scispace - formally typeset
Search or ask a question
Author

Arunkumar Panneerselvam

Bio: Arunkumar Panneerselvam is an academic researcher. The author has contributed to research in topics: Business operations & Workflow. The author has co-authored 1 publications.

Papers
More filters
Book ChapterDOI
01 Jan 2022
TL;DR: In this paper, the authors focus on the adaptation of intelligent workflows in cognitive enterprises in a multi-cloud environment and discuss the design strategies and techniques for designing intelligent workflow for multi-Cloud.
Abstract: Traditional businesses are transforming into cognitive business operations with convergence of technologies such as Cloud, Big Data, Artificial Neural Networks, and Machine Learning. As businesses all around the world become more dependable on technology and handle more data, the success of the business enterprises is greatly determined by the intelligent workflows that are automated, adaptable, and self-learning. Intelligent workflows play a vital role in cognitive enterprises, and almost every business now is cloud based. The business users are depending on multi-cloud environment to get the best in breed services for their business operations. This chapter focuses on adaptation of intelligent workflows in cognitive enterprises in a multi-cloud environment. The evolution of cognitive computing and cognitive enterprise is outlined. Current approaches in workflow automation and tools and processes for automated workflow management were detailed in the chapter. The design strategies and techniques for designing intelligent workflows for multi-cloud are discussed. The challenges in adapting intelligent workflows in multi-cloud environment and multi-cloud operations are explored.

1 citations


Cited by
More filters
Journal ArticleDOI
26 Aug 2022-Energies
TL;DR: The aim of the paper was to analyze the current state of research on the application of cognitive computing in the energy industry and to define the trends, challenges, milestones, and perspectives in scientific work’s development using the bibliometric approach.
Abstract: Nowadays, cognitive computing has become the popular solution to many problems arising in the energy industry, such as the creation of renewable technologies, energy saving, and searching for new sources. Last decade, a substantial number of scientific papers aiming to support these tasks were published. On the other hand, some years ago, the “cognitive enterprise” (CE) concept was introduced by the IBM company, which assumes, among others, the cognitive technologies used to increase enterprise intelligence. On the road to obtaining the status of a “cognitive enterprise”, it should overcome many challenges. Thus, the aim of the paper was to analyze the current state of research on the application of cognitive computing in the energy industry and to define the trends, challenges, milestones, and perspectives in scientific work’s development. The aim has been achieved using the bibliometric approach. The preliminary analysis was made by Web of Science data sources; 4182 records were retrieved. The results comprise the research field, geographic distribution of research, time analysis, and affiliation analysis. Additionally, descriptive statistics, as well as simple forecasting, were provided to present the research results. As a result of the research, the publication history road was created as well as the milestone framework on the path toward “cognitive enterprise”. The findings of this research can contribute to literature and practice by applying them to the process of cognitive enterprise models’ development as well as by adapting the education programs and training courses for enterprises and universities to market requirements.

1 citations