Machine Learning Week 2023
6 industry-focused conferences in 1
Las Vegas, June 18-22, 2023
(PAW Climate: virtual, June, 2023)
7 Parallel Tracks
150+ International Speakers
150+ Cutting Edge Sessions
Machine Learning Week 2023 — the facts:
Machine Learning Week is our largest event to date, with seven tracks of sessions covering the commercial deployment of machine learning. Register to attend one or more of MLW’s six co-located conferences: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, PAW Climate and Deep Learning World.
2023 Keynote Speakers
Cross-register for up to Six Conferences at Machine Learning Week
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.
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 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.
Machine learning can be an important component in tech for addressing the climate crisis. Join PAW Climate to explore how companies apply machine learning to problems such as smart electrical grids, supply chain optimization, building energy efficiency, industrial control, precision agriculture, climate risk assessment, weather forecasting, ecosystem monitoring, and disaster response.
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 covers a wide range of deep learning application areas: autonomous vehicles, computer vision, speech recognition, manufacturing, fake news detection, document classification, insurance underwriting, economic forecasting, language generation, sensitive content detection, fraud protection, network security and automated marketing.
Simon Padron, Senior Engineer - R&D, Parker Hannifin
Had an amazing week of great insights into the world of machine learning and deep learning at the Predictive Analytics World Conference. I leave with lots of notes and expanded knowledge into the latest state of the art methods.
Ymke de Jong, Program Lead - Data & AI, Philips
Great event with great people! Learned a lot. I am looking forward to bring our learnings into practice!
Darin Conti, Head of Commercial Predictive Analytics, S&P Global Market Intelligence
Machine Learning Week provides a great opportunity for analytics managers and teams early on in their ML journey to learn from experienced practitioners and gain actionable insights. In addition, there is a diversity of topics and sessions from which to choose and ample time to socialize/network with attendees.
John Crissman, Research Analyst, CNA Corporation
Machine Learning Week is the place to be if you want to learn current best practices and engage with industry leaders.
William Wilkins, VP, Chief Risk and Analytics Officer, Safety National Casualty Corporation
I like coming to the event since it caters not just to the practitioner, but those who need to help the practitioner demonstrate the value of the analytics products.
Anasse Bari, Ph.D., Associate Professor, New York University
Predictive Analytics World was excellent! The organization was phenomenal and the speakers were so interesting. Dr. Eric Siegel, the founder of PAW, is a visionary and a leader in the machine learning and predictive analytics fields. This is by far one of the best conferences. It not only brings leaders on the field together, but also offers practical hands-on with real applications in healthcare, business, manufacturing, government, and financial services.