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Purpose: To analyse the acceleration of artificial intelligence (AI) operations and robotic process automation (RPA) by comparing its market size and revenue worldwide during the pandemic and, measuring the impact of AI investment levels on jobs human resource functions, and analysing the role of AI in future work.

Design/Methodology: The archival data analysis technique is used to fetch data from sources like the Centre for Monitoring Indian Economy (CMIE), Statista, Deloitte, Mc Kinsey, Strata, Tractica, and IDC. Descriptive analysis with supporting literature has been contextually used for each objective which further establishes practical and theoretical implications of AI, intelligent process automation (IPA), and RPA in different industries during Covid-19 pandemic. This study analysed active scholarly articles from the Scopus database and presented results and findings.

Findings: The findings of the study state that emerging technologies such as AI, IPA, and RPA have a strong potential impact on market size, revenue, number of jobs, and investments levels during the pandemic. The global investment in AI is projected to witness an upsurge from 2018 to 2027, which significantly impacts the human workforce in various industries. The results of the study state that AI/RPA seems to be a crucial technological intervention, especially in times of the pandemic.

Originality/Value: This study contributes to the body of knowledge by constructing a base for understanding the pace of AI/RPA/IPA intervention and its significant impact on organisation process, structure, and people in different sectors. The timeline and forecast of this study intend to make industry consultants future to prepare to align themselves in an era of digital disruption.

This chapter provides researchers and practitioners with guidelines for employing wikis to foster collaboration and active learning within and between student teams in higher educational settings. The core function of a wiki is to facilitate learner interaction with content. Such engagement is critical whether the course's instructional delivery environment is primarily face-to-face or web-based. Instructors encourage shared understanding through a spirit of investigation that embraces greater collaboration in the process. Collaboratively building knowledge about one content area by dialoguing with peers and negotiating importance in order to present the information in a meaningful way to the public is the strongest aspect of a wiki. To illustrate this, five case studies are detailed ranging from individual wikis to group consensus wikis in undergraduate and graduate-level courses, delivered in blended (i.e., hybrid combinations of face-to-face and online) and online asynchronous environments. As a whole, these studies support that wikis are not the single answer to all problems associated with collaboration and shared-knowledge in any learning situation, but they are a powerful lens for greater clarity in issues of student engagement and may lead to improved performance for diverse learners. Various experts add their views to those of the authors of this chapter; that to be effective, instructors must design purposeful engagement that embraces communication, cooperation and collaboration, active learning, feedback, and respect for differences. Likewise, students must be informed of the value of such engagement and have positive wiki models presented early in their online experiences.