Predictive Analytics - Get Up to Speed on These Topics

Predictive Analytics World for Business New York’s (Oct. 29-Nov. 2) rich program of brand name case studies and industry leaders covers deployed machine learning — across these topics:



Track 1: BUSINESS
Analytics strategy & operationalization – Project management, project leadership, and organizational process — example sessions:

• Addressing a Public Health Crisis in the NYC Mayor's Office
• Just-In-Time Skills Training at LinkedIn
• Data Science Driven Insights at The Clorox Company
• Value Creation Through Analytics Innovation at Prudential Financial
• Accelerating Data Science Innovation at Comcast
• Operationalizing Analytics at Honeywell
• Winning the Right Marketplace Talent with Analytics at Intel
• Project Management for Data Scientists at Citigroup
• Operationalizing Analytics at John Hancock

• Getting the Best Out of Hand-Tagged Training Data at Bloomberg
• Time Series Crime Prediction with Twitter in New York City
• Random Forests and Gradient Boosting Machines at Citigroup
• Demand Forecasting with Machine Learning at Micron Technology
• Machine Learning vs. Feature Engineering
• Three Steps for Improving Data Quality for Predictive Analytics
• Ask the Experts about Best Practices
• Understanding Complex Predictive Models
• Solving for the Conflict Between Laws and Analytics

Track 3 (Day 1): MARKETING
Marketing & market research analytics – Machine learning applications such as targeting customer acquisition, optimizing retention, and uplift modeling — example sessions:

• Retention Modeling in Uncertain Economic Times at Paychex
• Predicting Customer Preferences at Walmart
• Predicting Brand Love with Wireless Behaviors at Verizon Wireless
• Acquisition Funnel for Higher Education at Becker College
• Real-Time Automation to Build Relationships & Retain Customers
• Which Predictive Model Will Best Help Increase Retention?
• Using Rapid Experiments and Uplift Modeling to Optimize Outreach at Scale

Track 3 (Day 2): CASE STUDIES
Varied business applications – Examples from the front lines where deployed machine learning taps into the most powerful value propositions, across business functions — example sessions:

• What Makes TV Content Work at BBC Worldwide?
• Implementing a Risk Model in the Maritime Industry at RightShip
• The Limits of Surveys and the Power of Google Search Data
• Customer Journey Analytics: Blazing Paths to Customer Success
• Advancing Hydroponics through IoT Analytics
• Leveraging Machine Learning for Realtime Pricing in Truck Logistics

Do Not Miss This Groundbreaking Conference

Conference produced by: Rising Media & Prediction Impact


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