Machine learning and artificial intelligence are fast becoming common in many organizations today. Owing to their capability to turn around fortunes for businesses, many organizations have implemented machine learning projects in different areas of their operations. When it comes to estimating the cost of machine learning projects, many enterprises often face difficulties. However, this should not be the case. Estimating the cost of such a project should be straightforward if done procedurally. In a world where technology is highly in demand and dynamic, requirements often change midway through the project. This leads to development and feature changes, integration issues, and many others.

As organizations, governments, and learning institutions struggle with the ransomware attacks, which are increasing by sophistication and number in the age of cryptocurrency, Artificial Intelligence (AI) is proving to be the potential technology to counter this menace. Many firms and agencies are turning to AI to hasten the process of detecting and stopping malware from spreading. The timing on the advancement of AI couldn’t have come at a better time. With the increase in cyberattacks over the recent years, most of which are perpetrated by state-sponsored actors, it is clear that new and better defenses are needed, and they are emerging. We have artificial intelligence to thank due to its potential to improve scanners and quickly determine suspicious files and viruses. 

Machine learning has indeed grown over the past decade into a game-changer for many businesses and enterprises. For this reason, it has been tailored to solve numerous problems and offer solutions for data scientists in different areas. As machine learning technology matures up from the hype cycle into a more comprehensive and valuable technology that can address many issues today, we will see more developments in 2021 and beyond. The people in the technology sector will seek to entrench it into many aspects of human life. This technology is expected to grow during the decade with no signs of slowing down. Like the other software development areas, machine learning is increasingly attracting increasing attention. The Machine Learning-as-a-service (MLaaS) is one of the new areas that is coming out strong.