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.

Cities worldwide are growing and the rising population is forcing them to reconfigure themselves for the purpose of sustainability in the future and enhancing the quality of life for every dweller.  This growth in population means taking advantage of renewable sources of energy, enhancing efficiency, and scaling up the use of electric transport modes. With the arrival of machine learning and artificial intelligence (AI), we are seeing new tools for ensuring efficiency in using resources around our cities. The growth of computing power in recent years, the availability of data, and the rise of effective algorithms have made AI one of the most valuable technologies in the 21^st century in managing various aspects within cities.

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.