The Surge in AI-Powered Data Analytics Revolutionizing Business Intelligence
DOI:
https://doi.org/10.15662/IJEETR.2024.0606039Keywords:
AI-based Analytics, Business Intelligence, DE-Mocratizing Analytics, Predictive Modeling, Innovative Thinking, Prescriptive Analytics, Intelligent Automation, Hybrid/Sinuos Architectures, Data Sovereignty and Scalability, Anomaly DetectionAbstract
Through AI-based analytics, Business Intelligence is changing how organizations will be making decisions with unprecedented speed, and precision, and with actionability. Many organizations will be leveraging automation to provide Insight with significantly lower time to insight through the automation of data transformation, data cleansing, and data visualization activities using AI-based technologies such as machine learning and predictive modeling and discovering advanced patterns within large data sets. DE-Mocratizing Analytics through a self-service model provides Individuals in various Business units to analyze data independently which encourages innovative thinking and promotes a culture of Data-Driven Decision-Making. In addition to using prescriptive analytics and intelligent automation to enhance strategic planning and operational efficiency, companies will be using Hybrid/Sinuos architectures to achieve a proper balance of data sovereignty and scalability. Organizations will implement advanced governance frameworks to comply with laws/regulations and use Ethical AI, while Real-Time Anomaly Detection will improve security for all digital payment transactions. The integration of AI with Business Intelligence is changing how organizations use data to remain competitive.
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