About Predictive Analytics World
What is Predictive Analytics?
Predictive Analytics World is the premier cross-vendor conference for machine learning and predictive analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to achieve:
- Bigger wins: Strengthen the impact of predictive analytics deployment
- Broader capabilities: Establish new opportunities in data science and machine learning
- Big data: Leverage bigger data for prediction and drive bigger value
The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail.
Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers, employees, students, voters, patients, equipment, and other organizational elements optimizes performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.
Big data and data science. Predictive analytics is central to the big data and data science movements. The ultimate use of data is to learn from it to predict. Focusing on data or how much of it there is can overlook this point. What is the value, the function, the purpose? The most actionable win from data — to more effectively drive organizational operations — is prediction.
Machine learning. Predictive analytics means the commercial deployment of machine learning (the two terms are often used synonymously). Although the term “machine learning” used to be common only within the walls of research labs, it’s now also used more and more in the context of commercial deployment. Whichever term you prefer, we are discussing technology that learns from data to predict or infer an unknown, including decision trees, logistic regression, neural networks, and many others.
Experts and newcomers. Predictive Analytics World covers all the bases for both expert practitioners as well as newcomers. As the universal, cross-vendor meeting place that brings together the who’s who of predictive analytics, PAW presents not only unique opportunities to gain knowledge, but the industry’s premier networking event.
Get started. If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options! And in the meanwhile get started right away with the Predictive Analytics Guide.
The cross-vendor summit. Discover the best predictive analytics vendors available to serve your needs. Meet the vendors and learn about their solutions, software and services.
Valuable colleagues. Mingle, network and hang out with your best and brightest colleagues. Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you.
Attendees range across verticals and across enterprise functions. See the breakdown of delegates.
PAW Business’ sessions cover business applications of predictive analytics, including the following (for other PAW industry events, follow the navigation options in this webpage’s left column):
- 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
- Product recommendation systems
- Workforce analytics
- Fraud detection
- Insurance pricing and selection
- Credit scoring
- Other forms of risk management
- And more