Why You Should Attend Predictive Analytics World

Paul Derstine

May 18, 2018

 BLOG_Predictive Analytics World-Las Vegas

This year there will be only ONE Predictive Analytics World conference in the U.S. Billed as Mega-PAW, it will be the largest Predictive Analytics World event to date and is the premier cross-vendor conference for machine learning and predictive analytics professionals, managers and commercial practitioners. 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.

What is the Focus of the Conference?

The conference offers seven tracks across five parallel industry-focused events: 

Business features concrete examples of deployed predictive analytics. Hear how Fortune 500 analytics companies and other top practitioners deploy machine learning, and about the kind of business results they achieve.

Financial Services is the leading cross-vendor event covering the deployment of predictive analytics by banks, insurance companies, credit card companies, investment firms, and other financial institutions.

Healthcare will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how predictive analytics is employed at leading enterprises, resulting in improved outcomes, lower costs, and higher patient satisfaction.

Manufacturing focuses on real-world industrial examples of deployed predictive analytics. Attend and hear how some of the world’s largest and most forward-thinking manufacturers are tapping the power of predictive modeling to improve business outcomes.

Deep Learning World’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods. The event achieves this by focusing more on industry applications than on R&D or academic advancement. Commercial projects draw from research projects but are executed to solve specific industrial problems through operational deployment of the models.

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 value: Leverage bigger data for prediction and drive bigger value

With a strong case study focus, PAW offers an in-depth look at how teams across diverse industry sectors are using machine learning to solve their most challenging business problems. There is no better way to learn than from concrete case studies presented by top practitioners from leading companies. Learn from the mistakes and best practices of others in your industry.

PAW Vegas Facts

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 make decisions via predictions. The most actionable win from data — to more effectively drive organizational operations — is prediction.

Machine Learning: Although the term “machine learning” used to be common only within the walls of research labs, it’s now used frequently in the context of commercial deployment of analytics. Whether you prefer ML or Predictive Analytics, we are discussing technology that learns from data to predict an unknown, including decision trees, logistic regression, neural networks, and many others.

Elder Research at the Conference

Jeff Deal is again conference chair for PAW Healthcare. Jeff has more than 25 years of experience in business operations, planning, and government relations, in the health care industry as well as the analytics industry, and he is coauthor of  Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics. 

Dr. John Elder, an in-demand instructor, keynote speaker, author and analytics practitioner with deep industry and academic experience will deliver the overall keynote address "The Greatest Science" for all the combined PAW conferences together.  He will also teach two 1-day workshops on "The Best of Predictive Analytics: Core Machine Learning and Data Science Techniquesand "The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them".

Elder Research will sponsor a booth staffed by our executives and data scientists. Come visit us at Booth 800 to discuss how our Executive Analytics Strategy session and other consulting services can help you get more value from your data assets.  


Need a Speaker for Your Analytics Conference? Learn more about our Speaking Services.

Download the e-book  Top 10 data Mining Mistakes

Read the blog Avoiding Common Data Science Business Mistakes

About the Author

Paul Derstine As Director of Marketing, Paul Derstine works with clients to understand their data analytics goals and how Elder Research's vast experience with data engineering, data analytics, and data visualization can deliver solutions that enable return on their analytics investment. Prior to joining Elder Research, Paul worked for 18 years for GE Intelligent Platforms in Charlottesville where he worked with a broad spectrum of global customers to understand their business needs in order to deliver solution value and optimize profit and growth objectives. Paul has a B.S. degree in Electrical Engineering from The Pennsylvania State University.