The Adaptive Network: Why automation alone isn’t enough
By Keri Gilder – Just imagine, instead of 70, your heart rate was at 100 beats per minute. This could be a warning sign that you are on the verge of having a heart attack.
If your doctor were to get this information in real time, they could check the readings against your medical records and see that this is completely out of the norm and then warn you to seek medical assistance immediately.
However, if your personal trainer received that same information, would they reach the same conclusion as your doctor? Your trainer has access to a different database, which might show your resting heart rate as well as the rate during high-intensity training. Knowing that you are likely exercising, they would instead conclude that there is no need to go to the hospital after all.
This clearly demonstrates that just accepting raw data without filtering and proper analysis is no longer good enough and can potentially have serious repercussions. Instead, it is critical that we have diversity of thought when it comes to how we interpret data.
This is not just true for our health or other day-to-day scenarios, but can also be applied to the communication networks that carry and house our information. more>