Machine Learning Week Las Vegas 2020
Join us in Las Vegas for Machine Learning Week 2020 (formerly Mega-PAW), our largest event to date, with eight tracks of sessions covering the commercial deployment of machine learning. Register to attend one or more of MLW’s five co-located conferences: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World.
Cross-register for up to Five Conferences at Machine Learning Week 2020
Predictive Analytics World Business
Predictive Analytics World for Business focuses on concrete examples of deployed predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy machine learning, and the kind of business results they achieve.
Predictive Analytics World Financial
Predictive Analytics World for Financial Services is the leading data science event covering the deployment of machine learning by banks, insurance companies, credit card companies, investment firms, and other financial institutions.
Predictive Analytics World Healthcare The PAW Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how data science and machine learning are employed at leading enterprises, resulting in improved outcomes, lower costs, and higher patient satisfaction.
Predictive Analytics World Industry 4.0
Predictive Analytics World for Industry 4.0 is the leading vendor-neutral conference for machine learning for smart manufacturing and IoT. Data scientists, industrial planners, and other machine learning experts will meet in Las Vegas on June 16-20, 2019 to explore the latest trends and technologies in machine & deep learning for the IoT era.
Deep Learning World
Deep Learning World is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods. DLW is co-located alongside four established industry Predictive Analytics World events — PAW Business, PAW Financial, PAW Healthcare, and PAW Industry 4.0 — as part of Machine Learning Week.
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Speakers
Shams Zaman
Principal Data Scientist, Verizon
Said Soulhi
Distinguished Member of the Technical Staff, Verizon
Nikolay Sorokin
Data Scientist, REI Systems
Mohamed Sidahmed
Machine Learning and AI Manager, Shell Oil Company
Shweta Shrivastava
Chief Product Officer, Nauto
Patrick Miller
Software Engineering Manager, Google
James McCaffrey
Senior Scientist Engineer, Microsoft
Kumaresan Manickavelu
Sr. Product Manager, NLP, eBay
Bryan Larish Ph.D
Director of Technology, Verizon
Manoj Kumar Krishnan
Software Engineer and Tech Lead, Facebook
Navid Imani
Applied Researcher, eBay
Drew Hodun
Machine Learning Specialist - Google Cloud, Google
Sean Hendryx
Machine Learning Engineer, Standard Cognition
Vishal Hawa
Principal Scientist, The Vanguard Group
Luba Gloukhova
Consultant & Speaker
Jason Gauci
Engineering Manager, Facebook
Ilke Demir
Senior Research Scientist, DeepScale (a Tesla company)
Justin Chien
Senior Data Scientist, 6sense
Geeta Chauhan
AI Partnerships, Facebook
Piyush Chandra
AI Product Management, Nauto
Anthony Alford
Lead Software Engineer, Genesys
Andy Ramlatchan
Senior Computer Scientist, NASA
Vadim Pinskiy PhD
VP of R&D, Nanotronics
Terry Miller
Global Digital Strategy and Business Development, Siemens
Jaya Mathew
Senior Data Scientist, Microsoft
Andrei Khurshudov
Director, Advanced Analytics, Caterpillar
Rohit Kewalramani
Data Scientist, KPIT Technologies
Samira Golsefid
Principal Data Scientist, PayPal
Martin Elstner
Expert Chemoinformatics, Covestro
Rajagopalan Chandrasekharan
Senior Engineer, GE Global Research
Michael Thompson
Executive Director, Enterprise Data Intelligence, Cedars-Sinai Medical Center
Vickie Rice
Vice President of Innovative Strategies, CareATC, Inc
Fred Rahmanian
Chief Analytics and Technology Officer, Geneia
Matthew Pietrzykowski
Principal Data Scientist, Capital District Physicians’ Health Plan
Zeydy Ortiz
CEO, DataCrunch Lab
Bob Nisbet
Instructor, University of California, Irvine Extension
Michael Golafshar
Statistical Programmer Analyst, Mayo Clinic
Colleen Farrelly
Co-Founder & Chief Scientist, Quantopo LLC
Todd Dewees
Associate Professor of Biostatistics, Radiation Oncology, Mayo Clinic
Jeff Deal
Chief Operating Officer, Elder Research
Kelley Counts
Data Scientist, OneBlood
Daniel Chertok PhD
Sr. Data Scientist, NorthShore University HealthSystem
Yu Chen
Research Advisor, Eli Lilly & Company
William WIlkins
Chief Risk and Data Analytics Officer, Safety National Casualty Corporation
Michael Steliaros
Managing Director, Goldman Sachs
Alex Sanchez
Global Head of Risk Strategy and Analytics, Bloomberg
Andreas Petrides
