AI applications have driven the world with the increasing prevalence of technology in every field. Humans are replaced by robots and the world has become massively more efficient because of AI.
Artificial Intelligence is evolving all over the world since centuries, it has never had the scope of application that it does today. For instance, find a scenario where we can ask Google assistant to make a call to someone. The application first opens your contacts, finds the phone number, and calls them. It does so in a matter of seconds, ready to do on your next command.
Moreover, consider a scenario where we can ask the Google Assistant to find hotel near me. The application first detects your place, scans the nearby living joints, collects their contacts, calculates your distance to them (by walk, bicycle, car, and public transport), gets a link to their websites, evaluates the cost and amenities available, and shows you based on their ratings. This happens on your fingertip in a second but how did it works?
AI will easily do complex tasks
If you are thinking about how AI and other applications do this functions with so ease, the answer is simple — data. Every single device we use is recording our activities on a scale like never before and this recording is facilitated through sensors, digital devices, and data. Whatever we search including search histories, every single browser history and payments are recorded.
For instance, if you have to go somewhere daily, it would be handy to have the train timings and other details such as the cost of the ticket, and platform number on your smartphone as you enter the station. Similarly, it you commute the route by your personal vehicle; it would give you the shortest and/or leased congested route to work with you. AI today takes care of every segment, in less than a minute. Not only this, the AI will simplify the complex functions by reducing stages from our patterns but also helps in finding new patterns as well.
How data flows?
AI learns from all the data it has available from our own search history. The more data it has the more effective it will work. But the question is how this technology can benefit from cross-border data flows?
AI having access to cross-border data can have two conceivable implications for the future of technology. The first would be the availability of trans-border data flows and second would be the volume of data for AI to process will increase exponentially.
In addition, the availability of cross-border data flows, AI would have more facts to learn from and more patterns to uncover. This would accelerate the development of the software that processes these insights and brings us to the next implication, the nature of cross-border data flows.
Everything is possible because of Data!
Just like us, AI applications improve more with an enhanced experience. For instance, data provides the examples necessary to train models in AI that can do predictions and classifications such as image recognition. Data for any task requires 10 times as much data as the number of parameters (i.e., degrees of freedom) in the model being built. The more complicated the task, the more data needed to complete it successfully.