As the number of internet-connected sensors continues growing due to increased applications in cars, planes, buildings, and home devices, businesses generate vast amounts of data. According to a study, there will be more than 50 billion IoT devices in the world by 2025. This is up from 9 billion in 2017. With this significant rise in data, tapping it to extract useful information is becoming a big challenge that traditional methods cannot meet. This is where machine learning (ML), one of the subsets of artificial intelligence (AI), comes into place.

Artificial Intelligence is already impacting the world in many ways. Many scientists have even compared it to the discovery of fire, although most of them differentiate the two on the creativity they need. While AI was a preserve of a few AI researchers and digital companies such as Google, Amazon, and Microsoft, that is no longer the case. AI has entered almost every industry, with nearly everyone now affected by this technology. Machine learning is one of the subsets of AI. It is based on algorithms that allow systems to learn on their own without relying on humans. 

Artificial Intelligence (AI) has been hailed as a revolutionary technology that will take the world to new heights. Experts claim that AI will revolutionize almost every industry and make human work easier, efficient, and less costly at the same time. Unlike the talks a decade ago where AI was just science fiction in Hollywood movies, this decade is becoming an era characterized by AI-driven automation and autonomous systems such as cars and other systems. With all these advantages, this technology is not without its drawbacks.