{"title":"AI-Powered Workforce Management and Its Future in India","authors":"Mrinmoy Roy","doi":"10.5772/INTECHOPEN.97817","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97817","url":null,"abstract":"Day in and day out, the Workforce Department faces new problems and operational demands. It is very important for the department to respond quickly and understand the best possible action to be taken in each single case. It is unknown in a compromised setting of near-constant shifts in forecast and scheduling, increased customer demands, and changing recruitment and retention of employees. Workforce management around the world has begun to use artificial intelligence (AI)-based workforce management (WFM) software to solve the above problems and reach goals. These tools transform workforce management by helping to anticipate and plan short- and long-term planning. These tools improve Workforce Management by helping to predict short- and long-term scheduling and recruiting requirements, communicate with staff, and at the right time bring customers in contact with the right agent. This chapter addresses AI workforce management intervention and WFM instruments with industry-specific case studies and its experience with the product Workforce Dimensions. Present status and future expectations are also critically reviewed. Techniques of AI and machine learning (ML) are transforming industries, as are goods from thermostats to cars. The global enterprise value generated from AI continues to grow, according to Gartner, and is projected to reach up to $ 3.9 trillion by 2022. But what do these approaches mean for workforce management in the field? The current chapter examines the growing use of artificial intelligence (AI) in various HRM functions, as well as the ongoing debate about the expected decline in the usability of human resources in organizations. In the presence of AI in the workplace, HR practitioners are constantly afraid of being replaced by computers/robots/smart business machines. The study aims to recognize AI’s important contribution to enhancing organizational decision-making processes, as well as to enhance awareness of AI’s acceptability and inclusion in the HRM department. Despite the fact that the combination of AI and HRM is attracting a large number of researchers, many aspects of the field remain unexplored. The current research proposes a collaborative approach by stressing the complementary role of HRM in the successful use of AI, and it contributes to the existing literature. Since AI and HR are so intertwined, organizations should concentrate on incorporating AI as a supporting tool for HR rather than attempting to take over HR’s function. Business systems and smart business machines should be designed in such a way that they cannot produce results without the help of HR.","PeriodicalId":165635,"journal":{"name":"Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence Assisted Innovation","authors":"G. Samid","doi":"10.5772/INTECHOPEN.96112","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.96112","url":null,"abstract":"Artificial Intelligence Assisted Innovation (AIAI) is a technology designed to improve innovation productivity by helping human innovators with all the support tasks that kindle the creative spark, and also with sorting out innovative propositions for their merit. Innovation activity is mushrooming and hence innovative history is an ever growing data accumulation. AIAI identified a universal innovation map, which is processed like the tape in a Turing machine, only here in the Innovation Turing machine, marking an innovation pathway. By mapping innovative history onto these maps, one enables the growing record of innovation history to guide current innovation as to merit, expected cost, estimated duration, etc. Using Monte Carlo and Discriminant Analysis, an Artificial Innovation Assistant runs a dialog with the human innovator with a net effect of accelerated innovation. Users of AIAI are expected to exhibit a commanding lead over innovators guided only by their creativity.","PeriodicalId":165635,"journal":{"name":"Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications [Working Title]","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116013160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Prospects for Creating Instruments for the Coordination of Activities of International Organizations in the Regulation of Artificial Intelligence","authors":"V. P. Talimonchik","doi":"10.5772/INTECHOPEN.95437","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.95437","url":null,"abstract":"The objective of the research is identifying the prospects for the development of instruments for coordinating the activities of international organizations on the regulation of artificial intelligence and elaborating proposals in relation to the mechanisms of cooperation of international organizations on the universal level on issues related to artificial intelligence. A complex of general scientific and philosophical methods, including the logical, comparative-legal, formal-legal, systemic-structural, problematic-theoretical methods, as well as methods of analysis and synthesis were used in the research. In the research it was found that Action Lines of the World Summit on the Information Society are working on issues that are discussed at the AI for Good Global Summit. The activities of the World Summit on the Information Society such as ICT regulation are more general in nature while those of the AI for Good Global Summit are more special. The problem of “international institutional competition” of the two discussion platforms can be resolved by ITU’s efforts to coordinate the two discussion platforms and by supplementing the competence of UNGIS with issues of artificial intelligence. The findings can be used in activities of international organizations in execution of their functions of unification and harmonization of the international information law.","PeriodicalId":165635,"journal":{"name":"Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications [Working Title]","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129917450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}