Artificial Intelligence Price Emulator: A Study on Cryptocurrency

Ganapathy, Apoorva; Neogy, Taposh Kumar

doi:10.18034/gdeb.v6i2.558

Cited by 21 publications

(12 citation statements)

References 8 publications

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“…An effective way to maximize service innovation capabilities is through knowledge sharing, networking, and excellent team organization. Knowledge sharing, networking, and organization are all advantages of emotional intelligence when used in the public sector (Ganapathy & Neogy, 2017). There is a connection between diversity in climate and service innovation, as it facilitates employees' knowledge and skills, allowing them to originate new and valuable ideas.…”

Section: The Mediating Role Of Diversity Climatementioning

confidence: 99%

The Effect of Emotional Intelligence on the Diversity Climate and Innovation Capabilities

Paruchuri

Asadullah²

2018

Asia Pac. j. energy environ.

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This study explores the relationship between emotional intelligence, a diverse work environment, a creative climate, and an innovative corporate culture and capabilities. To get a large enough sample, the questionnaire was used. Based on our findings, it appears that emotional intelligence has an impact on a diverse workplace climate. A diverse workforce and an innovative service mix are inextricably linked. Based on our findings, it appears that diversity in an organization's innovation culture is directly related to the pace of innovation in that organization. Our goal is to provide additional insight into existing research in the public sector. A company's emotional intelligence practices are implemented, and the employees' emotional intelligence skills are taught. The study also encourages the implementation of policies to help deal with climate change and innovation diversity. These policies include diverse input in innovation decision-making. This advice can be used by everyone, helping organizations attain better technical results. Service innovation capabilities are influenced by factors such as emotional intelligence, a diverse work environment, and an innovative business culture.

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Section: The Mediating Role Of Diversity Climatementioning

confidence: 99%

The Effect of Emotional Intelligence on the Diversity Climate and Innovation Capabilities

Paruchuri

Asadullah²

2018

Asia Pac. j. energy environ.

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“…Function as a Service (FaaS) is a classification of distributed computing administrations that gives a stage permitting clients to create, run, and oversee application functionalities without the intricacy of building and keeping up the framework normally connected with creating and dispatching an application. Building an application following this model is one method of accomplishing a "serverless" design and is regularly utilized when building microservices applications (Ganapathy & Neogy, 2017). FaaS was at first offered by different new businesses around 2010, like iCloud.…”

Section: What Is Function As a Service (Faas)mentioning

confidence: 99%

Everything-as-a-Service (XaaS) in the World of Technology and Trade

Ganapathy

2020

Am. j. trade policy

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This article is expected to extensively clarify what Everything As-A-Service means and how it is utilized to arrive at many customers across the globe. Curiously, it uses distributed computing in giving different types of administrations to its buyers. It was noted to help in the development and headway of organizations and smooth promoting of items. It was also noticed that the XaaS has various classes, which adds up to many of them, which a lot was painstakingly analyzed along with their different advantages and burdens in like-way. Some of them have models, which was adequately investigated considering how it may be put to use by the administrator to create wanted outcomes.

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“…Computer Vision innovation, IoT, and robot information can be integrated to ensure quick activities by farmers. Data from drone pictures can produce alerts to speed up the precision farming process (Ganapathy & Neogy, 2017). Different organizations are implementing the IBM Watson IoT Platform and the Visual Recognition APIs in business drones for image analysis progressively.…”

Section: Picture-based Insight Generationmentioning

confidence: 99%

Implementation of Artificial Intelligence in Agriculture: A Review for CMS Optimization

Fadziso

2019

Malays. j. med. biol. res.

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Agriculture has a critical role to play in the financial domain. Likewise, automation of multiple processes in agriculture has been a great concern as well as an alarming subject across the world. The population all over the world is growing at a high rate and with this increment, demand for agriculture and its jobs is also growing exponentially. The usual techniques that were used by the farmers are not efficient enough to meet these requirements. Along these lines, new digital techniques are presented. These new strategies satisfy the proper management of agricultural products as well as services so that farmers can make the most of technology to increase their profit rates. AI in the agricultural landscape has initiated a revolutionary change. It has guarded the harvest yield from different declining factors such as environmental changes, over population, dynamic business demands, and food safety issues. By using artificial intelligence we can foster smart farming practices to limit the loss of farmers and give them high returns. Using artificial intelligence platforms, one can collect an enormous amount of information from government and public sites or real-time monitoring and collection of different information is likewise possible by utilizing IoT (Internet of Things) and afterward can be explored with precision to empower the farmers for resolving every one of the issues faced by farmers in the agriculture area. This research is conducted in order to help local farmers everywhere in the world to manage their agriculture practices all the more effectively. The strategy discussed in this paper is leveraging the model of waterfall methodology for planning and creating a system smart enough by performing a sequential cycle that starts with data collection, requirement analysis, plan, coding, and testing and finally implements that system as a whole. This system can also be used to foster ideas to manage normal issues in agriculture information systems, to improve the policy programs, the augmentation, and analysis practices, and to manage data on agriculture. Finally, conclusion about agricultural information systems are discussed and suggestions for additional development of agriculture data systems is presented.

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Artificial Intelligence Price Emulator: A Study on Cryptocurrency

Cited by 21 publications

References 8 publications

The Effect of Emotional Intelligence on the Diversity Climate and Innovation Capabilities

The Effect of Emotional Intelligence on the Diversity Climate and Innovation Capabilities

Everything-as-a-Service (XaaS) in the World of Technology and Trade

Implementation of Artificial Intelligence in Agriculture: A Review for CMS Optimization

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