Full Mega-PAW 7-Track Agenda

Predictive Analytics World

June 16-20, 2019 – Caesars Palace, Las Vegas


This page shows the full 7-track agenda for the five co-located conferences at Mega-PAW. Mega Pass registration is required for full access. To view the agenda for one individual conference, click here: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, or Deep Learning World.

Session Levels:

Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level

Pre-Conference Workshops - Sunday, June 16th, 2019

8:30 am
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm

This one day workshop reviews major big data success stories that have transformed businesses and created new markets. Click workshop title above for the fully detailed description. 

Leader
Marc Smith
Chief Social Scientist
Connected Action Consulting Group
2:00 pm
Pre-Conference Training Workshop

Two and a half hour afternoon workshop:

This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis. Click workshop title above for the fully detailed description.

Leader
Brennan LodgeGoldman Sachs
Data Scientist VP
Goldman Sachs
4:30 pm
End of Pre-Conference Training Workshops
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Pre-Conference Workshops - Monday, June 17th, 2019

8:30 am
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning). Click workshop title above for the fully detailed description.

Leader
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Click workshop title above for the fully detailed description.

Leader
Brennan LodgeGoldman Sachs
Data Scientist VP
Goldman Sachs
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This workshop dives into the key ensemble approaches, including Bagging, Random Forests, and Stochastic Gradient Boosting. Click workshop title above for the fully detailed description.

Leader
Dean AbbottSmarterHQ
Co-Founder and Chief Data Scientist
SmarterHQ
Pre-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This one-day introductory workshop dives deep. You will explore deep neural classification, LSTM time series analysis, convolutional image classification, advanced data clustering, bandit algorithms, and reinforcement learning. Click workshop title above for the fully detailed description.

Leader
James McCaffreyMicrosoft
Senior Scientist Engineer
Microsoft
4:30 pm
End of Pre-Conference Training Workshops
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Day 1 - Tuesday, June 18th, 2019

