How do you see edge computing working alongside artificial intelligence, and the challenges it presents?
If you haven't heard the terms Artificial Intelligence, Machine Learning, Internet of Things, Autonomous Vehicles and Bots, you will be hearing about them very soon. All these along with Edge computing have made technological advances that are and will be changing our lives in ways we never would have imagined. Many hiring managers who are familiar with these buzz words and technologies are probably in the infancy stages of developing projects and initiatives related to these technologies. They will be eager to ask you about what you know, and which one of these technologies you have worked with. Let's focus on Artificial Intelligence working alongside edge computing. If you have a device that supports Alexa, Siri, Echo or Cortana, you probably have an Artificial Intelligence technology that lets you make a command and receive an answer from a device. Some of those questions might ask what software you used to develop voice recognition or voice responses by sound wave, etc. These are the types of questions that the interviewer will be asking.
"Google, Amazon, Microsoft, and Apple have developed digital personal assistants to help you manage your life a little easier. You can ask these devices to turn on your car, toaster, oven, dishwasher, home security system, etc. All are forms of Artificial Intelligence. Given that AI, ML, and other technologies are new; there's still deeper learning required. I will say that from a large majority of people who know these technologies, I'm one of the few that knows them better than a majority of technologists in the market. My experience in this area allows me to be a subject matter expert at a pretty deep level.
Interestingly enough, I've found that running most of these technologies presents latency problems because of bandwidth issues. Since the technologies take up so much data, they required a larger bandwidth to run these applications. To add to that, I was also able to solve the latency issue problem using Edge computing as a solution."
