What does Data Science mean?
Data science is the field of study that combines domain expertise, programming skills, and knowledge of math and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems that perform tasks which ordinarily require human intelligence. In turn, these systems generate insights that analysts and business users translate into tangible business value.
Why is Data Science important?
More and more companies, including but not limited to major enterprises, are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
Data Science + DataRobot
Ramping up data science efforts is difficult even for companies with near-unlimited resources. The DataRobot automated machine learning platform democratizes data science and AI, enabling analysts, business users, and other technical professionals to become Citizen Data Scientists and AI Engineers, in addition to making data scientists more productive. It automates repetitive modeling tasks that used to take up the vast majority of data scientists’ time and brainpower. DataRobot bridges the gap between data scientists and the rest of the organization, making enterprise machine learning more accessible than ever.