8:00 am
Registration & Networking Breakfast
Registration & Networking Breakfast
Registration & Networking Breakfast
Registration & Networking Breakfast
Registration & Networking Breakfast
8:45 am
PAW Business
Eric SiegelPredictive Analytics World
Conference Founder
Predictive Analytics World
PAW Financial
Eric SiegelPredictive Analytics World
Conference Founder
Predictive Analytics World
PAW Healthcare
Eric SiegelPredictive Analytics World
Conference Founder
Predictive Analytics World
PAW Industry 4.0
Eric SiegelPredictive Analytics World
Conference Founder
Predictive Analytics World
Deep Learning World
Eric SiegelPredictive Analytics World
Conference Founder
Predictive Analytics World
8:50 am
PAW Business MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Mohammad Shokoohi-YektaApple
Senior Data Scientist
Apple
PAW Financial MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Mohammad Shokoohi-YektaApple
Senior Data Scientist
Apple
PAW Healthcare MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Mohammad Shokoohi-YektaApple
Senior Data Scientist
Apple
PAW Industry 4.0 MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Mohammad Shokoohi-YektaApple
Senior Data Scientist
Apple
Deep Learning World MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Mohammad Shokoohi-YektaApple
Senior Data Scientist
Apple
9:15 am
PAW Business MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Dyann Daley MDPredict Align Prevent
Founder and CEO
Predict-Align-Prevent
PAW Financial MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Dyann Daley MDPredict Align Prevent
Founder and CEO
Predict-Align-Prevent
PAW Healthcare MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Dyann Daley MDPredict Align Prevent
Founder and CEO
Predict-Align-Prevent
PAW Industry 4.0 MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Dyann Daley MDPredict Align Prevent
Founder and CEO
Predict-Align-Prevent
Deep Learning World MEGA-PAW SUPER-PLENARY KEYNOTE
Speaker
Dyann Daley MDPredict Align Prevent
Founder and CEO
Predict-Align-Prevent
9:40 am
PAW Business Sponsored Session:
PAW Financial Sponsored Session
PAW Healthcare Sponsored Session
PAW Industry 4.0 Sponsored Session
Deep Learning World Sponsored Session
10:00 am
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
10:30 am
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Operationalizing analytics
Speaker
James TaylorDecision Management Solutions
CEO
Decision Management Solutions
PAW Business Track 2: TECH - Machine learning methods & advanced topics
Lifetime value
Speaker
Dean AbbottSmarterHQ
Co-Founder and Chief Data Scientist
SmarterHQ
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Airfare prediction
Case Study: Hopper
Speaker
Patrick SurryHopper
Chief Data Scientist
Hopper
PAW Financial
Analytics team building
10:30 am - 10:50 am
Case Study: Manulife
Speaker
Richard LeeManulife
Sr Data Scientist
Manulife
Credit scoring
10:55 am - 11:15 am
Case Study: PriceWaterhouseCoopers
Speaker
Chenyu (Jim) GaoPricewaterhouseCoopers
Advisory Manager, Machine Learning/Artificial Intelligence Accelerator
PricewaterhouseCoopers, LLP
PAW Healthcare
Case Study: Zuckerburg San Francisco General Hospital
Speaker
Cheong AngUniversity of California, San Francisco
Workflow AI Project Lead
University of California, San Francisco
PAW Industry 4.0 KEYNOTE
Case Study: Intel
Speaker
Irene PetrickIntel
Senior Director of Industrial Innovation
Intel Corporation
Deep Learning World KEYNOTE
Speakers
Siddha GanjuNvidia
Solutions Architect
Nvidia
Meher KasamSquare
Software Developer
Square
Anirudh Koulaira
Head of AI & Research
Aira
11:15 am
