Data Science AI/ML

Gartner has placed Generative AI at the ‘peak of inflated expectations’ on the hype cycle so FOMO on the AI wave is at an all time high. It does feel however that there is a lot of experimentation going on but a hesitancy to move to production. What are some of the reasons for this: […]

OK, I made up that headline, but how long before we start seeing headlines talking about AI leading to a negative or even catastrophic outcome. There is the obvious use case of an autonomous vehicle, but frankly we are using machine learning to make predictions, recommendations, and decisions in areas where the machine can perceivably

I still come across the terms data science, AI, ML among others being used interchangeably to mean the same thing. As data professionals it is important to define and educate so everyone can talk the same language. Data Science is the broad field of study that combines domain expertise, programming skills, data analytics and knowledge