Machine learning and artificial intelligence have been the leading topics of discussion in 2020. The coronavirus pandemic has made these technologies highly crucial than before, as they have shown the potential to help in many ways. Machine learning is now the driving force behind multi-billion industries such as medical diagnostics companies and autonomous vehicle companies, among others. With this immense potential, almost every industry is investing in it. Here are some trends that you should expect in 2021 going forward.

Artificial intelligence (AI) has evolved into one of the most advanced technologies that can be used in different industries for different things. A decade ago, when enthusiasts first talked about the potential of this technology, many laughed it off as just another fantasy and dreams that would never succeed. As we speak today, countries are trying their best to be the leaders in this area. It is the hottest buzzword in business circles and among governments as it is quickly proving to be a critical lynchpin of the digital transformation and automation that many players are seeking to take advantage of to reduce the cost of doing business and increase effectiveness.

Machine Learning and Artificial Intelligence (ML and AI) have become some of the most talked about technologies in the recent years. This has been occasioned by the prominence that these technologies have gained and the advancements in this area. As such, big tech companies such as Google, Microsoft Azure and Amazon are the leaders in this area, having developed different ML platforms. While AI and ML may appear to be alien terminologies to many, we have been experiencing it without us even being aware of it. Some of the areas that you might have come into close contact with this technology are in image tagging by Facebook as well as spam detection by email providers. For Facebook, for example, uploaded images are tagged automatically using face or image recognition algorithms while email providers such as Gmail use ML to recognize patterns or selected words then filter spam messages accordingly. Now let us look at some problems that arise from machine learning.