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.
Posted by Ashwin Patil on June 22, 2017
Things are just starting to pop in the world of manufacturing, aren’t they? Digitization and connectivity are forging the way ahead. Advanced manufacturing techniques combined with the Internet of Things are creating a digital manufacturing enterprise that communicates, analyzes and uses information to drive intelligent action back in the physical world. Supply chains are shifting from linear, sequential operations to an always-on, interconnected, open system of supply operations called a digital supply network (DSN), and traditional silos are breaking down. Continue reading “Effectively merging digital and physical worlds. It’s not a galaxy far, far away”
Posted by John Lucker on June 8, 2017
If you think there’s only one great festival in Cannes each year—the one featuring paparazzi, ingénues, and up-and-coming film directors—think again. The Cannes Lions International Festival of Creativity, held from June 17-24, is a mecca for celebrating creative excellence in data-driven innovations.
Posted by John Houston on May 12, 2017
In the financial services arena, data scientists are taking a seat next to traditional business analysts, tasked with finding value in an ever-expanding quantity of data. By delivering smarter insights using analytics and cognitive technologies, data scientists help address problems in investing and trading strategies, portfolio management, regulatory reporting, client service, and more.
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.
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.