Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Workforce Forecasting Using Artificial Intelligence Description An account of the resource Workforce forecasting predicts an organizations future demand and supply of the workforce. Each organization has its strategies to manage and track the appropriate workforce. The adequate forecasting technique for the workforce involves data analysis and pattern mining from various data points. Some of the critical attributes considered for the analysis and the forecasting of the workforce requirement include the data such as demographics, economic trends, and labor market conditions; these help in calculating informed predictions about future workforce requirements [1,2]. The primary aim of workforce forecasting is to ensure that an organization has suitable employees with the appropriate skills to meet its business needs by helping organizations make informed decisions about staffing levels, employee training, and other workforce management strategies. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. Creator An entity primarily responsible for making the resource Joseph A.; Johnson A.; Cheriyan A. Source A related resource from which the described resource is derived Artificial Intelligence in Forecasting: Tools and Techniques, pp. 146-172. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003399292-11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-11</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195899215&amp;doi=10.1201%2F9781003399292-11&amp;partnerID=40&amp;md5=202d46f7cb8ee259f765c6ce4c609818" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195899215&amp;doi=10.1201%2f9781003399292-11&amp;partnerID=40&amp;md5=202d46f7cb8ee259f765c6ce4c609818</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104005150-4; 978-103250615-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joseph A., Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, Pune, India; Johnson A., Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, Pune, India; Cheriyan A., School of Business and Management (BBA), CHRIST (Deemed to be University), Lavasa Campus, Pune, India