Big Data Analytics and Artificial intelligence in business and Marketing: Cloud security and encryption influencing business

Kazim, Areeba; Jindal, Muskan; Sharma, Rohan; Choudhary, Rohit; Sharma, Vivek; Bajal, Eshan

doi:10.2139/ssrn.3884455

SSRN Journal

2021

DOI: 10.2139/ssrn.3884455

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Big Data Analytics and Artificial intelligence in business and Marketing: Cloud security and encryption influencing business

Areeba Kazim

Muskan Jindal

Rohan Sharma

et al.

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2023

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Cited by 5 publications

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Investigating the Features of Physical Layer Structure for Employment of Smart City Models

Jain,

Jindal

et al. 2023

Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective

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In today’s world, when everything around us is getting smart, be it the “phone” or “television”, there is an utter need and high time for the cities to get smart to solve the major problems of mankind. It is a futuristic approach to alleviate obstacles caused due to day by day increasing population of India. It will help the government as well as the common people to fight daily life problems such as water scarcity, waste management, and lack of interconnectivity in a city that can cause serious problems like delayed responses to emergency situations. This paper mainly focuses on the salient features of the smart city “Dholera” in Gujarat, India. The city uses futuristic technologies like Artificial Intelligence (AI) and the Internet of Things(IoT) to automate city resources. It has AI-based smart grids, transportation, water and waste management. This paper explains why Cholera is a smart, intelligent and fast-responsive city and how it is a boon for the masses.

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Investigating the Features of Physical Layer Structure for Employment of Smart City Models

Jain,

Jindal

et al. 2023

Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective

View full text Add to dashboard Cite

show abstract

Pithy & Comprehensive Review of Practical and Literal Models

Mishra,

Jindal,

Karras

2023

Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective

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The development and success of various smart cities is contingent on the multiple models of expertise they employ and execute like a functional and smart infrastructure to handle traffic chaos, a sustainable water recycling system, a smart administration task manager, or an efficient waste management plant. The development and efficacy of various smart cities are directly dependent on the efficiency of multiple models it employees. Thus, the presented study aims to review, analyse and document the various models that perform mundane tasks “smartly”, on the basis of key criteria namely: efficacy on the task in hand, power and time consumption, human interaction, upfront cost and operational task. These outcomes are then collated, and assayed by the application of various mathematical and statistical models to determine their performance as compared to the pre-existing non-technical approach of pursuing the same. Finally, the purpose of this study is to present a complete analysis of the performance of various models of smart cities to comprehend the profitability overall and provide suitable points to improve the same.

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Categorizing Obstacles in the Implementation of Smart Cities with Probable Solution Models

Mishra,

Jain,

Jindal

et al. 2023

Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective

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The development and implementation of smart cities can be a complex and challenging task as it becomes difficult to implement the notional concepts of smart cities that do not directly cater to the on-site problems. This study aims to identify and classify the various obstacles occurring in the development, planning & budget discussion of smart cities. It will deliberate wide purview of problems including standard difficulties like budget development that includes both capital upfront cost or Capex and operational cost or Opex, geographical & climatic challenges endemic to the city of development, employment & administration challenges like government permits, vendor availabilities, and technology troubles from IoT perspective. This study aims to categorize various issues into major five gradations namely: technical purview, location endemic purview, administration or employment troubles, pecuniary or financial issues and miscellaneous issues. Moreover, this study also provides a heads-up and detailed recommended steps to avoid the identified problems but presents specific case studies to show the significance and application of recommended solutions in multiple smart cities around the globe.

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Big Data Analytics and Artificial intelligence in business and Marketing: Cloud security and encryption influencing business

Cited by 5 publications

References 19 publications

Investigating the Features of Physical Layer Structure for Employment of Smart City Models

Investigating the Features of Physical Layer Structure for Employment of Smart City Models

Pithy & Comprehensive Review of Practical and Literal Models

Categorizing Obstacles in the Implementation of Smart Cities with Probable Solution Models

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