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Analytics Magazine

May/June 2012 Table of Contents

business analyticsFEATURES

Why large, once-successful companies fail

By Gary Cokins
The reasons are numerous, but the world’s problems are more complex than ever, creating the need for analytics.

Actionable Analytics

By Krishna Rupanagunta, Meena Anantha Padmanabhan and Vinay Mony
How to convert thought into action and bridge the gap between analytics creation and consumption.

Sponsored search advertising

By Patrick Quinn, Michel Gamache and Sandrine Paroz
How statistical and optimization methods help advertisers manage their Internet campaigns more efficiently.

On the road to innovation

By Janice Partyka and Randolph Hall
Survey of vehicle routing software reveals that fierce competition produces creative solutions.

Integrated sentiment analysis

By Fiona McNeill
Text analytics, V2: Powerful technique hears much more than the voice of the customer.

DEPARTMENTS

Inside Story
Executive Edge
Profit Center
Analyze This!
Viewpoint
Newsmakers
Conference Preview
Five-Minute Analyst
Thinking Analytically

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Headlines

Challenges facing supply chain execs: leadership, labor, legacy technology

While most companies recognize the value of a digitally enabled supply chain – empowered by new technologies like artificial intelligence, blockchain, big data and analytics – many chief supply chain officers (CSCOs) are not leveraging their C-suite counterparts to help reinvent the supply chain function and transform it into an engine of new growth models and customer experiences, according to new research from Accenture. Read more →

Data Science Bowl: Using AI to accelerate life-saving medical research

Imagine unleashing the power of artificial intelligence to automate a critical component of biomedical research, expediting life-saving research in the treatment of almost every disease from rare disorders to the common cold. This could soon be a reality, thanks to the fourth Data Science Bowl, a 90-day competition in which, for the first time, participants trained deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup – and without human intervention. Read more →

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