovering, Analyzing.docx
 

More from HPCC Systems

Natural Language to SQL Query conversion using Machine Learning Techniques on...
Natural Language to SQL Query conversion using Machine Learning Techniques on...Natural Language to SQL Query conversion using Machine Learning Techniques on...
Natural Language to SQL Query conversion using Machine Learning Techniques on...
HPCC Systems
 
Improving Efficiency of Machine Learning Algorithms using HPCC Systems
Improving Efficiency of Machine Learning Algorithms using HPCC SystemsImproving Efficiency of Machine Learning Algorithms using HPCC Systems
Improving Efficiency of Machine Learning Algorithms using HPCC Systems
HPCC Systems
 
Towards Trustable AI for Complex Systems
Towards Trustable AI for Complex SystemsTowards Trustable AI for Complex Systems
Towards Trustable AI for Complex Systems
HPCC Systems
 
Welcome
WelcomeWelcome
Welcome
HPCC Systems
 
Closing / Adjourn
Closing / Adjourn Closing / Adjourn
Closing / Adjourn
HPCC Systems
 
Community Website: Virtual Ribbon Cutting
Community Website: Virtual Ribbon CuttingCommunity Website: Virtual Ribbon Cutting
Community Website: Virtual Ribbon Cutting
HPCC Systems
 
Path to 8.0
Path to 8.0 Path to 8.0
Path to 8.0
HPCC Systems
 
Release Cycle Changes
Release Cycle ChangesRelease Cycle Changes
Release Cycle Changes
HPCC Systems
 
Geohashing with Uber’s H3 Geospatial Index
Geohashing with Uber’s H3 Geospatial Index Geohashing with Uber’s H3 Geospatial Index
Geohashing with Uber’s H3 Geospatial Index
HPCC Systems
 
Advancements in HPCC Systems Machine Learning
Advancements in HPCC Systems Machine LearningAdvancements in HPCC Systems Machine Learning
Advancements in HPCC Systems Machine Learning
HPCC Systems
 
Docker Support
Docker Support Docker Support
Docker Support
HPCC Systems
 
Expanding HPCC Systems Deep Neural Network Capabilities
Expanding HPCC Systems Deep Neural Network CapabilitiesExpanding HPCC Systems Deep Neural Network Capabilities
Expanding HPCC Systems Deep Neural Network Capabilities
HPCC Systems
 
Leveraging Intra-Node Parallelization in HPCC Systems
Leveraging Intra-Node Parallelization in HPCC SystemsLeveraging Intra-Node Parallelization in HPCC Systems
Leveraging Intra-Node Parallelization in HPCC Systems
HPCC Systems
 
DataPatterns - Profiling in ECL Watch
DataPatterns - Profiling in ECL Watch DataPatterns - Profiling in ECL Watch
DataPatterns - Profiling in ECL Watch
HPCC Systems
 
Leveraging the Spark-HPCC Ecosystem
Leveraging the Spark-HPCC Ecosystem Leveraging the Spark-HPCC Ecosystem
Leveraging the Spark-HPCC Ecosystem
HPCC Systems
 
Work Unit Analysis Tool
Work Unit Analysis ToolWork Unit Analysis Tool
Work Unit Analysis Tool
HPCC Systems
 
Community Award Ceremony
Community Award Ceremony Community Award Ceremony
Community Award Ceremony
HPCC Systems
 
Dapper Tool - A Bundle to Make your ECL Neater
Dapper Tool - A Bundle to Make your ECL NeaterDapper Tool - A Bundle to Make your ECL Neater
Dapper Tool - A Bundle to Make your ECL Neater
HPCC Systems
 
A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...
A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...
A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...
HPCC Systems
 
Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...
Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...
Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...
HPCC Systems
 

More from HPCC Systems (20)

Natural Language to SQL Query conversion using Machine Learning Techniques on...
Natural Language to SQL Query conversion using Machine Learning Techniques on...Natural Language to SQL Query conversion using Machine Learning Techniques on...
Natural Language to SQL Query conversion using Machine Learning Techniques on...
 
Improving Efficiency of Machine Learning Algorithms using HPCC Systems
Improving Efficiency of Machine Learning Algorithms using HPCC SystemsImproving Efficiency of Machine Learning Algorithms using HPCC Systems
Improving Efficiency of Machine Learning Algorithms using HPCC Systems
 
Towards Trustable AI for Complex Systems
Towards Trustable AI for Complex SystemsTowards Trustable AI for Complex Systems
Towards Trustable AI for Complex Systems
 
Welcome
WelcomeWelcome
Welcome
 
Closing / Adjourn
Closing / Adjourn Closing / Adjourn
Closing / Adjourn
 
Community Website: Virtual Ribbon Cutting
Community Website: Virtual Ribbon CuttingCommunity Website: Virtual Ribbon Cutting
Community Website: Virtual Ribbon Cutting
 
