The Role Of Scalable AI Models For Real-Time Analytics In Cloud Computing

Data management and analytics have been completely transformed by the emergence of cloud computing, which has made it possible for companies all over the world to implement scalable, economical, and effective solutions.Real-time analytics, when combined with scalable artificial intelligence (AI) models, has become a key component in revolutionising how businesses engage with data.The function of scalable AI models in real-time analytics inside the cloud computing space is examined in this research.It looks at how deep learning and machine learning models can be integrated with cloud platforms, talks about the problems and solutions of scaling AI for real-time processing, and assesses how these models affect operational effectiveness and decision-making.The goal of the article is to present a thorough knowledge of the synergy between scalable AI and cloud computing for real-time analytics by examining current trends, approaches, and case studies.

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-12-12
DOI
https://doi.org/10.53555/ajbr.v27i5s.4882
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role Of Scalable AI Models For Real-Time Analytics In Cloud Computing

Pravin Kumar
African Journal of Biomedical Research
Cloud Computing and Resource Management
article

The Role Of Scalable AI Models For Real-Time Analytics In Cloud Computing

Pravin Kumar
article en

Abstract

Data management and analytics have been completely transformed by the emergence of cloud computing, which has made it possible for companies all over the world to implement scalable, economical, and effective solutions.Real-time analytics, when combined with scalable artificial intelligence (AI) models, has become a key component in revolutionising how businesses engage with data.The function of scalable AI models in real-time analytics inside the cloud computing space is examined in this research.It looks at how deep learning and machine learning models can be integrated with cloud platforms, talks about the problems and solutions of scaling AI for real-time processing, and assesses how these models affect operational effectiveness and decision-making.The goal of the article is to present a thorough knowledge of the synergy between scalable AI and cloud computing for real-time analytics by examining current trends, approaches, and case studies.

African Journal of Biomedical Research
Openalex Percentile: Top 64%
Cloud Computing and Resource Management
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The Role Of Scalable AI Models For Real-Time Analytics In Cloud Computing — Pravin Kumar · African Journal of Biomedical Research (2024) | TGRS Research Map | TGRS