Improve health care with predictive analytics
May 24-28, 2021 – Livestreamed – Apply to Speak by Nov. 6
PART OF MACHINE LEARNING WEEK
The Predictive Analytics World for 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 and resulting in improved outcomes, lower costs, and higher patient satisfaction. Read more about the scope of PAW Healthcare. As part of Machine Learning Week, PAW Healthcare will be held alongside PAW Business, PAW Financial, PAW Industry 4.0, and Deep Learning World.
Watch PAW Founder Eric Siegel’s
Five Reasons to Go to Machine Learning Week:
2020 PAW Healthcare Keynote Speakers
Plus two leading keynotes shared as part of Machine Learning Week:
PAW Healthcare is part of Machine Learning Week — the facts:
COMPANIES ON THE 2020 AGENDA
Witness how practitioners at these leading organizations apply machine learning:
Previous attendees describe what they found most valuable at PAW:
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.