Path to 8.0
Path to 8.0 Path to 8.0
Path to 8.0
 
Release Cycle Changes
Release Cycle ChangesRelease Cycle Changes
Release Cycle Changes
 
Geohashing with Uber’s H3 Geospatial Index
Geohashing with Uber’s H3 Geospatial Index Geohashing with Uber’s H3 Geospatial Index
Geohashing with Uber’s H3 Geospatial Index
 
Advancements in HPCC Systems Machine Learning
Advancements in HPCC Systems Machine LearningAdvancements in HPCC Systems Machine Learning
Advancements in HPCC Systems Machine Learning
 
Docker Support
Docker Support Docker Support
Docker Support
 
Expanding HPCC Systems Deep Neural Network Capabilities
Expanding HPCC Systems Deep Neural Network CapabilitiesExpanding HPCC Systems Deep Neural Network Capabilities
Expanding HPCC Systems Deep Neural Network Capabilities
 
Leveraging Intra-Node Parallelization in HPCC Systems
Leveraging Intra-Node Parallelization in HPCC SystemsLeveraging Intra-Node Parallelization in HPCC Systems
Leveraging Intra-Node Parallelization in HPCC Systems
 
DataPatterns - Profiling in ECL Watch
DataPatterns - Profiling in ECL Watch DataPatterns - Profiling in ECL Watch
DataPatterns - Profiling in ECL Watch
 
Leveraging the Spark-HPCC Ecosystem
Leveraging the Spark-HPCC Ecosystem Leveraging the Spark-HPCC Ecosystem
Leveraging the Spark-HPCC Ecosystem
 
Work Unit Analysis Tool
Work Unit Analysis ToolWork Unit Analysis Tool
Work Unit Analysis Tool
 
Community Award Ceremony
Community Award Ceremony Community Award Ceremony
Community Award Ceremony
 
Dapper Tool - A Bundle to Make your ECL Neater
Dapper Tool - A Bundle to Make your ECL NeaterDapper Tool - A Bundle to Make your ECL Neater
Dapper Tool - A Bundle to Make your ECL Neater
 
A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...
A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...
A Success Story of Challenging the Status Quo: Gadget Girls and the Inclusion...
 
Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...
Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...
Beyond the Spectrum – Creating an Environment of Diversity and Empowerment wi...
 

Recently uploaded

社内勉強会資料_LLM Agents                              .
社内勉強会資料_LLM Agents                              .社内勉強会資料_LLM Agents                              .
社内勉強会資料_LLM Agents                              .
NABLAS株式会社
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
MaleehaSheikh2
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
slg6lamcq
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
ukgaet
 
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
ewymefz
 
standardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghhstandardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghh
ArpitMalhotra16
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
ewymefz
 
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdfSample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Linda486226
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
axoqas
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
TravisMalana
 
1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx
1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx
1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx
Tiktokethiodaily
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Boston Institute of Analytics
 
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape ReportSOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
enxupq
 

Recently uploaded (20)

社内勉強会資料_LLM Agents                              .
社内勉強会資料_LLM Agents                              .社内勉強会資料_LLM Agents                              .
社内勉強会資料_LLM Agents                              .
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
一比一原版(UVic毕业证)维多利亚大学毕业证成绩单
 
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
 
standardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghhstandardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghh
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
 
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdfSample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
 
1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx
1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx
1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
 
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape ReportSOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape Report
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
 

