There is a broad scope of opportunities for AI and ML that can magically transform the world by improving customer service experience and minimizing efforts.
Even the travelers have shown equal enthusiasm to adopt these technology advancements as it makes their travel experience simpler and enjoyable.
Artificial Intelligence, also known as Machine Intelligence is a byproduct of computer science emphasizing on designing intelligent machines that can function and react like humans.
The technical definition of AI is performing various activities with machines bypassing any human intervention.
Apart from speech recognition, private messaging and other tasks, AI also helps businesses to offer personalized experiences to the customers by providing personalized product recommendations.
Airbnb and Uber are the perfect examples of advanced technology that have revolutionized the traditional means of travel.
It was the main reason for dispute and worry for all the Information Technology industries till mid-2010.
But now the focus had been shifted towards processing of this data.
In layman words, Data Science is something which involves some programming skills, some statistical appearance, and some visualization techniques but yes, a lot of business sense.
Creating some cool visual is neither the end goal nor the beginning part of how a data scientist works.
By 2022, more than 75 % of the data will be encrypted and unstructured.
Based upon this data, it takes its own decisions like when to increase speed , when to decrease speed , when to overtake other vehicles, where to take a turn – making accurate use of machine learning algorithms.
Of course, these candidates practically don’t exist, nor do they necessarily make strong team members.
As data science teams have grown, businesses have moved away from trying to find that one person to fill different roles; instead, companies have realized the benefits of hiring employees with specialized, complementary skills.
Data scientists are still in high demand.
It seems that no industry is immune to this data scientist shortage, as global companies continually seek qualified talent.
Bob Rogers, the chief data scientist at Intel’s Big Data Solutions, recognized this change back in 2015.
“But, in any company, you won’t find just one data scientist doing it all—just like Michael Jordan couldn’t have scored so many points without Scotty Pippen at his side, data scientists all bring their own skills to the table that together build an ideal team.”
