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5 Major Differences Between Backup and Archive

In this special guest feature, John Sharpe, Director of Product Management for Iron Mountain’s Data Management business, identifies five key differences between data backup and archive.

Bridging the Big Data Gap in Big Pharma with Healthcare Analytics

In this special guest feature, Brian Irwin, VP of Strategy at SHYFT Analytics, takes a look at the three market dynamics driving life sciences organizations to evaluate new data analytics strategies and technologies as they transform into value-based care delivery models.

dPaaS: A Disruptive Force in the Integration Space

In this special guest feature, Rob Consoli, Senior Vice President of Sales and Marketing for Liaison Technologies, makes a case for the benefits of a data-centric approach to integration called dPaaS (Data Platform as a Service), an integration and data management platform that is fundamentally different from traditional approaches and offers a number of advantages.

Understanding TCO: How to Avoid the Four Common Pitfalls that May Lead to Skyrocketing Bills After Implementing a BI Solution

In this special guest feature, Ulrik Pedersen, Chief Operations Officer at TARGIT, highlights the constant battle between IT and finance on Total Cost of Ownership (TCO) when it comes to implementing a new BI solution.

Neural Networks and the Future of Machine Learning

In this special guest feature, Gary Baum, Vice President of Marketing at MyScript, talks about how handwriting recognition is enhancing machine (and human) learning. As an input method, handwriting recognition teaches machines to adapt to the user, adding in another layer to their evolving skill set. Those users can program systems simply by jotting down notes and in turn, build platforms most reflective of the human experience.

Building a Successful Predictive Analytics Program

In this special guest feature, Jane Hendricks, WW Portfolio Marketing Lead at IBM Predictive Analytics, describes a methodology for realizing business value from predictive analytics: start by understanding the business before the data that’s available and obtainable, then develop and apply models while considering how the models can be put into practice. The article includes three short case studies that illustrate the successful application of these principles.

Want to Get More Out of Hadoop? Here Are 5 Ways

In this special guest feature, Ashley Stirrup, CMO at Talend, provides a useful list of five ways to get more out of Hadoop as organizations increasingly look to speed time to market, anticipate and respond to customers’ needs, and introduce new products and services.

Scaling Home Energy Simulation to New Markets

In this special guest feature, Mark Gately, Senior Manager, Decision Science at Tendril, describes a future when homeowners can use data analytics to accurately model energy consumption and corresponding costs.

Machine Translation: The Combination of Machine Learning and Human Intelligence

In this special guest feature, Vasco Pedro, CEO and Co-Founder of Unbabel, discusses the importance of machine translation for natural languages and how it currently lacks the quality companies demand for their content.

Three Industries Being Disrupted By Data Products

In this special guest feature, Sundeep Sanghavi, Co-founder and CEO of DataRPM, identifies and discusses three industries and they’re being disrupted by three popular data products.