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Digital Alchemy: Transforming Massive Data Streams into Actionable Insights through Advanced AI-Powered Software Systems

© 2024 by IJACT

Volume 2 Issue 4

Year of Publication : 2024

Author : Devisharan Mishra

:10.56472/25838628/IJACT-V2I4P110

Citation :

Devisharan Mishra, 2024. "Digital Alchemy: Transforming Massive Data Streams into Actionable Insights through Advanced AI-Powered Software Systems" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 4: 68-80.

Abstract :

Decision makers have realized how important real-time processing and analysis of large volumes of data is in the current dynamic technological environment for every field. This change is known as ‘digital alchemy’ and is in operation through the use of highly developed artificial intelligence software tools to analyze raw data into business intelligence. This paper specifically examines the processes for such a change, discussing technological support, machine learning algorithms, data preparation processes, and AI applications for real-time analysis. The emphasis is on how these systems can enhance business intelligence, operations, and opportunities by raising the decision-making and automation levels. Through artificial intelligence systems, great volumes of data can be processed in real-time, providing business tools to forecast trends and outliers for different business areas such as finance and health care. These systems employ different categories of machine learning, such as supervised and unsupervised, deep learning networks and natural language processing to make sense of the structured and unstructured data. More recently, the ubiquity of cloud computing makes data processing in general and the use of AI solutions scalable, relatively affordable, and flexible. This paper also examines the main issues regarding such systems’ implementation, data integrity issues, scalability, and the ethical implications of AI. The use of AI at the operational level is not only an increase in productivity results but also the adaptability of companies to market and operational risks, as well as a shift in customers’ preferences. Using current use cases in the real world and understanding the changes that have occurred in the application of AI in data processing, this paper effectively shows the important role of present AI computing systems in converting large data flows into valuable and actionable resources. Proposals for further developments and focuses on the proper use of AI technologies conclude the analysis.

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Keywords :

Digital Alchemy, Massive Data Streams, Machine Learning, Business Intelligence, Cloud Computing, Ethical AI.