Join us in Las Vegas on June 16-20 for the largest Predictive Analytics World event to date, Mega-PAW, with seven tracks of sessions covering the commercial deployment of machine learning across industry sectors. 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.
Watch PAW Founder Eric Siegel’s Five Reasons to Go to Mega-PAW:
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 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. 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.
More About PAW for Healthcare
Attend Predictive Analytics World for Healthcare and witness today’s rapidly emerging movement to fortify healthcare with big data’s biggest win: the power to predict. This conference assembles the industry’s leaders to deliver case studies and expertise, revealing how predictive analytics:
- Improves patient care
- Reduces costs
- Brings greater efficiencies to the healthcare industry
Predictive analytics addresses today’s pressing challenges in healthcare effectiveness and economics by improving operations across the spectrum of healthcare functions:
- Personalized Medicine: Per-patient prediction and analytically enhanced diagnosis drives individual clinical treatment decisions
- Insurance: Predictively guided decisioning combats risk and renders insurance more equitable and profitable
- Hospital Administration: Analytics detects and recoups loss due to fraud and waste
- Healthcare Marketing: From medical suppliers to healthcare screening service providers, the performance of industry enterprises hinges on analytically targeted marketing
- Drug Development: Analytics advances pharmaceutical engineering, testing, and other processes
- Much More: Other applications include predicting per-patient disease progression, mortality risk, availability of clinical trial participants, consumer prescription adherence, and more
Elder Research at the Conference
Data underlies all of our best efforts to evolve health care practices. Data, and lots of it, now come in many forms and from many sources. Data is the catalyst for the transition from volume-based, episodic care to value-based, personalized care. A workable data strategy has to account for a variety of data forms and sources. A good data strategy bakes in empathy for each individual represented by the data. And, a great data strategy ensures that any movement of data within the organization is reliable, timely, and makes provision for increased data asset value. Great data strategy is the foundation for improving the delivery and outcomes of our healthcare experience. Gerhard Pilcher will share insights, tips, and lessons learned from more than 20 years of work solving problems and providing guidance to many different types of complex organizations within the health care industry and beyond.
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 a special plenary talk "Against All Odds: The Slow, Startling Triumph of Reverend Bayes" at the Predictive Analytics World for Business and Industry 4.0. He will also teach two 1-day workshops on "The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques" and "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 to discuss how our Executive Analytics Strategy session and other consulting services can help you get more value from your data assets.
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