The evolution of AI

AI is not a new field of knowledge. In fact, the technology is a result of decades of innovation and research. However, its implementation in previous decades was a challenge for the following reasons:

1. Cost: AI experiments were costly in nature and there was no cloud technology. All the infrastructure was either purchased or hired from a third party. Experiments were also time-consuming to set up and immense skills were needed to get started. A large amount of storage and compute power was also required, which was generally missing in the community at large and held in the hands of just a few.
2. Lack of data: There were hardly any smart handheld devices and sensors available generating data. Data was limited in nature and had to be procured, which again made AI applications costly. Data was also less reliable and there was a general lack of confidence in the data itself.
3. Difficulty: AI algorithms were not documented enough and were primarily in the...