Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data.

Big data analytics give businesses the opportunity to get ahead by thinking and acting dynamically. However, there’s a widely held misconception among small business owners that big data is suitable ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new artificial intelligence tools designed to help them build the next generation of AI ...

Microsoft’s cloud-hosted data lake and lakehouse platform gains new data science tools and opens up Power BI datasets to Python, R, and SparkSQL. The modern enterprise is powered by data, bringing ...

Generative artificial intelligence (gen AI) is paving the way for everyone to become their own software developers. But at the same time, AI may render many extraordinary skills unnecessary. That's ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices. But data ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Data science will drive innovation across an astounding variety of disciplines, from ecology to political science, attendees were told at the Delaware NextGen Data Science Symposium, organized and ...

In this special guest feature, Matthew Mahowald, Lead Data Scientist and Software Engineer for Open Data Group, shares his perspectives on how the speed at which tech and tools have been developed, ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...