Author: Wayne Bye

If knowledge is power, then having the ability to quickly process and use data is paramount. Even more so is the accuracy and consistency of the data processing. This becomes more critical amidst the rapid promulgation of AI/ML models which rely heavily on data.

The data used in AI/ML models must be evaluated and curated. After all, bad data will yield bad results. For example, if a model is intended to calculate a specific course of action to be taken and the data that is input is corrupted, the likely result would be a course of action taken that could have negative impacts.

As many of us do, some more frequently than others, I recently upgraded my cell phone. In my case, it was not about racing to get the latest thing to hit the market, but rather the integrated AI translation capabilities. After studying the reviews and the features, I felt it was more of a necessity.

Why a necessity? There is a bit of a language barrier in our house as my father-in-law lives with us and speaks very little English. Though I have picked up a few keywords and phrases since he moved in seven years ago, I am far from being able to speak the Korean language and my wife is not always there to translate.

Whether it is Fitbit, Apple, Samsung, or Garmin, new wearable Bluetooth technology devices are constantly joining the market. Tracking everything from step count, distance traveled, and heart rate, even a basic cardiogram has been built into wearables as capabilities have advanced. As a result, it has become more convenient for people to track more of their routines such as diet and exercise since wearables communicate directly with apps on their phones, tablets, and computers. The advances have also made it easier to share this data with family, friends and, more importantly, their physicians to set goals for improving one’s health.