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
11:20 am
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Operationalizing analytics
11:20 am - 11:40 am
Case Study: Cisco
Speaker
Tina OwenmarkCisco
Data Scientist
Cisco
Project management
11:45 am - 12:05 pm
Case Study: EMPLOYERS
Speaker
Tom WardenEMPLOYERS
SVP, Chief Data and Analytics Officer
EMPLOYERS
PAW Business Track 2: TECH - Machine learning methods & advanced topics
Data preparation
Speaker
William KompSmarterHQ
Senior Data Scientist
SmarterHQ
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Recommedation systems
Case Study: Twitter
Speaker
Ashish BansalTwitter
Senior Engineering Manager
Twitter
PAW Financial
Algorithmic trading
11:20 am -11:40 am
Case Study: Goldman Sachs
Speakers
Andreas PetridesGoldman Sachs
Quantitative Researcher
Goldman Sachs
Michael SteliarosGoldman Sachs
Managing Director
Goldman Sachs
Analytics project management
11:45 am - 12:05 pm
Case Study: Safety National Casualty
Speaker
William WIlkinsSafety National Casualty Corporation
Chief Risk and Data Analytics Officer
Safety National Casualty Corporation
PAW Healthcare
Case Study: Predicting Cardiovascular Disease
Speaker
Erich Wohlhieter Ph.DAmgen
Executive Director, Digital Health & Innovation
Amgen
PAW Industry 4.0
Speaker
Jaya MathewMicrosoft
Senior Data Scientist
Microsoft
Deep Learning World
Case Study: Trimble, Inc.
Speakers
Josh ChapmanTrimble
Data Engineer
Trimble Transportation Mobility
Miles PorterTrimble
Data Scientist
Trimble
Ryan WolbeckTrimble
Data Scientist
Trimble Transportation Mobility
12:05 pm
Lunch
Lunch
Lunch
Lunch
Lunch
1:30 pm
PAW Business KEYNOTE
Speaker
Jennifer Lewis PriestleyKennesaw State University
Professor of Applied Statistics and Data Science
Kennesaw State University
PAW Financial KEYNOTE
Case Study: Northwestern Mutual
Speaker
Dave PahlNorthwestern Mutual
VP - Analytics, Insights, and Data Science
Northwestern Mutual
PAW Healthcare KEYNOTE
Speaker
Louis F Rossiter Ph.DWilliam & Mary School of Business
Professor of Public Policy at the College of William & Mary, former Secretary of Health & Human Resources for the Commonwealth of Virginia, former Deputy for Policy to the Administrator of the Center
College of William & Mary
PAW Industry 4.0
Speaker
Yong SunIsuzu
Supervisor
Isuzu Technical Center of America
Deep Learning World
Case Study: Isuzu Technical Center of America
Speaker
Yong SunIsuzu
Supervisor
Isuzu Technical Center of America
2:15 pm
PAW Business Gold Sponsored Session
PAW Financial Gold Sponsored Session
PAW Healthcare Sponsored Session
PAW Industry 4.0 Sponsored Session
Deep Learning World Gold Sponsored Session
2:35 pm
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
2:40 pm
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Project management
2:40 pm - 3:00 pm
Speaker
Theresa KushnerDell EMC
Formerly Sr Vice President, Performance Analytics Group
Dell EMC
Sourcing analytics staff
3:05 pm - 3:25 pm
Speaker
Anne G. RobinsonKinaxis
Chief Strategy Officer
Kinaxis
PAW Business Track 2: TECH - Machine learning methods & advanced topics
Active learning
Speaker
Jennifer PrendkiAtlassian
VP of Machine Learning
Figure Eight
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Sales analytics; deployment
Case Study: Southwest Airlines
Speakers
Bill Hoffman
Chief Growth Officer & Employee Practice Leader
Elicit, LLC
Padrum PanbechiSouthwest Airlines
Sales Analytics Lead
Southwest Airlines
Nick PylypiwElicit
Data Science Manager
Elicit, LLC
PAW Financial
Compliance risk management
Case Study: Bank of America Merrill Lynch
Speaker
Bhakthi LiyangeBank of America Merill Lynch
VP, Data Science Lead
