2 responses Aug 21

Artificial Intelligence

 

Technology plays a vital role in society today. With advancements in technology, significant technologies have been discovered and continue to be integrated into society. Significant examples of such technologies include artificial intelligence and machine learning. Artificial intelligence is defined as the act where simulations are conducted on machines in such a manner that allows the machines to undertake similar actions as humans. Artificial intelligence will enable machines to undertake actions that are similar to those conducted by humans. Machine learning is an advanced form of artificial intelligence, whereby systems can learn for themselves without having to be instilled new programs (Hutter et al., 2019). The machines will encounter problems and come up with measures to ensure that the next time such a problem occurs, it gets solved. The only difference exhibited by the two methods is that artificial intelligence may require updating information while the machine intelligence will not need advancements.

Machine learning is the future of cybersecurity. With the advancements in technology, it has been a challenge to ensure that information is kept safe. Significant break-ins of information have happened leading to loss of data, finances, and harmful litigations that led to significant effects such as the closure of institutions. Adapting the machine learning technology will be efficient to any given business enterprise. Machines being able to come up with new effective measures to curb threats is significant to any given institution.

Software developers will no longer need to have new updates for information to e safe at all times. Machine learning will ensure that computers understand what a threat is, ensuring that information is kept safe. Machine learning will act effectively concerning basic artificial intelligence futures (Geluvaraj et al., 2019). With machine learning, the software will be better positioned to realize breaches that may take significant amounts of time before being recognized. The speed in tackling new threats is a significant advantage that should thus be reasons as to why machine learning is the future as it will enhance cybersecurity.

The advancements in technology require the establishment of new measures to ensure that new threats are dealt with at all times. In conclusion, it is vital to integrate machine learning in any given organization. The advantages associated with machine learning highlights promise that will be efficient in dealing with cybersecurity threats.

References

Geluvaraj, B., Satwik, P. M., & Kumar, T. A. (2019). The future of cybersecurity: Major role of artificial intelligence, machine learning, and deep learning in cyberspace. In International Conference on Computer Networks and Communication Technologies (pp. 739-747). Springer, Singapore.

Hutter, F., Kotthoff, L., & Vanschoren, J. (2019). Automated machine learning: methods, systems, challenges (p. 219). Springer Nature.