Lee Davis is a tech analyst who has been covering the document imaging industry for over five years. Currently, Lee is the Associate Director of Software and Scanners at Keypoint Intelligence, where ...

Data science aims to explore large amounts of structured and unstructured data sets – ‘big data’ – to design models and algorithms which can predict trends and guide decision-making. This field ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...

What’s the difference between a data scientist and a data engineer? Quick access to the data-driven insights keeps the world’s best companies at the top of their game. But that data doesn’t just ...

There’s a reason many of the most widely viewed sitcoms rely on miscommunications and misunderstandings. These concepts hit close to home — they’re funny, but most of all, they’re universal ...

In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a look into Blockchain technology and what it means for the data scientist. When you hear ...

If we were to look at the data science job market today, recent opportunities with the Royal Household, the England Rugby team and writing algorithms for a quantum computer tell us that demand hasn’t ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Eugenio Zuccarelli, an innovation data scientist at Rhode Island-based ...

Do data scientists really spend 80% of their time wrangling data? Yes and no. The implication is clear: if this stat is accurate, then the burden of provisioning data for their models impedes data ...