AI in IS; How Is It Transforming Information Systems?

The global AI market is expected to reach $407 billion by 2027, growing at a 36.2% CAGR from 2023 to 2027.

Artificial Intelligence (AI) is restructuring the landscape of Information Systems, steering innovation, enhancing effectiveness, facilitating data-driven decision-making and optimizing operations throughout industries. By regulating day-to-day tasks, assessing massive data and gaining lessons from past actions, AI is transforming businesses operations, developing and employing information, especially revolutionizing the Traditional IS frameworks (Eboigbe et al., 2023).

How Is It Transforming Information Systems?

Data Management: Managing huge data manually? This seems like a recipe for chaos. AI to the rescue! With its advanced data-driven potentials, AI refines how data is gathered, managed, and evaluated. Machine learning algorithms dive deep into organized and unorganized data, discovering trends and patterns that were initially inaccessible (Whig, 2021). It is helping organizations in predicting future patterns, improving day-to-day procedures and staying upfront in an ever-varying digital landscape. It’s like having a crystal ball—except it actually works and enables firms to make data-driven decisions and remain competitive. 

Automated Processes: Let’s be truthful —no one likes mind-dazing jobs like data entry or never-ending report making. AI-driven automation, especially Robotic Process Automation (RPA), takes on these recurring tasks ensuring speed and precision (Marr, 2020). The key part? This is not about efficiency only; it is about retrieving time for innovation and policy. With AI managing all the tasks, human ability can be utilized for more effectual contributions. More robots performing robotic activities & less mechanized work for humans—just how it should be! And, if AI can handle my emails also, I would be unbeatable.

Cybersecurity & Compliance: Cybercriminals are becoming sharper; however, AI is going a step ahead. By checking networks, evaluating behaviors, and perceiving suspicious events, before they turn to cyber nightmares, AI is transforming security standards (Sarker et al., 2021). Additionally, AI assists industries to maintain compliance by looking into audit trails and securing data veracity (Kingston, 2017). Staying protected without any headache? Ahh, that’s possible now. If AI can keep my passwords safe, I’m all in! and that’s called a win-win situation.

Intelligent Decision-Making: Ever wished decision-making with an in-built assistant? Now, its all possible with AI. Decision Support Systems (DSS) driven by AI assess various settings, and comes up with the best suitable solutions (Duan et al., 2019). Industries— like Finance, SCM, healthcare etc., — where accuracy is the key, has gained enormous benefits from AI. It assists in cutting down human faults and assists in effective decision-making. It works like an ultra-intelligent mentor that never takes any tea break. I wish, I could ever say the same thing for myself!

System Efficiency: AI not only works behind the scenes, but its also enables smooth functioning of systems. Predictive Maintenance assures that potential issues are identified before they become failures, reducing disruptions and excessive fixing costs (Kamel, 2022). It also regulates resources allocation, ensuring systems perform at their best. Industries using AI deliver quick and accurate services, making its end- users happy and improving their overall user experience. And, who does not like an efficient, stress-free experience?

AI is revolutionizing Information Systems in a way we would never have imagined. From transforming data management to powering manual tasks, enhancing cybersecurity, and allowing effective decision-making, AI is the game-changer industries want. As AI continues to grow, its role in IS will evolve too, developing a future where effectiveness, security, and innovation go hand-in-hand. So, belt up—the AI-driven future of Information Systems is here! 

References:

Eboigbe, E. O., Farayola, O. A., Olatoye, F. O., Nnabugwu, O. C., & Daraojimba, C. (2023). Business intelligence transformation through AI and data analytics. Engineering Science           & Technology Journal, 4(5), 285-307.

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in        the era of Big Data–evolution, challenges and research agenda. International journal of         information management, 48, 63-71.

Kingston, J. (2017). Using artificial intelligence to support compliance with the general data     protection regulation. Artificial Intelligence and Law, 25(4), 429-443.

Kamel, H. (2022, July). Artificial intelligence for predictive maintenance. In Journal of Physics:          Conference Series (Vol. 2299, No. 1, p. 012001). IOP Publishing.

Marr, B. (2020). The intelligence revolution: transforming your business with AI. Kogan Page     Publishers.

Sarker, I. H., Furhad, M. H., & Nowrozy, R. (2021). Ai-driven cybersecurity: an overview, security      intelligence modeling and research directions. SN Computer Science, 2(3), 173.

Whig, P. (2021). Artificial intelligence and machine learning in business. International Journal on       Integrated Education, 2(2), 334128.