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NO OUT-OF-THE-BOX THINKING
Machines may have the ability to learn and get better
than humans with tasks if coded and designed to do
so, but when encountered with new situations which First ever RPA
they are not programmed for, they tend to crash or
give unusual outputs.
DOMAINS OF ARTIFICIAL INTELLIGENCE
The three domains of AI explain how it carries out complex tasks and what its capabilities are.
Let us discuss each of these.
DATA
The starting point of every application is data and it is the foundation of Artificial Intelligence.
Data is all around us, be it a google search, a passport scan or an online shopping history, all of
this contains data that is collected, analysed, and monetised. Data is not just collected but also
properly formatted and aligned with the project requirements.
Some examples of AI applications based on data are as follows:
Weather prediction models using AI need data such as temperature, humidity and all underlying
patterns that impact weather.
AI is used in the prediction of upcoming customer orders for the next season. This enables retailers
to plan the inventory and purchases which helps them predict and control the cost.
The software that controls vehicles works with the control radar system, lane control feature,
accident avoidance features, cameras, GPS, etc. All these technologies are AI based and rely
on data to function.
Companies like Google, Facebook and Amazon are ruling the world because they were the first
to build data sets. Amazon already knows what the customers are going to buy and all of this
has been possible because of predictive analytics and tons of customers’ data.
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