Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...
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 ...
In this special guest feature, Kumaran Ponnambalam of Transera provides his views on the distinction between traditional data analysts and the newer designation of data scientist. Kumaran is Director ...
Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...