2. We are entering an era when, more than ever, data science is becoming a team sport. It’s no longer about building a model; it’s about what you do with the model once you have it.

At a time when we are all too familiar with the concept of supply chain shortages, businesses face another type of shortage. It's one that involves a lack of human ingenuity around data science.

Here are four predictions for data science in the new year and how businesses can take advantage of them. ... we will see further standardization in areas like ML operations and feature stores for ML.

The relevance of data science extends beyond far tech companies. Thank you for reading Nation.Africa Show plans You have probably not heard much about it but no discipline currently holds more promise ...

Artificial intelligence can analyze registry data on people's residence, education, income, health and working conditions and, with high accuracy, predict life events. Artificial intelligence ...

Astrological predictions traditionally rely on birth charts, which include data about the time, date, and location of an individual’s birth, combined with current planetary movements.