The premier machine learning conference

Las Vegas

 

May 31-June 4, 2020

In 2020, there will be only ONE PAW in the U.S. Join us in Las Vegas for the largest Predictive Analytics World event to date – Machine Learning Week – where the year’s only PAW Business will be held alongside PAW Financial, PAW Healthcare, PAW Industry 4.0, and Deep Learning World.

PAW Business Keynote Speakers

Featured keynote:

A Charles Thomas
A Charles Thomas

Chief Data & Analytics Officer


Keynote Details

Becoming Data Driven in the Automotive Industry
Drawing from his experience as the chief data and analytics officer at three different companies, A. Charles Thomas – now chief data and analytics officer at General Motors – will share insights and lessons learned from both sides of the unique, two-pronged role he plays at GM.

First, Charles’ team leverages analytics to enhance GM’s traditional businesses, such as selling vehicles, OnStar, Warranty, SiriusXM, and others. The team generates insights to drive billion-dollar improvements in functions such as manufacturing, HR, Marketing, and Digital.

Second, Charles’ team also drives revenue from their unique access to tremendous quantities of vehicle data. This includes direct licensing of connected vehicle data (e.g. GPS data to traffic and parking apps, media, retail, and insurance companies), as well as using these data to create new businesses in insurance, fleet management, and others.

In this keynote address to both the PAW Business and PAW Industry 4.0 audiences, Charles will share his unique insider’s vantage.

Keynote Details

Becoming Data Driven in the Automotive Industry
Drawing from his experience as the chief data and analytics officer at three different companies, A. Charles Thomas – now chief data and analytics officer at General Motors – will share insights and lessons learned from both sides of the unique, two-pronged role he plays at GM.

First, Charles’ team leverages analytics to enhance GM’s traditional businesses, such as selling vehicles, OnStar, Warranty, SiriusXM, and others. The team generates insights to drive billion-dollar improvements in functions such as manufacturing, HR, Marketing, and Digital.

Second, Charles’ team also drives revenue from their unique access to tremendous quantities of vehicle data. This includes direct licensing of connected vehicle data (e.g. GPS data to traffic and parking apps, media, retail, and insurance companies), as well as using these data to create new businesses in insurance, fleet management, and others.

In this keynote address to both the PAW Business and PAW Industry 4.0 audiences, Charles will share his unique insider’s vantage.

Gil Arditi
Gil Arditi

Product Lead, Machine Learning


Keynote Details

From Self-Driving to Fraud Detection – How Lyft Streamlines Machine Learning Deployment
In this keynote address, Gil Arditi will cover the areas of machine learning development at Lyft, talk about friction points in the model lifecycle – from prototyping and feature engineering to production deployment – and show how Lyft streamlined this process internally. He will also cover a step-by-step example of a model that was recently developed and taken to production.

Keynote Details

From Self-Driving to Fraud Detection – How Lyft Streamlines Machine Learning Deployment
In this keynote address, Gil Arditi will cover the areas of machine learning development at Lyft, talk about friction points in the model lifecycle – from prototyping and feature engineering to production deployment – and show how Lyft streamlined this process internally. He will also cover a step-by-step example of a model that was recently developed and taken to production.

Jen Gennai
Jen Gennai

Head of Responsible Innovation, Global Affairs


Keynote Details

Putting Ethical Principles into Practice When Deploying Machine Learning
As principles purporting to guide the ethical development of Artificial Intelligence proliferate, there are questions on what they actually mean in practice. How are they interpreted? How are they applied? How can engineers and product managers be expected to grapple with questions that have puzzled philosophers since the dawn of civilization, like how to create more equitable and fair outcomes for everyone, and how to understand the impact on society of tools and technologies that haven’t even been created yet. To help us understand how Google is wrestling with these questions and more, Jen Gennai, Head of Responsible Innovation at Google, will run through past, present and future learnings and challenges related to the creation and adoption of Google’s AI Principles.

Keynote Details

Putting Ethical Principles into Practice When Deploying Machine Learning
As principles purporting to guide the ethical development of Artificial Intelligence proliferate, there are questions on what they actually mean in practice. How are they interpreted? How are they applied? How can engineers and product managers be expected to grapple with questions that have puzzled philosophers since the dawn of civilization, like how to create more equitable and fair outcomes for everyone, and how to understand the impact on society of tools and technologies that haven’t even been created yet. To help us understand how Google is wrestling with these questions and more, Jen Gennai, Head of Responsible Innovation at Google, will run through past, present and future learnings and challenges related to the creation and adoption of Google’s AI Principles.

Jennifer Lewis Priestley
Jennifer Lewis Priestley

Professor of Applied Statistics and Data Science


Keynote Details

How Leading Enterprises Leverage Universities to Boost Analytical Innovation and Tap Talent
How many .edu addresses are in your inbox right now? As organizations pursue digital transformation strategies, challenges related to finding and retaining analytical talent, objectively assessing the relevance of new, and emerging technology and engaging in deep and meaningful innovation with eventual payback are common to all sectors of the economy. Deep, collaborative partnerships with universities can help mitigate many of these challenges. This is all the more true because data science itself has given rise to a new “entrepreneurial university” paradigm. Dr. Priestley is an academic Associate Dean, who worked for organizations like Accenture and VISA EU, and now manages corporate partnerships with the likes of Blue Cross Blue Shield, Emerson, Equifax, and GE, as well as fire departments and law enforcement. She will discuss the ways that organizations should be thinking about working with universities, but typically don’t — including research, innovation, “externships,” training options, recruitment, and other strategic relationships. After this session, you will never look at universities the same way again.

