Artificial Intelligence (AI) is the ability of a computer to think and act like humans. For a computer to have such capabilities, they require human intelligence and discernment (Petrovic, 2018). The advancement in technology has given computers different abilities, such as those seen in robots. Programmers can train computers to think and do all that humans do. Artificial Intelligence has been used in various industries and corporations due to its numerous capabilities. Enterprises have used artificial intelligence to improve sales performance through the help of sophisticated algorithms with analytic capabilities (Deng et al., 2020). Marketers also use AI to improve their efficiency through targeting and optimizing the impact of considerable investments in media, digital channels, content, and products. AI has also shown potential in computer vision and imaging and application in Natural Language Processing. Based on the numerous applications, AI has various possibilities in the world. 

Artificial intelligence can detect threats imposed on networks and vulnerability surveillance. According to Alladi et al. (2021), cyber-crime damage as per the 2021 report was more than $6 trillion annually. This tremendous amount of damage requires automated systems that can detect and flag such malicious activities. AI has been used to provide faster means to detect and identify such cyber threats. Cybersecurity companies have developed software that incorporates AI to automatically monitor and scan data files to recognize communication attempts that threaten individuals and organizations (Alladi et al., 2021). AI has also been able to cover the cloud, data centers, enterprise networks, and the internet of things to provide valuable reports to forensic analysts for cybersecurity implementation. 

AI has been implemented in chatbots to improve customer service in various organizations. The AI-enabled chatbots are essential in sales and customer service. It helps companies serve their customers and improve support experience, which is a way to improve communication across the globe. Earlier chatbots were limited in their capabilities to communicate and engage customers effectively (Petrovic, 2018). AI-power chatbots use machine learning algorithms and Natural Language Processing technologies to provide the ability to learn and interactively engage customers in a human-like conversation. Such advancements have made AI necessary in businesses and industries.  

Artificial Intelligence has massive potential in healthcare transformation. AI has impacted healthcare with its application spanning diagnosis, drug delivery, consumer health, and prognosis. Today, several AI applications are used virtual personal health assistants, wearable fitness technology, and telehealth applications (Petrovic, 2018). Machine Learning, Natural Language Processing, drug manufacturing, and Deep Learning have enabled the healthcare industry to prevent several illnesses considerably (Petrovic, 2018). Several aspects are analyzed to see the effectiveness of different components of a drug and its overall functionalities in the human body. Smart canes have been developed for the blind, pregnant women have benefited from tracking their gestation period and making life-saving decisions, and cardiac and respiratory conditions have been diagnosed and tracked by AI (Deng et al., 2020). Thus, much AI potential is available for healthcare systems. 

Therefore, AI has great potential in industry and other aspects of life. AI has been integrated into detecting threats imposed on networks and vulnerability surveillance, chatbots, and healthcare transformation. The future of this technology is expected to expand in all other industries to make the world a better place. Including more applications, AI has been a game-changer in automation and increased performance in the world.

Reference

Alladi, T., Kohli, V., Chamola, V., Yu, F. R., & Guizani, M. (2021). Artificial intelligence (AI)-empowered intrusion detection architecture for the internet of vehicles. IEEE Wireless Communications, 28(3), 144-149.

Deng, S., Zhao, H., Fang, W., Yin, J., Dustdar, S., & Zomaya, A. Y. (2020). Edge intelligence: The confluence of edge computing and artificial intelligence. IEEE Internet of Things Journal, 7(8), 7457-7469.

Petrovic, V. M. (2018). Artificial intelligence and virtual worlds–toward human-level AI agents. IEEE Access, 6, 39976-39988.