August 5, 2013 in Predictive Analytics
Predictive Analytics
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https://doi.org/10.1287/LYTX.2013.04.02
Predictive analytics in the publishing industry
The transformation of traditional print media and the growing intelligence behind monetization strategies.
Cognitive computing for automating customer knowledge
How to automatically provide a clear means to make the most of your company’s proprietary data.
Building human curiosity into artificial intelligence
How neuro-dynamic programming enables smart machines to think ahead.
Predictive Analytics — Reinventing industries: predictive game-changer
Healthcare Analytics
Predicting patient experience with narrative data: a healthcare goldmine
Networks vs. fraud: Connecting the dots
Well-constructed analytical models useful in thwarting fraudsters who often collaborate, thus setting up complex but revealing patterns of behavior.
Internet of Things analytics
Welcome to the ‘We Economy’: Finding the business in your data.
Corporate Profile — SAS: Where it’s been and where it’s headed
Human Resources: Key skills for analytics pros
“People analytics” teams now come from highly trained backgrounds looking to employ analytical tools
Executive Edge: Machine learning unleashes big data potential
The art of putting fragmented, often disconnected data sources together to generate actionable insights for the enterprise.
Goal-driven analytics
Big data needs advanced analytics, but analytics does not need big data.
Healthcare Analytics: Rise of the empowered patient consumer – courtesy of analytics
Predictive Analytics — Most swans are white: Living in a predictive society
Adventures In Consulting What’s a defense consulting company doing in sports?
Analytics in the oilfield
Properly deployed, predictive and other forms of advanced analytics can yield crucial insights for exploration and production companies.
Predictive analytics in the cloud
Ability to deliver ROI solutions more cost-effectively is driving cloud deployment.
Executive Edge: How analytics will drive the future
Population health management and medication adherence
Apply predictive analytics to address population health management and medication adherence problems.
Predictive Analytics: The privacy pickle
Hewlett-Packard’s prediction of employee behavior.
Analyze This! A tale of two books on decision-making
Analytics Power Player
PAW founder Eric Siegel discusses the power of predictive analytics, privacy issues, his new book and what the future may hold for analytics professionals and consumers.
Predictive analytics: Harnessing the power of big data
How to pick a business partner
Ten things to consider when evaluating analytics and decision sciences partners.
Decision Analysis
Survey highlights new features and trends, but the relationship between technology and thoughtful analysis remains essential to the success of any software tool.
Executive Edge: The times they are a changin’ for advanced analytics
Statistical modelers urged to embrace machine learning, open-source tools for the road ahead.
Executive Edge: What predictive analytics “is not”
Driving profitability with retail analytics
How to make choices and investments that deliver on expectations.
Analytics & the future of healthcare
Market-driven reform already shifting emphasis from volume to value as industry leaders weigh in on what’s next.
Analytical integration in healthcare
Healthcare organizations need to finish implementing basic transaction data systems.
Predictive analytics: saving lives and lowering medical bills
Non-adherence to medication prescriptions is a health epidemic in the United States.
Images & videos: really big data
Sizing up the potential impact of prescriptive analytics driven by proliferation of images and video.
Successfully operationalizing analytics
A repeatable, efficient process for creating and effectively deploying predictive analytic models into production.
Beyond ‘Moneyball’: The rapidly evolving world of sports analytics
Professional baseball and basketball teams are leading the pack of sports organizations that are embracing analytics.
Sports analytics, Part 2
The role of predictive analytics, organizational structures and information systems in professional sports.
Executive Edge: The interactive nature of analytics
Predictive Analytics: TV ads, Wanamaker’s dilemma & analytics
The journey from historical ratings to predictive decisions: A proposed evolution for buyers and sellers of television advertising.
Corporate Profile: McDonald’s Corp.
From the biggest to the best: Innovation, analytics play key roles as world’s largest restaurant chain shifts focus.
Better Decision-Making: How HP delivers business value with enterprise-wide analytics services
A common approach to deploying business analytics across the enterprise to elevate the analytical maturity and deliver actionable intelligence.
Predictive Analytics: Game Changer
Practical ways to drive customer service, looking forward.
Predictive Analytics: Managing Fundamental Tradeoffs
Three lessons demonstrate that “one click” application are too much to ask for.
Predictive analytics in field service
Practical ways to drive field service, looking forward.
Profit Center: An analytics education
The Analytics Journey
An IBM view of the structured data analysis landscape: descriptive, predictive and prescriptive analytics.
Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series, a frequent keynote speaker and executive editor of The Machine Learning Times. Eric authored the forthcoming book "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment" and the bestselling "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die," which has been used in courses at hundreds of universities. He won the Distinguished Faculty award when he was a professor at Columbia University, where he taught graduate courses in machine learning and AI. Later, he served as a business school professor at UVA Darden. Eric also publishes op-eds on analytics and social justice.