Panel Discussion – Grooming Data Scientists for Today and for Tomorrow

  • 1. September 29, 2015 Delray Beach, FL Grooming Data Scientists for Today and for Tomorrow Panel Discussion Moderator: Jennifer Priestley Professor, Kennesaw State University Panelists: Jeffrey Feinstein, Sr. Director of Analytic Strategy, LexisNexis Tim Menzies, Professor, North Carolina State University Sri Narasimhan, Professor, Georgia Institute of Technology Jo Prichard, Data Scientist, HPCC Systems Murray Webb, Senior Data Scientist, IgnitionOne Grooming Data Scientists for Today and for Tomorrow September 29, 2:30pm In this session, we will explore the talent gap for data scientists including the potential causes and what academia and the private sector are doing to develop the necessary talent. Will the skills which are in such explosive demand today still be in demand in the future? This panel of professors and practitioners will engage in a conversation about the talent issues facing companies across the country and around the world and what they are doing about it. Moderator Bio: Dr. Priestley is a Professor of Applied Statistics and Data Science at Kennesaw State University where she is the Director of the Center for Statistics and Analytical Services. She oversees the Ph.D. Program in Advanced Analytics and Data Science and teaches courses in Applied Statistics at the undergraduate, Masters and Ph.D. levels. In 2012, the SAS Institute recognized Dr. Priestley as the 2012 Distinguished Statistics Professor of the Year. She served as the 2012 and 2015 Co-Chair of the National Analytics Conference. Dr. Priestley has been a featured speaker at TAG, SAS Analytics, Big Data Week, Data Science ATL, The Atlanta Chief Data Officer Summit, The Atlanta CEO Council and dozens of corporate events addressing issues related to advanced analytics and the challenges and opportunities of “Big Data”. She has authored dozens of articles on Binary Classification, Risk Modeling, Sampling, Applications of Statistical Methodologies for Problem Solving as well as several textbook manuals for Excel, SPSS, SAS and Minitab.
  • 2. Prior to receiving a Ph.D. in Statistics, Dr. Priestley worked in the Financial Services industry for 11 years. Her positions included Vice President of Business Development for VISA EU in London where she was responsible for developing the consumer credit markets for Irish and Scottish banks. She also worked for MasterCard International as a Vice President for Business Development where she was responsible for banking relationships in the Southeastern US. She has also held positions with AT&T Universal Card and Andersen Consulting. Dr. Priestley earned a MBA from The Pennsylvania State University where she was president of the graduate student body and a BS from Georgia Tech. She also earned a certification from the ABA Bankcard School in Norman, OK, a certification in Base SAS Programming, and a Business Analyst certification from the SAS Institute. Panelist Bios: Jeffrey Feinstein, PhD is senior director of analytic strategy and is responsible for developing the LexisNexis® RiskView™ Credit Risk Score. He also leads innovation efforts to bring new analytic solutions and content to the market leveraging LexisNexis data. Before joining LexisNexis in 2010, Jeffrey developed expertise in credit data and scoring during his 14- year tenure at FICO. He was a lead developer for FICO Score and other credit bureau-based scores. He also led the research team that brought the alternative data-driven FICO Expansion Score to market. He has received three U.S. Patents for his innovations in credit modeling. Jeffrey holds an undergraduate degree from SUNY Buffalo and a PhD from Ohio State in Experimental Psychology and Applied Statistics. Tim Menzies (Ph.D., UNSW, 1995) is a full Professor in CS at North Carolina State University where he teaches software engineering and automated software engineering. His research relates to synergies between human and artificial intelligence. He is the author of over 230 referred publications and is one of the 100 most cited authors in software engineering (http://goo.gl/BnFJs). In his career, Dr. Menzies has been a lead researcher on projects for NSF, NIJ, DoD, NASA, USDA, as well as joint research work with private companies. He is an associate editor of IEEE Transactions on Software Engineering, Empirical Software Engineering and the Automated Software Engineering Journal. In 2015, Dr. Menzies will serve as co-chair for the ICSE'15 NIER track. For more information, please see his vita (http://goo.gl/8eNhY), his list of publications (http://scholar.google.com/citations?user=Qmuz0WAAAAAJ) or his home page at http://menzies.us. Sridhar Narasimhan is Co-Director -Business Analytics Center (BAC) and Professor of IT Management, Scheller College of Business. Professor Narasimhan is the founder and first Area Coordinator of the nationally ranked Information Technology Management area. In fall 2010, he served as the Acting Dean and led the College in its successful AACSB Maintenance of Accreditation effort. He served as Senior Associate Dean from 2007 through 2015. He has chaired College’s Reappointment, Promotion and Tenure Committee from 2003-2007. Professor Narasimhan was Co-PI on a grant of over $650,000 in funding (2010-14) to study the FACE project for the US Navy. Together with Professor Saby Mitra, he developed the IT Management Partnership program. He has led various task forces that have revamped the degree programs in the Scheller College of Business. He has developed and has taught the MBA IT Practicum course since 2003 and worked with executives to offer projects from organizations that include: AT&T, Bank of America, Coca-Cola, Coca-Cola Enterprises, InterContinental Hotels, Southern Company, Iron Planet, Microsoft, NCR, HD Supply and Dell SecureWorks. Jo Prichard, Senior Architect, has responsibilities for the core HPCC Systems platform technology at LexisNexis and spearheads large scale graph analytics projects working with Big Data for various industries. His work helps customers
  • 3. target fraud, collusion and other red flag indicates. Previously, Mr. Prichard worked for Topspeed Software R&D in London. Murray Webb is a Data Scientist within the core data science team at IgnitionOne, a software company operating within the advertising space. IgnitionOne supports an integrated search, display, email, mobile and social platform that provides self-service access to users and clients. From these channels, there is a lot of data stored from bid-streams, clickstreams, client in-house data and email data. Within the last 5-10 years, the business landscape has become incredibly digitalized. It is due to this digital revolution that data warehousing systems and analytical technologies have matured into scalable systems that require a skillset that some believe is relatively rare in today’s economy. Murray’s focus on these systems is in effort to build products out of data that was previously too large and contained too much variance to make business sense of. After graduating from Kennesaw State University Masters of Applied Statistics program, Murray worked as a data scientist at Comcast in Philadelphia on their audience insight team. Murray currently resides in Atlanta and works in IgnitionOne’s midtown office.