Data science vs artificial intelligence are two amazing technologies that are taking the world by storm. To differentiate the duo, we have to go through its scope, applications, and career options.
On a normal day, we come across the buzzwords ‘artificial intelligence’ and ‘data science’ at least once. Whether we agree or not, both technologies have made a significant impact on our lives. They are the most important technologies that we prefer to imply in our routine. However, the combat on data science vs artificial intelligence is never-ending.
To begin with, data science and artificial intelligence are totally different. Data science makes use of artificial intelligence at times, but it doesn’t completely represent AI. Even though they fall under the same domain and are connected to each other, they have their specific applications and meaning. Both are popular and sought-after technologies that have their own sets of concepts and applications. Of course, they have some common topics and times, but they may overlap. In this article, we are going to convey the possible differences in data science vs artificial intelligence by knocking on its applications, scope, jobs, etc. We also take you through career options like data scientist and artificial intelligence engineer to state the job difference.
For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts.
In the digital era that we live in, data has become the biggest and most valuable asset for most organisations. Data is rapidly transforming the way we live and communicate, and it is by collecting, sorting and studying this data, that organisations across the world are looking for ways to impact their bottom lines. In this post, we'll learn Data Science vs Big Data: Difference Between Data Science & Big Data.
Data analytics vs data science, the two sides of the technology are fighting over dominance. Even though both are very important trends in the digital sphere, people can’t choose both at a time.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
Data Science and Artificial Intelligence Is Revolutionizing The Sports Industry. Data science in the sports industry offers sports data analytics. AI and machine learning models can help evaluate individual player performance, team performance, and help teams make decisions that will result in more wins.