Here’s what to know about a data scientist vs. a data engineer — and how they work together.
Facial recognition technology offers security and convenience in manufacturing, retail and hospitality.
A commitment to transparency, fairness and accountability can keep it from popping.
Data science requires a range of sophisticated technical skills. Don’t let that expertise get in the way of critical thinking, though, or you could end up doing more harm than good for your business partners.
As you search for a data scientist, determine which will provide the most value to your company right now.
To succeed, you must develop a true understanding of your users’ desires so you can engage and serve them best.
Is “analytics translator” a title or a skill set? Yes.
Data scientists can’t rely only on assumptions, models, and numbers to understand the choices users make.
The new analytics “superpower” is everywhere. But who should make the transition? And how?
The basic skills you need to be a data scientist may stay the same but the most effective tools are always changing.
