The premier machine learning event
Las Vegas, May 31 – June 4, 2020

PAW  Financial
PAW Business
PAW Healthcare
PAW Industry 4.0
PAW Workshops

The premier machine learning event

Machine Learning Week 2020 — the facts:

Days

Days

Conferences

Tracks

Workshops

Speakers

Speakers

Sessions

Sessions

Attendees

Machine Learning Week 2020 Keynotes

A Charles Thomas

A Charles Thomas
Chief Data & Analytics Officer
General Motors

Becoming Data Driven in the Automotive Industry

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
Lyft

From Self-Driving to Fraud Detection – How Lyft Streamlines Machine Learning Deployment

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

Google

Putting Ethical Principles into Practice When Deploying Machine Learning

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

Kennesaw State University

How Leading Enterprises Leverage Universities to Boost Analytical Innovation and Tap Talent

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.

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.

Impressions from Machine Learning Week

Come to Machine Learning Week 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.


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