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Quickly make intelligent decisions based on huge amount of data
Most of us don’t even grasp the fact that most of our routine tasks are done with the help of artificial intelligence.
Your smartphone’s camera localizes a face and if the eyes are closed it won't take a picture.
Smart virtual assistant, e.g. Siri, Cortana, Alexa.
Bot behaviour in video games are controlled by artificial intelligent algorithms.
Your car has it! It wouldn’t be a big surprise that your car has adaptive lights, which automatically turns off high-beam lights when a car shows up, and turns them back on. The trick is, that A.I. understands that those are car’s headlights, not some street lights far away. And then there’s Tesla that mostly run on A.I.
Online customer support. More and more e-commerce stores are using A.I. chatbots to automate customer support. These chatbots are used in Facebook messenger, Live-chats in websites. Probably an A.I. system already responded to your compliance e-mail.
News. Yes, some major news sites use artificial intelligence to generate simple news articles, for example, financial reports, basketball game recaps, etc. It is just a matter of time until artificial intelligence will write in-depth articles and we won’t notice the difference.
It is quite possible that you discovered your new favorite artist with the help of artificial intelligence. Nowadays smart music or video players suggest content not only using tags or categories, but also they are using A.I. that “listens” to guitar riffs, the dynamics of vocals, bass. Quite impressive isn’t it?
A.I. can be taught to identify objects & scenes the same way a human does.
Here is an example.
A parking lot gate opens only for employees, not the car. The A.I. recognizes a car is at the gate, then scans the drivers face and looks for a match. When the A.I. identifies the driver, the gate opens and begins closing immediately after the car passes, to prevent follow throughs. All this occurs within a matter of a few seconds. If the A.I. does not recognize the driver, a security guard is alerted.
Behavioral & predictive analysis
The simplest way to explain behavioral & predictive analysis, is by using examples.
Judicial departments, e-commerce stores & credit institutions are using A.I. behavioral and predictive analysis to determine potential risks, e.g. the likelihood that a potential parolee will reoffend, which audience will respond better to the new campaign, the borrower's ability to repay the credit.
A.I. helps judicial departments to calculate the risk of a defendant. Main reason for the A.I. implementation is to prevent biased decisions. When calculating the risk A.I. takes into account factors, such as, the age at which the first crime was committed, marital status, crime history, gender, age, education, etc.
In the end AI system predicts possibility with what potential parolee could commit another violent crime.
Police department in Durham, UK have already implemented this technology and as BBC states:
“Low-risk forecasts were accurate 98 percent of the time and its high-risk forecasts were accurate 88 percent of the time.” - source
There is a common myth that AI is outrageously expensive. We bust that myth. Our solutions are unique to any specific task, developed and created by highly talented and unrivaled programmers. And our economics of location allow us to be highly cost effective and affordable.
As an example, a client came to us with a dilemma:
a) buy a new manufacturing line that would cost over a million euros
b) find a way to make the existing line more efficient and improve quality of product.
We created an A.I. solution whose implementation was a tenth of the cost of a new line, and additionally brought down the cost of running the line.
Our A.I. runs their machines. Better than a human can, it works around the clock, never gets sick, and never asks for a raise. And best of all, every minute of every day it “teaches itself” how to perform the process better.