AI AND THE NEW STANDARD OF LIVING PERSONALIZED, PREDICTIVE, AND POWERFUL

Main Article Content

Sukruthi Reddy Sangannagari

Abstract

Artificial intelligence (AI) can transform our existence by offering personalized, 
predictive, and impactful solutions to make the human experience and productivity 
better. AI-driven customization can be employed to design services and products that 
become more attuned to individuals which gives meaning and value to experiences. 
Besides, AI predictive power allows people to make proactive choices and permit 
computers to process vast amounts of intricate data at fast rates to entirely and 
independently solve issues. AI provides close to real time insights from data obtained 
from a score of industries. AI-powered customization implies health diagnostic and 
treatment services, personal finance planning, and learning adaptive environments that 
enhance quality of life will be enhanced. Predictivity with the assistance of AI between 
people and organizations propels professionalism that enables extensive interventions 
to be made before issues escalate. AI reinforces delivery more by self-directed learning 
and delivery and enhancing operating efficiencies, lowering heart rates, and 
lengthening emotional bridges between firms and customers. Predictively provides 
room for AI to enable designers to express a possible new issue prior to it becoming an 
extensive mess. Predictability, customization AI will become more of engineered solutions where the end product/new experiences will be the desirable result all while 
being ethical, inclusive culture, where empowerment of the technologies is aimed 
towards the people as part of sociocultural systems. The future will see more and better 
quality of life for all covered under the scope of predictive capability, customization for 
the individual, and smart systems that enhance human capabilities. 

Article Details

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Articles

How to Cite

AI AND THE NEW STANDARD OF LIVING PERSONALIZED, PREDICTIVE, AND POWERFUL . (2024). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(5), 11256-11267. https://doi.org/10.15662/wg6rhb84

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