The premier machine learning event –
select a conference:
The premier machine learning event –
select a conference:
Upcoming events:
Predictive Analytics World is the leading cross-vendor conference series covering the commercial deployment of machine learning and predictive analytics.
Predictive Analytics World — the facts:
Years
Locations
Total Events
Speakers
Sessions
Companies
Attendees
2023 Keynote Speakers
William Wilkins
VP, Chief Risk and Analytics Officer
Gulrez Khan
Data Science Lead
Terry Miller
Executive Director-Predictive Analytics (Global Services)
Vanja Josifovski
CEO & Co-Founder
Sarah Kalicin
Data Scientist
Jen Gennai
Head of Responsible Innovation, Global Affairs
Brandon Southern
Sr. Manager - Business Intelligence
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 PAWSF 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.
Impressions from Machine Learning Week
PREDICTIVE ANALYTICS WORLD – INDUSTRY EVENTS
Deliver on machine learning’s full potential in your industry by attending a specialized PAW event:
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.
Las Vegas
June 18 – 22, 2023
Europe
Fall 2023
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.
Las Vegas
June 18 – 22, 2023
Europe
Fall 2023
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.
Las Vegas
June 18 – 22, 2023
Fall 2023
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 to explore the latest trends and technologies in machine & deep learning for the IoT era.
Las Vegas
June 18 – 22, 2023
Europe
Fall 2023
PAW Climate is designed to deliver the power of machine learning to assist companies tackling climate change. The event delivers case studies from practitioners currently involved in delivering machine learning solutions for climate tech solutions and advances.
Virtual
June, 2023
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.
Las Vegas
June 18 – 22, 2023
Europe
Fall 2023
Data Driven Government is focused on helping government executives to share and discuss emerging trends and best practices of how government agencies are currently using data analytics to enhance mission outcomes. Practically-focused, vendor-neutral, DDG advances the deployment of analytics and data science within Federal, State, and Local government.
Fall 2023
Training Workshops – May 2021
Wednesday, May 19, Livestream
Big Data: The Leading Ways to Improve Business with Data Science (Non-Technical)
Marc Smith, Chief Social Scientist, Connected Action Consulting Group
Vladimir Barash, Director, Graphika
Wednesday, May 19, Livestream
Machine Learning with R: A Hands-On Introduction
Robert A. Muenchen, Manager of Research Computing Support, University of Tennessee
Wednesday, May 19, Livestream
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
John Elder, Founder & Chair, Elder Research
Thursday, May 20, Livestream
Machine Learning with Python: A Hands-On Introduction
Clinton Brownley, Data Scientist, WhatsApp
Thursday, May 20, Livestream
Machine Learning Operationalized for Business: Ensuring ML Deployment Delivers Value
James Taylor, CEO, Decision Management Solutions
Thursday, May 20, Livestream
Ensemble Models: Supercharging Machine Learning
Dean Abbott, Co-Founder and Chief Data Scientist, SmarterHQ
Thursday, May 20, Livestream
Spark on Hadoop for Machine Learning: Hands-On Lab
James Casaletto, Senior Solutions Architect, Map Technologies
Friday, May 21, Livestream
The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them
John Elder, Founder & Chair, Elder Research
Recent Articles
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More about Predictive Analytics World, Machine Learning and AI
Conference Scope
Whether you call it machine learning, predictive analytics, data science, big data, data mining or artificial intelligence, Predictive Analytics World sessions cover the commercial applications of machine learning, across business, finance,
marketing, manufacturing, healthcare, recruitment, government, including the following:
- Targeting marketing (offline and online)
- Response modeling
- Customer retention with churn modeling
- Acquisition of high-value customers
- Direct marketing
- Database marketing
- Profiling and cloning
- Online marketing optimization
- Behavior-based advertising
- Email targeting
- Website content optimization
- Methods Covered
- decision trees
- logistic regression
- neural networks
- net lift modeling
- Product recommendation systems
- Workforce analytics
- Fraud detection
- Insurance pricing and selection
- Credit scoring
- Other forms of risk management
- Predictive maintenance
- Logistics analytics
- Fault prediction & failure detection
- Anomaly detection & root cause analysis
- Supply chain connectivity and optimization
- Risk management & prevention
- Smart grid, utilities, and energy operations
- Credible “AI” approaches with demonstrated value
- Image & video recognition
- Internet of Things & smart devices
- Stream mining & edge analytics
- Machine learning, ensemble models, & deep learning
- Process mining & network analyses
- Mining open & earth observation data
- Edge analytics & federated learning
- And more
Predictive Analytics Guide
Predictive analytics is information technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your data, learning
from the experience of your organization. For more answers on data science visit the Predictive Analytics Guide for reading, training options and other resources.