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The big data and business analytics industry is witnessing several key trends shaping its trajectory. One prominent trend is the increasing adoption of real-time analytics. It has become increasingly crucial for businesses seeking to gain a competitive advantage in today's dynamic market environment. These capabilities allow organizations to analyze data as it is generated or received, enabling immediate insights and quicker responses to emerging trends, customer behaviors, and operational issues. Technologies such as in-memory computing and stream processing play pivotal roles in facilitating real-time analytics by processing and analyzing data rapidly and efficiently.
For instance, in June 2024, the Reserve Bank of India announced its adoption of Artificial Intelligence (AI) and Machine Learning (ML) analytics across various domains to establish state-of-the-art systems for real-time and high-frequency data monitoring and analysis. The initiative aims to pioneer advancements in data-driven decision-making and public policy formulation, emphasizing the importance of addressing ethical considerations and eliminating biases in algorithms.