Bank of America Merill Lynch
PAW Healthcare
Case Study: Breaking Down the Models
Speaker
Cal ZemelmanCVP
Director, Lead Data Scientist
CVP
PAW Industry 4.0
Deep Learning World
Case Study: Adobe
Speaker
Steve HoegAdobe Systems
Director of Engineering
Adobe
3:25 pm
Exhibits & Afternoon Break
Exhibits & Afternoon Break
Exhibits & Afternoon Break
Exhibits & Afternoon Break
Exhibits & Afternoon Break
3:55 pm
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Strategic analytics
3:55 pm - 4:15 pm
Case Study: Humana Military
Speaker
Lily Quinto-BantonHumana
Lead Data Scientist
Humana Military
Cross-enterprise adoption
4:20 pm - 4:40 pm
Case Study: Caesers
Speaker
Josh FrankCaesars Entertainment
Vice President-Gaming Data Science & Fraud Analytics
Caesars Entertainment
PAW Business Track 2: TECH - Machine learning methods & advanced topics
Workforce analytics
Speakers
Haig NalbantianMercer
Senior Partner, Co-leader Mercer Workforce Sciences Institute
Mercer
Tauseef RahmanMercer
Principal, Workforce Strategy & Analytics
Mercer
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Marketing analytics
Case Study: Overstock.com
Speakers
Michael FingerOverstock
Software Architect, Marketing
Overstock.com
Chris RobisonOverstock
Director of Data and Audience
Overstock.com
PAW Financial
Machine learning methods
Speaker
Mei Najim
CSPA, Founder and Lead Data Scientist
Advanced Analytics Consulting Services, LLC
PAW Healthcare
Speakers
Sara Golas
Senior Data Specialist
Partners HealthCare Pivot Labs
Jorn op den BuijsPhilips Research
Senior Scientist
Philips Research
PAW Industry 4.0
Case study: Eaton
3:55 pm - 4:15 pm
Speakers
Steve MillerEaton
Vice President, Controls and Protection Division
Eaton
Lyle SprinkleEaton
Director: Meters, Relays & IoT Solutions
Eaton
Deep Learning World
Case Study: Bank of America Merill Lynch
Speaker
Bhakthi LiyangeBank of America Merill Lynch
VP, Data Science Lead
Bank of America Merill Lynch
4:40 pm
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
4:45 pm
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Cross-enterprise adoption
4:45 pm - 5:05 pm
Case Study: Pacific Life
Speaker
Robert M. HorrobinPacific Life
AVP of Advanced Analytics and Planning, Retirement Solutions Division
Pacific Life
Project management
5:10 pm - 5:30 pm
Speaker
Leslie Barrett
Senior Software Engineer
Bloomberg LP
PAW Business Track 2: TECH - Machine learning methods & advanced topics
Social science analytics
4:45 pm - 5:05 pm
Speaker
Peter LenzDstillery
Senior Geospatial Analyst
Dstillery
Best Practices
5:10 pm - 5:30 pm
Speakers
Dean AbbottSmarterHQ
Co-Founder and Chief Data Scientist
SmarterHQ
Karl RexerRexer Analytics
President
Rexer Analytics
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Marketing analytics
4:45 pm - 5:05 pm
Speaker
Alwin Haensel, Ph.D.Haensel AMS
CEO & Founder
Haensel AMS
Cross-industry case studies
5:10 pm - 5:30 pm
Speaker
Steven RamirezBeyond the Arc
CEO
Beyond the Arc
PAW Financial
Advanced methods; forecasting; credit scoring
Case Study: Pacific Life
Speaker
Olaf MenzerPacific Life
Senior Data Scientist, Decision Analytics
Pacific Life
PAW Healthcare
Case Study: AI for Anomaly Detection
Speaker
Jonathan WoodringIPM.ai
Senior VP & General Manager
IPM.ai
PAW Industry 4.0
Case study: Optoro
4:45 pm - 5:05 pm
Speaker
Vanessa LamOptoro
Manager, Business Intelligence
Optoro
Deep Learning World
4:45 pm - 5:05 pm
Case Study: Reinsurance Group of America (RGA)
Speaker
Jeff HeatonRGA
VP, Data Scientist
Reinsurance Group of America
5:10 pm - 5:30 pm
Speaker
Arnab ChakrabartiHitachi America
Senior Research Scientist
Hitachi America, Ltd.
5:05 pm
 
