Future of Analytics: Are AI and ML Going to Replace Analytics as We Know It?
Abstract: The accelerating adoption of Artificial Intelligence (AI) and Machine Learning (ML) is fundamentally reshaping how organizations derive value from data. Traditionally, analytics has focused on descriptive and diagnostic outputs, whereas modern AI/ML capabilities extend this to predictive and prescriptive applications. This paper investigates whether AI and ML are poised to replace conventional analytics or whether they are more likely to complement and augment it. By analyzing the state of AI/ML technologies, along with their integration into enterprise analytics workflows, we examine technical feasibility, organizational readiness, ethical constraints, and evolving skill requirements. The evidence suggests that while AI and ML significantly extend the reach of analytics, they are unlikely to replace human - in - the - loop decision - making in complex business contexts. Instead, a hybrid model that combines AI - powered automation with expert human judgment is emerging as the future of analytics.
Keywords: Artificial Intelligence, Machine Learning, Analytics, Augmented Analytics, Explainable AI, Data Science, Business Intelligence
How to Cite?: Gopal Krishna K Iyer, Kumrashan Indranil Iyer, "Future of Analytics: Are AI and ML Going to Replace Analytics as We Know It?", Volume 10 Issue 10, October 2021, International Journal of Science and Research (IJSR), Pages: 1667-1673, https://www.ijsr.net/getabstract.php?paperid=MS2110092859, DOI: https://dx.doi.org/10.21275/MS2110092859