Keynote Details

How Leading Enterprises Leverage Universities to Boost Analytical Innovation and Tap Talent
How many .edu addresses are in your inbox right now? As organizations pursue digital transformation strategies, challenges related to finding and retaining analytical talent, objectively assessing the relevance of new, and emerging technology and engaging in deep and meaningful innovation with eventual payback are common to all sectors of the economy. Deep, collaborative partnerships with universities can help mitigate many of these challenges. This is all the more true because data science itself has given rise to a new “entrepreneurial university” paradigm. Dr. Priestley is an academic Associate Dean, who worked for organizations like Accenture and VISA EU, and now manages corporate partnerships with the likes of Blue Cross Blue Shield, Emerson, Equifax, and GE, as well as fire departments and law enforcement. She will discuss the ways that organizations should be thinking about working with universities, but typically don’t — including research, innovation, “externships,” training options, recruitment, and other strategic relationships. After this session, you will never look at universities the same way again.

Plus a special plenary session from:

John Elder Ph.D.
John Elder Ph.D.

Founder & Chair

PAW Business is part of Machine Learning Week Las Vegas — the facts:

Days

Days

Conferences

Tracks

Workshops

Speakers

Speakers

Sessions

Sessions

Attendees

Predictive Analytics World is the leading cross-vendor conference series covering the commercial deployment of machine learning and predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors deploy machine learning and the kind of business results they achieve.

Click here to view the agenda at a glance

Read more about the scope of PAW Business

LAST YEAR – COMPANIES ON THE 2019 AGENDA

Experience case studies on how predictive analytics is applied at leading enterprises:

Apple
Bloomberg LP
Canada Post
Closetbox
Comcast
Dell EMC
Facebook
Freewheel
Goldman Sachs
Google
Hopper
Infinity
Informa / UBM
Jackson Lewis
Mercer
Microsoft
Nike
Overstock.com
Pacific Life
Publisher's Clearing House
Sony Pictures Entertainment
Southwest Airlines
Stacked Restaurants
Stanford University
Twitter
Wake Forest University
Walt Disney Company
Wells Fargo
Western Seminary

The PAW Business Vegas 2019 program featured over 40 sessions across these topics:

BUSINESS
Analytics operationalization & management
Track 1
TECH
Machine learning methods & advanced topics
Track 2, Day 1
DATA
Data strategies & data prep
Track 2, Day 2 (first half)
DEPLOYMENT
Predictive model deployment & integration
Track 2, Day 2 (second half)
CASE STUDIES
Cross-industry business applications of machine learning
Track 3
BUSINESS
Analytics operationalization & management
Track 1
TECH
Machine learning methods & advanced topics
Track 2, Day 1
DATA
strategies & data prep
Track 2, Day 2 (first half)
DEPLOYMENT
Predictive model deployment & integration Track
2, Day 2 (second half)
CASE STUDIES
Cross-industry business applications of machine learning
Track 3

Previous attendees describe what they found most valuable at PAW:

Testimonials

James McCaffrey- Senior Scientist Engineer, Microsoft

The bottom line: the event was really good — I give it an overall grade of an A- which is (tied for) the best grade I’ve ever given to any conference.

Indu Sriram - Digital Marketing Analytics Manager, Staples

I'm happy we have a conference like Predictive Analytics World - where practitioners like myself can meet other professionals and learn all the latest and greatest. It's a go-to resource and I often attend - hats off to this conference's producers!

Allison Gonzalez - Decision Science Analyst, USAA

Just do it! Everybody is doing it! I attended PAW San Francisco 2016 and I come back with many new contacts, new friends, and more knowledgeable.

Kenton - Economist, Nike

The emphasis on practical application of analytics to real world business problems and decision making is just right at this conference!

Jason King - Principal Scientist, Procter and Gamble

A 360 degree event - great for anyone who wants to know where data analytics is at and where it's going.

Cross-register for one or all of the other Machine Learning Week conferences:

PAW Financial
PAW Healthcare
PAW Industry 4.0
Deep Learning World

Co-located event: PAW Financial. This PAW Business event is held alongside PAW Financial; financial services-focused sessions will be located there. Available cross-registration options provide you the opportunity to attend sessions at both events. Click here for details about PAW Financial.

Impressions from PAW Business

Come to Predictive Analytics World and access the best keynotes, sessions, workshops, vendor exposition, expert panel, networking coffee breaks, reception, networking lunches, brand-name enterprise leaders, and industry heavyweights in the business.

Get PAW Business event information and updates delivered straight to your inbox.

Share This

Get Predictive Analytics World news and event information delivered straight to your inbox.