Quantitative Researcher, Goldman Sachs
Mei Najim
CSPA, Founder and Lead Data Scientist, Advanced Analytics Consulting Services, LLC
Carrie Lu Ph.D
Senior Data Scientist, Safety National Casualty Corporation
Victor Lo
AI and Data Science Center of Excellence Leader, Workplace Investing, Fidelity Investments
Richard Lee
Director of Data Science, US EOIT Advanced Analytics & AI, Manulife
Aric LaBarr
Associate Professor of Analytics, Institute for Advanced Analytics at NC State University
Sravan Kasarla
Chief Data Officer, Thrivent
Abhishek Joshi ‘AJ’
Senior Director, Visa
Connor Jennings Ph.D
Senior Data Scientist, AI Model Development Center of Excellence, Wells Fargo
Keith Higdon
President, ESIS
Bas Geerdink
CTO, Aizonic
Christian Elsasser
Senior Risk Analytics Manager - P&C Analytics, Swiss Re
Chakri Cherukuri
Senior Quantitative Researcher, Bloomberg
Richard Boire
President, Boire Analytics
Jodi Blomberg
Managing Director, Enterprise Analytics, Charles Schwab
Leslie Barrett
Senior Software Engineer, Bloomberg
Naveed Asem
Chief Data and Analytics Officer, Donnelley Financial Solutions
Zulfiqar Ahmed
REI Systems
Halim Abbas
Vice President of Data Science, Cognoa
Allen Yu
Director of AI, Lineate
Piotr Wygocki Ph.D
Co-founder, MIM Solutions
Karl Weinmeister
Developer Advocacy Manager, Google
Emma Vazirabadi
Associate Director of People Insights & HR Analytics, Bristol-Myers Squibb
A Charles Thomas
Chief Data & Analytics Officer, General Motors - GM
James Taylor
CEO, Decision Management Solutions
Dan Steinberg Ph.D
Paul Speaker
Senior Data Scientist, The Dow Chemical Company
Marc Smith
Chief Social Scientist, Connected Action Consulting Group
Michael Simon
Chief of Analytics, CIA
Eric Siegel
Conference Founder, Predictive Analytics World
Allan Sammy
Director, Data Science and Audit Analytics, Canada Post
Karl Rexer
President, Rexer Analytics
Gil Reich
Data Developer, Wix
Jennifer Redmon
Chief Data Evangelist, Cisco
Jennifer Lewis Priestley
Professor of Applied Statistics and Data Science, Kennesaw State University
Satish Prabhu
Data Scientist, Paychex
Kumaran Ponnambalam
Analytics Architect, Cisco
Venkata Pakkala
Staff Data Scientist, Samsung
Haig Nalbantian
Senior Partner, Co-leader Mercer Workforce Sciences Institute, Mercer
Robert Muenchen
Manager of Research Computing Support, University of Tennessee
Reeto Mookherjee
Vice President, Data, Analytics and Business Intelligence, Fandango
Natalia Modjeska
Director, Research, DnA (Data & Analytics), Info-Tech Research Group
Ben Martin Ph.D
Chief Data Analytics Officer, Hanes
Shingai Manjengwa
Chief Executive Officer, Fireside Analytics
Charlie Lewis
Senior Manager, Business Intelligence, MINDBODY
Kristen Kehrer
Founder, Data Moves Me
Cetin Karakus
Global Head of Quant Technology and Analytics Core Strategies, BP
Robert Grossman
Managing Partner, Analytic Strategy Partners LLC
Peter Grabowski
Software Engineering Manager, Google
Enrique Gil Ph.D
Scientist, Philips
Jen Gennai
Head of Responsible Innovation, Global Affairs, Google
Priyanka Gariba
Head of Artificial Intelligence Technical Program Management, LinkedIn
John Gao
Senior Manager, WorkHuman
Michael Galtress
Director, Business Analytics & Insights, Appfolio
Josh Frank
Former Vice President-Gaming Data Science & Fraud Analytics, Caesars Entertainment
Celeste Fralick
Chief Data Scientist, Senior Principal Engineer, McAfee
Jason Feliciano
Associate Director of HR Analytics, Bristol-Myers Squibb
Kevin Feasel
Engineering Manager, Predictive Analytics, ChannelAdvisor
Mohamed Fawzy
Senior Software Engineering Lead - AI Infra, Facebook
Hamza Farooq
Principal Data Scientist, Walmart Labs
John Elder Ph.D
Founder & Chair, Elder Research
Richard Dutton
Head of Machine Learning for Corporate Engineering, Google
Markus Dmytrzak
Director, Advanced Analytics and Decision Sciences, Sam’s Club
Kunal Desai
Director of Product Management, Walmart eCommerce
Antonia de Medinaceli
CEO, Augmented
Mark Cramer
Applied AI Product Management, PARC, a Xerox Company
Clayton Clouse
Senior Data Scientist, FedEx
Clinton Brownley
Data Scientist, WhatsApp
Bob Bress
Vice President of Analytics & Business Intelligence, Comcast Cable
Anasse Bari Ph.D
Clinical Assistant Professor of Computer Science, New York University
Gilad Barash
VP of Analytics, Dstillery
Gil Arditi
Former Product Lead, Machine Learning, Lyft
Haya Ajjan
Associate Professor of MIS, Director of the Center for Organizational Analytics, Elon University
Dean Abbott
Co-Founder and Chief Data Scientist, SmarterHQ
Organizer
