The combination of Cloud Computing and AI in Powering Intelligent Systems

The combination of AI technology with cloud computing services generates efficient and intelligent systems that operate in different market sectors.This beneficial relationship enables organizations to use cloud infrastructure and AI analytics to achieve clear data insights from large datasets.This research investigates AI-cloud computing system partnerships to advance intelligent system innovation while offering solutions for various application-related issues.Artificial intelligence evolution in modern technology has substantially impacted all fields of science to capture widespread interest from researchers and professionals.Modernization throughout the healthcare and transportation sectors has become significant because AI technologies have evolved and been extensively implemented.New research activities have seen accelerated growth because AI delivers transformative industrial potential and increased operational efficiency, producing innovative business applications.AI grows at an unmatched pace since it establishes the direction toward a civilization where AI technology plays a critical role in economic expansion and societal progress.AI has become widely adopted since it can execute cognitive operations, which include reasoning alongside perception and learning problem-solving and decision-making functions.Such features enable AI systems to resolve intricate problems, resulting in outputs outside human reach.Machine learning acceptance has been facilitated by advances in integrated circuits while

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Publication Details

Journal
International Research Journal of Education and Technology (IRJET).
Published
2024-11-29
DOI
https://doi.org/10.70127/irjedt.vol.7.issue03.2176
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

The combination of Cloud Computing and AI in Powering Intelligent Systems

Soumyasri indrala
International Research Journal of Education and Technology (IRJET).
Smart Grid and Power Systems
article

The combination of Cloud Computing and AI in Powering Intelligent Systems

Soumyasri indrala
article en

Abstract

The combination of AI technology with cloud computing services generates efficient and intelligent systems that operate in different market sectors.This beneficial relationship enables organizations to use cloud infrastructure and AI analytics to achieve clear data insights from large datasets.This research investigates AI-cloud computing system partnerships to advance intelligent system innovation while offering solutions for various application-related issues.Artificial intelligence evolution in modern technology has substantially impacted all fields of science to capture widespread interest from researchers and professionals.Modernization throughout the healthcare and transportation sectors has become significant because AI technologies have evolved and been extensively implemented.New research activities have seen accelerated growth because AI delivers transformative industrial potential and increased operational efficiency, producing innovative business applications.AI grows at an unmatched pace since it establishes the direction toward a civilization where AI technology plays a critical role in economic expansion and societal progress.AI has become widely adopted since it can execute cognitive operations, which include reasoning alongside perception and learning problem-solving and decision-making functions.Such features enable AI systems to resolve intricate problems, resulting in outputs outside human reach.Machine learning acceptance has been facilitated by advances in integrated circuits while

International Research Journal of Education and Technology (IRJET).Vol. 6(11)
Sri Ganapathi Sachchidananda Vagdevi Center (IN)
Affordable and clean energy
Openalex Percentile: Top 73%
Smart Grid and Power Systems
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The combination of Cloud Computing and AI in Powering Intelligent Systems — Soumyasri indrala · International Research Journal of Education and Technology (IRJET). (2024) | TGRS Research Map | TGRS