Do you think AI, Data, Machine and Holiday are things we cannot think of together?
How would it feel to receive an AI-structured congratulatory message? A longer Christmas holiday with a production or shipping chain programmed with machine learning? Or, if we broaden our horizons a little more, to be able to quickly identify and even buy gift suggestions suitable for all your loved ones’ likes and wishes with a voice assistant such as Siri or Google Assistant?

While time offers us brand new applications and transformations in AI and machine learning, it also offers us a chance to reflect on the established customs and traditions of traditional life. As IQ Motion, we use our skills in the field to help companies leverage all of the potential that AI technology has to offer. Also, through data science, we help solve the toughest data challenges to improve operational intelligence and increase business efficiency. 

What will all this data continue to offer us?

Is artificial intelligence (AI) going to be in demand in the future?

Pursuing a machine learning job is a solid choice for a high-paying career that will be in demand for decades. Industries that are already using AI and machine learning predominantly include healthcare, education, marketing, retail and e-commerce, and financial services. 

What jobs will AI not replace?

In its current phase, or in other words, in 2022, AI can only perform repetitive activities that follow the same rules over and over. Some roles that will not be replaced by AI in the near future include psychologists, caregivers, most engineers, human resource managers, marketing strategists, and lawyers. In the long run, AI may be able to replace some of these occupations, but there are still some tasks that require far too much judgment and decision-making power for machines to perform. AI is still far from being able to replace humans in many occupations, particularly those requiring creativity, critical thinking, and social skills.

Which is easier: AI or data science?

In case you are new to these technologies, it is strongly advised that you pursue a career in data science because it is very easy to learn and offers millions of options to transition to data science jobs. Despite the fact that data science is very simple to comprehend, it is critical to be updated about trends and keep up with new tools and technologies. Data scientists must be rigorous in studying new knowledge and updating their abilities in order to keep up with the ever-changing technological scene. 

How is AI used in data science?

AI-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn’t. AI can also deep dive into data analytics about your customers and offer predictions about consumer preferences, product development, and marketing channels.

Will AI take away data science jobs?

As A.I. automates lower-level data processing, data engineers will need to transition into data science. Even among data scientists, only the most junior have received extensive deep learning training. As technology progresses, data scientists’ skill sets will be rendered obsolete in 12 to 18 months.

Although AI, Data, Machine and Holiday are words that can’t come together for now, we will be hearing a lot about them in the very near future.