Data science practitioners work with complex technologies such as:
Artificial intelligence: Machine learning models and related software are used for predictive and prescriptive analysis.
Cloud computing: Cloud technologies have given data scientists the flexibility and processing power required for advanced data analytics.
Internet of things: IoT refers to various devices that can automatically connect to the internet. These devices collect data for data science initiatives. They generate massive data which can be used for data mining and data extraction.
Quantum computing: Quantum computers can perform complex calculations at high speed. Skilled data scientists use them for building complex quantitative algorithms.