Artificial Intelligence and Data Science

Data Science and Artificial Intelligence are the two most important technologies in the world today. While Data Science makes use of Artificial Intelligence in its operations, it does not completely represent AI.

What is Data Science?

Data Science is the current reigning technology that has conquered industries around the world. It has brought about a fourth industrial revolution in the world today. This is a result of the contribution by the massive explosion in data and the growing need for industries to rely on data to create better products. We have become a part of a data-driven society. Data has become a dire need for industries that need data to make careful decisions.

What is Artificial Intelligence?

Artificial Intelligence is the intelligence that is possessed by machines. It is modeled after the natural intelligence that is possessed by animals and humans. Artificial Intelligence makes use of algorithms to perform autonomous actions. These autonomous actions are similar to the ones performed in the past which were successful.

Recently, many major technology giants like Google, Amazon, and Facebook are leveraging Artificial Intelligence to develop autonomous systems.

Future of Artificial Intelligence and Data Science?

According to Globe Newswire, the largest newswire distribution network worldwide, the global artificial intelligence (AI) market is anticipated to grow from USD 20.67 billion in 2018 to USD 202.57 billion by 2026. While the data science global market anticipates reaching more than USD 178 billion by 2025. Both data science and AI have been touted to be remarkable careers in the tech industry.

Data Science over the next few Decades

Data Science is predicted to grow over the next decade. It is a staggering fact that over 90% of the data in the world was generated in just 2 years. It is unimaginable to realize the amount of data that will be generated in the next decade. The demand for data scientists will rise by 28% by 2021 alone. More and more industries are becoming data-hungry and they need data to hold specialized data scientists who can craft products for the customers. About 11.5 Million jobs will be created by 2026 according to U.S. Bureau of Labor Statistics.