Citation :

Manoj Kumar, 2023. "The Future of AI in Big Data: Cloud Platforms are Evolving to Support Machine Learning and Analytics" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 1: 128-135.

Abstract :

The rapid evolution of cloud platforms has really transformed the way in which AI and Big Data applications are being developed, deployed, and then scaled. This article looks at how innovation is happening with cloud platforms to support AI-driven analytics and machine learning at scale. The key improvements include real-time data processing capability, dynamic auto-scaling to optimize resources, and an increase in the capability of machine learning tools that enable organizations to derive actionable insights from massive datasets. Cloud computing platforms leverage all these features, such as serverless computing, distributed storage, and advanced data analytics, to enable a wide array of new and more efficient business solutions at cost-effectiveness. None of these advancements only bring improved decision-making but also point the way to more intelligent, adaptive, and robust applications. The paper focuses on the use cases, key technologies, and future trends of this ever-evolving ecosystem; hence, cloud platforms are expected to play a major role in shaping the future of AI and Big Data.

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Keywords :

Big Data, Cloud Platforms, Machine Learning, Real-time Processing, Scaling Automatically, Advanced Analytics, Decision-making, Serverless Computing, Distributed Storage.