Convergence Of Cloud Computing, Internet Of Things, And Machine Learning: The Future Of Decision Support Systems
The objective of this research was to develop a framework for understanding the Convergence of Cloud Computing, Machine Learning, and Internet of Things as the future of Decision Support Systems. To develop this framework, the researchers analyzed and synthesized 35 research articles from 2006 to 2017. The results indicated that when the data is massive, it is necessary to use computational algorithms and complex analytical techniques. The Internet of Things, in combination with the large accumulation of data and data mining, improves the learning of automatic intelligence for business. This is due to the fact that the technology has the intelligence to infer and provide solutions based on past experiences and past events.
In the last decade of the proliferation of the World Wide Web, there has been a shift from normal human combat warfare to electronic warfare, where a person with a computer can do more damage to the infrastructure of a country than thousands of soldiers. The amount of data, intelligence, and damage generated by such warfare is astronomical. This type of warfare requires artificial intelligence and Expert Systems to go to the forefront of the battlefield in order to analyze data and trends to identify potential attacks and provide countermeasures to such attack. AI has put in a new perspective how Decision Support Systems (DSS) improve defense. DSS implemented today are in place to stop and deter in the shortest possible amount of time a cyberattack, and assist cyber defenders in finding the correct response.
Dr. Gilberto Crespo is an information security researcher & technology expert.