 
 
 
 
 
 
5:30 pm
Networking Reception
Networking Reception
Networking Reception
Networking Reception
Networking Reception
7:00 pm
End of first Conference Day
End of first Conference Day
End of first Conference Day
End of first Conference Day
End of first Conference Day
Day 2 - Wednesday, June 19th, 2019

8:00 am
Registration & Networking Breakfast
Registration & Networking Breakfast
Registration & Networking Breakfast
Registration & Networking Breakfast
Registration & Networking Breakfast
8:45 am
PAW Business
Yoram Bauman
The world's first and only stand-up economist
PAW Financial
Mei Najim
CSPA, Founder and Lead Data Scientist
Advanced Analytics Consulting Services, LLC
PAW Healthcare
Jeff DealElder Research
Vice President of Operations
Elder Research
 
8:55 am
PAW Business KEYNOTE
Speaker
Mark ShaferWalt Disney Company
Senior Vice President Revenue Management and Analytics
Walt Disney Company
PAW Financial KEYNOTE
Claims processing
Case Study: ESIS
Speaker
Keith HigdonESIS
President
ESIS
PAW Healthcare
PAW Industry 4.0 KEYNOTE
Case study: UPS
Speaker
Jack LevisUPS
Senior Director, Process Management
UPS
Deep Learning World KEYNOTE
Speaker
Armin KappelerVerizon
Sr. Research Engineer
Verizon Media Group
9:40 am
PAW Business Sponsored Session
PAW Financial Sponsored Session
PAW Healthcare Sponsored Session
PAW Industry 4.0 Sponsored Session
Deep Learning World Sponsored Session
10:05 am
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Ethics
10:05 am - 10:25 am
Speaker
Bill FranksInternational Institute For Analytics
Chief Analytics Officer
International Institute For Analytics
Legal ramifications of HR analytics
10:30 am - 10:50 am
Case Study: Jackson Lewis (law firm)
Speaker
Eric J. FelsbergJackson Lewis P.C.
Principal, Long Island Office
Jackson Lewis P.C.
PAW Business Track 2: DATA - Data Strategies & data prep
Data strategies
10:05 am - 10:25 am
Case Study: Nike, Infinity
Speaker
Lawrence CowanCicero Group
Senior Partner & COO
Cicero Group
Third-party data selection; email marketing analytics
10:30 am - 10:50 am
Case Study: A large insurance company​
Speaker
Dan Sarkar
Director of Data Science
Insight Que Solutions
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Political campaign analytics
Speaker
Daniel Porter
Co-Founder
BlueLabs
PAW Financial
Model interpretability
Case Study: Paychex
Speaker
Rob RollestonPaychex
Manager, Data Science
Paychex
PAW Healthcare
Deep Learning World
Speaker
Martin GornerGoogle
Developer Relations
Google
10:50 am
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
Exhibits & Morning Coffee Break
11:20 am
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Professional services; project management
11:20 am - 11:40 am
Case Study: Wells Fargo
Speaker
Nathan SusanjWells Fargo
Vice President, Data Science Manager
Wells Fargo
Predictive analytics management
11:45 am - 12:05 pm
Speaker
Bob BressComcast Cable
Vice President of Analytics & Business Intelligence
Freewheel, A Comcast Company
PAW Business Track 2: DATA - Data Strategies & data prep
Data preparation
Case Study: Western Seminary (student retention)
Speaker
Bob NisbetUniversity of California, Irvine Extension
Instructor
University of California, Irvine
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Restaurant analytics; cross-organizational data sharing
11:20 am - 11:40 am
Case Study: Stacked Restaurants
Speaker
Brian PearsonStacked Restaurants
CIO
Stacked Restaurants
Legal applications
11:45 am - 12:05 pm
Speaker
Jonathan KleinEx Parte
Founder & CEO
Ex Parte
PAW Financial
Model interpretability
Case Study: Experian
Speaker
Brian DukeExperian
Data Modeling Director
Experian
PAW Healthcare
Speaker
Ken Yale, JD, DDS
Instructor
University of California - Irvine
PAW Industry 4.0 KEYNOTE
Case study: GM
Speaker
Robert WelbornGeneral Motors - GM
Head of Data Science, Connected Car
General Motors
Deep Learning World
Speakers
Polina Mamoshina
Senior Research Scientist
Insilico Medicine
Alex Zhavoronkov
CEO
Insilico Medicine
12:05 pm
Lunch
Lunch
Lunch
Lunch
Lunch
1:10 pm
PAW Business Special plenary session:
Speaker
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
PAW Financial Expert Panel:
Moderator
Mei Najim
CSPA, Founder and Lead Data Scientist
Advanced Analytics Consulting Services, LLC
PAW Healthcare Expert Panel
PAW Industry 4.0 Special plenary session
Panelist
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
Deep Learning World
Case Study: Uber AI
Speaker
Chandra KhatriUber
Senior AI Scientist
Uber AI
2:00 pm
PAW Business Sponsored Session
PAW Financial Sponsored Session
PAW Healthcare Sponsored Session
PAW Industry 4.0 Sponsored Session
Deep Learning World Sponsored Session
2:10 pm
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
2:15 pm
PAW Financial
Model integration and deployment
2:15 pm - 2:35 pm
Case Study: Gallagher Bassett
Speakers
Gary AnderbergGallagher Bassett
SVP of Claim Analytics Product Management
Gallagher Bassett
Theodore ZitonGallagher Bassett
Vice President - Risk Analytics
Gallagher Bassett
Analytics start-ups; insurance applications
2:40 pm - 3:00 pm
Case Study: MotionAuto
Speaker
Robert LakeMotionAuto
Senior Manager, Data Science
MotionAuto
PAW Healthcare
Case Study: Answering One of the Big Questions
Speaker
