Predictive Analytics World for Financial is the leading event covering the deployment of machine learning and predictive analytics for financial services. Hear from the horse’s mouth precisely how banks, insurance companies, credit card companies, investment firms, and other financial institutions — both Fortune 500 analytics competitors and other top practitioners — deploy machine learning and predictive modeling. As part of Machine Learning Week, PAW Financial will be held alongside PAW Business, PAW Healthcare, PAW Industry 4.0, and Deep Learning World.
Watch PAW Founder Eric Siegel’s
Five Reasons to Go to Machine Learning Week:
2020 PAW Financial Keynote Speakers
Director of Advanced Analytics
AI and Data Science Center of Excellence Leader, Workplace Investing
Head of Responsible Innovation, Global Affairs
PAW Financial is part of Machine Learning Week — the facts:
COMPANIES ON THE 2020 AGENDA
Witness how practitioners at these leading enterprises apply machine learning:
Previous attendees describe what they found most valuable at PAW:
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.
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.
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.
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.
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!
This PAW Financial conference is held alongside the more broadly-scoped conference, PAW Business. While financial services-specific topics are covered at PAW Financial, some financial services companies present at PAW Business on topics such as marketing applications and analytics strategy. Available cross-registration options provide you the opportunity to attend sessions at both conferences. Click here for details about PAW Business.