Volume 9 | Issue 1 |

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Entrepreneur, Rural Entrepreneurship, Rural area, Challenges, Opportunities.

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Entrepreneur, Rural Entrepreneurship, Rural area, Challenges, Opportunities.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper looked at the challenges that DevOps brings to software development, as well as the techniques for mitigating such challenges. Every industry, from finance to retail manufacturing, relies on software. Individual desktop programs, large-scale web applications, and mobile apps are all examples of software [1]. Due to software's intangible and complicated nature, requirements change fast, and software development teams have found it difficult to generate software that adequately meets client expectations while also providing the desired functionality and software quality [1]. Innovations have advanced the software business fast. Researchers have developed new programming languages, new database designs, and new development technologies such as Cloud Computing, Crowdsourcing, APIs, and SOA as a burgeoning business that is just 50 to 60 years old [2]. Because of the introduction of new technologies, old software systems become out-of-date and must be improved for the company to remain viable. Because software is always evolving, several Software Development Life Cycle (SDLC) models have emerged, including the Waterfall approach, Iterative Model, Spiral Model, Agile, and derivative forms [2]. These models all cater to software development, deployment, and maintenance. With today's technological advancements, the industry is moving toward the "DevOps" paradigm of software development. To provide software and services quickly, reliably, and of better quality, DevOps uses a variety of methodologies that bring together developers and operations personnel. In a team empowered with complete responsibility for their service and its underlying technological stack, duties and responsibilities are shared from development through deployment and maintenance [3]. This study is meant to verify and assess whether the problems and mitigation measures of implementing DevOps from systematic literature research are widespread in business.

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DevOps, CI, CD, machine learning, CI/CD Pipeline, software development

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Automation, Artificial intelligence, Machine learning, deep learning, digital communication, challenges, transportation, network, global approaches

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Human life is a prized possession; the best product of cosmic process emerged so far. It has been a remarkable psycho-physical evolution through genetic endowment, ecological interaction and cultural transformation, through innate competence and overt performance. Reflective awareness and self-consciousness are its unique features. On the basis of his/her planned endeavor and successful behavior human being has been able to achieve wonderful feats. A mechanistic understanding of human ontology and human evolution cannot do justice to the spontaneity, creativity and goal-oriented human pursuits. The reality is experienced to be through and through telos-embedded and human life being its part and parcel has to reflect this feature. Teleological approach alone can support a viewpoint that coordinates work and welfare, possession and enjoyment with a spirit of sacrifice, social progress and social justice, material well-being and spiritual enhancement. The cosmic process is an ongoing movement. It does not halt or wait. Nothing should be regarded as final, inevitable and conclusive at the present juncture. If it is turned and twisted in a wrong direction it will keep on moving in that direction only. But if it is given a right turning and tuning it can move in a desirable direction. It is for the free, rational, and responsible human agent to choose the correct path and provide a right direction to the cosmic process. Here comes the role of knowledge, values and education under the guidance of philosophical reflections. For this purpose there is need for reviewing and rethinking of the required mode of philosophizing.

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Philosophizing the Concept of Perfection

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The COVID-19 pandemic has severely altered societies and labor markets. Within weeks, severe constraints on mobility were imposed via border and business closures, quarantines, and movement restrictions. The COVID-19 pandemic has had a devastating consequence on every aspect of life. Migrant workers, especially women, are more vulnerable and face many deprivations from being poor and from their occupation as informal workers. Women face losing their livelihood, facing human rights violations, and contracting COVID-19. Women are severely affected more because, in many contexts, they are considered less productive and consequently occupy a lower position and rank in society. Female-headed families and groups are significantly affected by COVID-19 and cannot meet household needs due to the lack of economic options. The pandemic also exacerbates prevalent gender inequalities and disparities. It is represented as a gendered pandemic in amalgamation with its classed and racialized dimensions. COVID-19 has severely impacted women and girls in health, economy, social protection, and gender-based violence. There persists gender wage gap, and migrant women disproportionately work in more precarious, insecure, and informal employment that receives low pay. Women are more vulnerable to experience violence within workplaces, and migrant women, particularly those working informally, face more hardships and have little to no social protection. This paper analyzes how the global health crisis amplifies existing gender dynamics and creates new gender-biased outcomes that disproportionately impact migrant workers. The focus of the study also examines the health, social and domestic care services that migrant women workers provide and are essential during the pandemic.

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Covid-19, Migrant workers, Gender discrimination, lockdown

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This paper provides a review of how AI powers identity management to allow easy user access privileges. Artificial Intelligence (AI) reshapes enterprises and organizes innovation management. AI may force management, consistent with fast technological progress and the replacement of human organization, to reconsider the whole process of innovation of a business. IAM systems offer administrators tools and technology to alter user roles, monitor user activity, provide reports and continuously implement rules [1]. These systems are developed to offer a method of managing user access throughout a company and to guarantee that corporate rules and government laws are complied with. Identity management's overall objective is to provide access to company assets for which individuals and devices are entitled in a certain situation [2]. This covers onboarding users and systems, authorization, and prompt offboarding of users and devices.

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Management of identity and access, artificial intelligence, biometrics and IAM systems, managing identity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Although there exist restricted executions of Artificial Intelligence (AI) across a few sectors, automation profoundly influences the robotics industry. The trend shows no mark of impeding. Currently, the creative integration of robotics and AI constructs an assemblage of futuristic opportunities in technology. Economic effects of robotic developments and AI have produced self-driving motors, intelligent electronic agents that work for people, which ultimately makes robots proliferate. AI gets projected on having broad applications such as machine learning that mechanizes analytical approach construction through algorithms. Algorithms permit robots to function with humanitarian aid. However, artificial intelligence contains some advantages and disadvantages. The benefits conquer several risk hindrances of humans by advancing on Artificial Intelligence Robot, which conducts harmful activities that people cannot engage. Guidelines concerning AI in the robotics sector include mobility, sense and feedback, customer assistance alongside open-source robotics, and process optimization. Looking into the future of AI and robotics, the manufacturing industry becomes an emerging trend. Manufacturing over the years gets considered as a sector with the most significant level of technology. Nonetheless, wholly automated manufacturing plants seem distant, and AI robots get positioned to modify that condition. The range of AI's advancement in the future will discover the economic effect of AI on the worldwide economy. For this discussion, the paper aims at expounding on the economic impact of incorporating AI within the robotics sector, considering the modifications attached, pros and cons, financial results, and the current emerging trends.

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Artificial Intelligence, robotics, algorithm, natural language processing,

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There is a proverb think twice before taking action. That means, we need to foresee what would be the effect or outcome by undertaking this particular action or project or education etc. The expected outcome has to be ascertained beforehand as in the case of research. Outcome based education (OBE) empower the students to understand the concept clearly and apply the same in practice. Assessment has to be restructure in such a way that reflection and refinement of education be enumerated on the basis of achievement rather scoring marks. One of the main attributes of OBE is to practice what we talk. OBE is student-centred instruction model that stresses on judging student performance through outcomes. Existing current process of learning comparing with the outcome based learning. Types of OBE and its benefits are discussed. We need to develop the students to become life- long learners to use the knowledge acquired from education field in practice for the benefit of society in particular and nation in general.

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OBE, Process of learning, project learning

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Effectiveness, Intermediaries ,Online food apps, Made to offer

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