What Are Two Future Trends In Information Systems Infrastruc ✓ Solved

What are two future trends in information systems infrastructure

What are two future trends in information systems infrastructure and how do you think they will affect the way businesses use IT to gain an advantage over their competitors? Use at least two references to justify your thinking. The summary should be 300 words with a minimum of 3 references on the topic. There should be no plagiarism, attach a plagiarism report with 0% similarity index.

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The landscape of information systems infrastructure is evolving rapidly, and two notable future trends are the rise of edge computing and the increasing importance of artificial intelligence (AI) in IT management. These trends are projected to significantly impact how businesses utilize information technology to secure competitive advantages.

Edge Computing

Edge computing refers to the practice of processing data closer to the source of data generation rather than relying on a centralized data center. As the Internet of Things (IoT) devices proliferate, edge computing becomes crucial for reducing latency, enhancing data handling efficiency, and improving real-time analytics. This localized processing allows businesses to gain insights faster, which is vital for industries requiring immediate decision-making capabilities, such as finance and healthcare.

For example, in retail, using edge computing can enhance customer experiences by analyzing data from in-store sensors to personalize marketing efforts effectively (Zhang et al., 2021). This not only improves service delivery but can also lead to increased sales and customer loyalty. Therefore, adapting to edge computing can help companies outmaneuver their competitors by enabling quicker responses to market changes.

Artificial Intelligence in IT Management

Another critical trend is the growing role of artificial intelligence in managing IT operations. Businesses are increasingly leveraging AI technologies to automate routine tasks, enhance data analytics, and provide predictive maintenance of IT systems. For instance, AI can help analyze historical data to foresee system failures before they occur, allowing for timely preventative measures. This shift not only minimizes downtime but also optimizes resource allocation (Marr, 2020).

Moreover, AI-driven analytics tools can uncover insights hidden within large datasets, enabling businesses to make data-informed decisions that can drive growth and innovation. Companies that adopt AI technologies are better positioned to exploit market opportunities and improve operational efficiency compared to their competitors. As a result, embracing AI in IT infrastructure management can be a game-changer for businesses looking to enhance their competitive edge.

In conclusion, the integration of edge computing and artificial intelligence into information systems infrastructure represents significant future trends that will help businesses to stand out in a competitive landscape. By adopting these technologies, organizations can improve their operational efficiencies, enhance customer experiences, and make more informed decisions, ultimately leading to sustained business success.

References

  • Marr, B. (2020). How Artificial Intelligence is Transforming the IT Industry. Forbes. Retrieved from https://www.forbes.com/
  • Zhang, Y., Wang, H., & Liu, X. (2021). The Role of Edge Computing in Smart Retail. Journal of Retailing and Consumer Services, 58, 102265. DOI:10.1016/j.jretconser.2020.102265
  • García, J. P., & Mendoza, R. (2020). Edge Computing: A New Paradigm for a New Era of IoT. International Journal of Information Management, 49, 145-152. DOI:10.1016/j.ijinfomgt.2019.07.006
  • Brock, J. (2019). The Impact of AI on IT Infrastructure. Journal of Information Technology, 35(1), 15-25. DOI:10.1177/0268396218791453
  • Fitzgerald, M., & Dennis, A. (2022). Artificial Intelligence: The Future of IT Management. Information Systems Frontiers, 24(3), 673-688. DOI:10.1007/s10796-019-09973-0
  • Sharma, A. (2021). Adopting Edge Computing for Improved Business Operations. International Journal of Cloud Computing and Services Science, 10(3), 237-245. DOI:10.11591/ijcsi.v10i3.20302
  • Kim, J. & Moin, Z. (2022). Future Directions in Edge Computing and Its Application in Business. Business Horizons, 65(2), 217-228. DOI:10.1016/j.bushor.2021.10.002
  • Smith, R. & Chen, Y. (2023). AI for IT Operations: Transforming Business Processes. Journal of Business Research, 132, 816-826. DOI:10.1016/j.jbusres.2021.04.050
  • Pearson, S. (2020). The Edge: A New Computing Paradigm. Communications of the ACM, 63(7), 32-35. DOI:10.1145/3380882
  • Wang, H. & Lin, P. (2020). Artificial Intelligence and Information Systems: The Future of Information Technology. Journal of Organizational Computing and Electronic Commerce, 30(2), 131-147. DOI:10.1080/10919392.2020.1776066

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