Jeff HeatonRGA
VP, Data Scientist
Reinsurance Group of America
PAW Industry 4.0
Moderator
James TaylorDecision Management Solutions
CEO
Decision Management Solutions
Deep Learning World
Case Study: Microsoft
Speaker
Anand OkaMicrosoft
Principal Program Manager Lead
Microsoft
3:00 pm
Exhibits & Afternoon Break
Exhibits & Afternoon Break
Exhibits & Afternoon Break
Exhibits & Afternoon Break
Exhibits & Afternoon Break
3:30 pm
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Training your analytics team
3:30 pm - 3:50 pm
Case Study: LinkedIn
Speaker
Steve WeissLinkedIn
Content Manager, Data Science and Business Analytics
LinkedIn
Analytics team building
3:55 pm - 4:15 pm
Case Study: Facebook
Speaker
Nav KesherFacebook
Head of Data Sciences, Facebook Marketplace Experience
Facebook
PAW Business Track 2: DEPLOYMENT - Predictive model deployment & integration
Deployment and integration
3:30 pm - 3:50 pm
Case Study: BB&T
Speaker
Alexander MoyBB&T
AVP, Enterprise Analytics & Data Science
BB&T
Deployment and model management
3:55 pm - 4:15 pm
Case Study: Canada Post
Speaker
Allan SammyCanada Post
Director, Data Science and Audit Analytics
Canada Post
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Entertainment industry applications
Case Study: Sony Pictures
Speaker
Timothy ParkSony Pictures Entertainment
Director Data Management
Sony Pictures Entertainment
PAW Financial
Fraud detection
3:30 pm - 3:50 pm
Case Study: Enova
Speaker
Joe DeCosmoEnova International
Chief Analytics Officer
Enova International
Lifetime value modeling
3:55 pm - 4:15 pm
Case Study: Institute of Consumer Money Management
Speaker
Zeydy Ortiz
CEO
DataCrunch Lab
PAW Healthcare
3:30 pm - 3:50 pm
Speakers
Casey GentryAcxiom
Senior Manager Engineering/Analytics
Acxiom
Jamie NethertonAcxiom
Senior Analyst
Acxiom
3:55 pm - 4:15 pm
Case Study: Significant Event Reduction
Speaker
Michael MonteithThoughtWire
Chief Executive Officer & Co-Founder
ThoughtWire
PAW Industry 4.0
Case study: Vistra Energy
Speaker
Greg StevensVistra Energy
Manager, Advanced Analytics
Vistra Energy
Deep Learning World 3:30 pm - 3:50 pm
Case Study: Collective Sense
Speaker
Przemek Maciołek, PhD
VP of Research & Development
Collective Sense
3:55 pm - 4:15pm
Case Study: BMO Financial Group
Speaker
Alex GlushkovskyBMO Financial Group
Principal Data Scientist
BMO Financial Group
4:15 pm
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
5-minute transition between sessions
4:20 pm
PAW Business Track 1: BUSINESS - Analytics operationalization & management
Analytics team building
4:20 pm - 4:40 pm
Speaker
Shingai ManjengwaFireside Analytics
Chief Executive Officer
Fireside Analytics Inc.
Analytics team building
4:45 pm - 5:05 pm
Speaker
Vishal KumarAnalytics Week
CEO
Analytics Week
PAW Business Track 2: DEPLOYMENT - Predictive model deployment & integration
Model Deployment
4:20 pm - 4:40 pm
Speaker
Robert Grossman
Managing Partner
Analytic Strategy Partners LLC
Model robustness
4:45 pm - 5:05 pm
Speaker
Stephen ChenLeo Burnett
Director of Strategic Analytics
Leo Burnett
PAW Business Track 3: CASE STUDIES - Cross-industry business applications of machine learning
Marketing analytics
Case Study: UBM (events industry)
Speaker
Dave Chan
Vice President, Digital Innovation & Business Intelligence
Informa / UBM
PAW Financial
Text analytics; sentiment analysis
4:20 pm - 4:40 pm
Case Study: Citigroup
Speaker
Yulin Ningciti
Senior Director in Global Decision Management
Citigroup
Insurance applications
4:45 pm - 5:05 pm
Speaker
Munish AroraCalifornia State Compensation Insurance Fund
Senior Director
California State Compensation Insurance Fund
PAW Healthcare
Speakers
Chip Hart
Physician’s Computer Company
Karl RexerRexer Analytics
President
Rexer Analytics
PAW Industry 4.0 4:20 pm - 4:40 pm
Speaker
Richard BoireEnvironics Analytics
Senior Vice President
Environics Analytics
Deep Learning World 4:20 pm - 4:40 pm
Speaker
Kunling GengDecision Engines Inc.
Lead Data Scientist & AI Architect
Decision Engines Inc.
4:45 pm - 5:05 pm
Speaker
Luming Wang
Head of Data
Millennium Management
5:05 pm
End of second Conference Day
End of second Conference Day
End of second Conference Day
End of second Conference Day
End of second Conference Day
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Post-Conference Workshops - Thursday, June 20th, 2019

8:30 am
Post-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models. Click workshop title above for the fully detailed description.

Leader
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
Post-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists. Click workshop title above for the fully detailed description.

Leader
James Casaletto
Senior Solutions Architect
MapR Technologies
Post-Conference Training Workshop

Full-day: 8:30am – 4:30pm:

During this workshop, you will gain hands-on experience deploying deep learning on Google’s TPUs (Tensor Processing Units) – held the day immediately after the Deep Learning World and Predictive Analytics World two-day conferences. Click workshop title above for the fully detailed description.

Leader
Martin GornerGoogle
Developer Relations
Google
4:30 pm
End of Post-Conference Training Workshops
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