Doctors at Carilion Clinic, a hospital in southwest Virginia, are getting a productivity boost with their medical applications. They can complete their cardiology study a lot faster than before because they can review real-time diagnostic imaging files much faster and more reliably.
You see, real-time data is getting a lot of attention in the industry lately. Using analytics and real-time data effectively, people can discover hidden patterns and new clues for better and more timely decisions. This is very exciting. But first thing first. People often have to answer this challenging question: is the captured data, which is often complex and huge in size, dependable enough to begin with?
As an example, imagine that you were having a critical video conversation with a business partner. You were going to make a major decision based on the outcome of this conversation. Would you be confident enough with your decision if the voice and the image stream were messed up as seen below on the left? And would your confidence level be hugely boosted when the voice was clear and the image was sharp as seen on the right?