Five ways analytics technologies are revolutionizing health care


Posted by Nitin Mittal and Michael Brooks on June 30, 2017

We have grown comfortable with the automation of daily functions such as booking flights, online shopping, and moving funds between bank accounts. But the newest generation of technology offers much more. By enhancing human thoughts and actions, cutting-edge analytics capabilities are forward looking and prescriptive, enabling a technological revolution that impacts many areas of the health care industry.

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Actuaries & predictive analytics: 4 applications any business can borrow


Posted by John Houston on April 21, 2017

As big data has exploded, actuaries lead the way in using predictive modeling and data analysis to uncover insights. In fact, the very first mortality tables were a form of predictive analytics: actuaries used historical data to forecast survival rates and applied that insight to make informed choices about insurance and pensions. Today, thanks to ever more sophisticated algorithms generated by expanding computing power and artificial intelligence, predictive models can even take into account behavioral and economic factors.

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Do-it-yourself IoT: May the force(s) be with you!


Posted by Guru Kashyap on March 23, 2017

Thanks to a do-it-yourself Internet of Things (IOT) project I was working on a few weeks ago, I had an opportunity to reflect on the rapid pace of technology and innovation.

Over the last 25 years, four fundamental forces representing computing concepts and movements have gained momentum. Together, they helped integrate hardware, software, and the physical environment in a way that is intuitive and accessible to a do-it-yourself audience. These forces are:

Three reasons for moving analytics to the cloud

Speed, cost-efficiency, and agility are hallmarks of migration to the cloud

Posted by Ken Corless, on February 16, 2017

The business case for moving a company’s IT applications, including data analytics, to the cloud is compelling. It’s relatively fast and unquestionably cost-efficient when compared to building or expanding an in-house analytics infrastructure. It also offers a company agility in terms of developing hypotheses about how and where to use analytics in a specific organization, and then executing the resulting analytics strategy. Can your data be secure in the cloud? That’s the big question for many CIOs—and perhaps the biggest barrier to making the move.

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A smartphone-enabled journey toward a healthier future


Posted by Preeta Banerjee on January 06, 2017

Most of us love traveling. What about a journey inside the human body? Movies such as “Fantastic Voyage,” where shrinking to microscopic size allows humans to enter a patient’s body to save his life, may still be in the realm of science fiction, but to some extent, the vision has been realized via modern endoscopic techniques. Technology to monitor the body from inside and to deliver medicine to the exact spot of the disease or injury might change the way illnesses are prevented and cured in future.

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Can robots replace HR?

Can robots replace HR?
Posted by Michael Gretczko and Rajesh Attra on December 20, 2016.

Automation and artificial intelligence are hot topics these days, to the extent President Obama has recently started to position the future of smarter technologies as a critical topic for his successor to address.1 This transformation has broad impacts, but the changes expected in the HR function and the overall workplace are of significant interest.

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Can we all agree to avoid these “I wish I would haves” about cognitive computing?


Posted by Paul Roma, on October 10, 2016

Cognitive computing is already huge, and it’s likely only going to get bigger. And so far I’ve already observed a few seriously risky views on cognitive computing. Why are they risky? Because if they take hold, they’re likely to lead many to say “I wish I would have” in the not-so-distant future. In this case, the implications of getting it wrong, or simply not getting on board fast enough, are serious. Don’t let yourself get caught saying these things a year from now.

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Finding critical customer complaints when lives depend on it

Posted by Greg Szwartz, on October 7, 2016

Sometimes, being able to quickly separate critical customer complaints from others is a matter of life and death. Welcome to the daily challenge of the medical device industry.

The volume of complaints can be crushing, especially for a high-profile product. Which are reportable to the FDA? Setting aside the issue of reporting, which represent opportunities for safety and quality improvements? For instance, a patient may complain about something that’s not a safety issue–a broken shipping box. Another client may raise concerns about something far more serious. From an analytics perspective, it can be difficult to distinguish between the two, especially in the face of a large volume of complaints, coming from virtually anywhere in the world, in any language, from any customer or third party.

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