AI-Driven Decision Support Systems: The Role Of High-Speed Storage And Cloud Integration In Business Insights

Abstract

Many organizations are embracing AI as an attempt to replace or augment human decision-making with AI-driven decision support systems. These systems hold the potential for faster, more consistent, and more informed decisions. While many organizations are still scanning through their first AI and machine learning systems, new waves of innovation have arrived, such as high-speed storage efficiencies and effective ways to connect and integrate computation with storage in the cloud. By leveraging these innovations, it is possible to develop large-scale data analytics in real-time. Such technologies, however, need to be investigated, and early successes and failures reported for investments and achieving insight into the business decision-making process.
The findings show how new technologies and novel methodological procedures can be successfully used together to support business insights. These insights appear in the delivery of basic performance measures at the firm’s whole and departmental levels, impacting the everyday operations of the firm. High-quality storage systems with rapid access to data have always been the cornerstone of high-performance computing in data centers. The development of new technologies has greatly reduced the cost of implementing and utilizing this storage. Additionally, connecting advanced ML models with such storage and using them commercially to speed up decision-making in organizations is still a rare undertaking. This paper aims to demonstrate both what is possible and where the opportunities are emerging in this new frontier.