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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Agarwal, Ansh Title A name given to the resource Financial Analytics AI in Sustainable Innovations Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Sustainable Innovations in Statistics and Data Science;pp.1-26 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1454-9.ch001" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1454-9.ch001</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032754164?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032754164?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agarwal A., Christ University, India Description An account of the resource Financial analytics integrates AI, ESG factors, and risk management to drive sustainable investments. It enables data-driven decision-making, optimizing financial and environmental outcomes. AI-powered tools like machine learning and predictive analytics enhance risk assessment and portfolio optimization. ESG integration ensures ethical and impactful investments. Despite challenges like data reliability, financial analytics is key to fostering a resilient, equitable, and sustainable global economy. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731456-3; 979-833731454-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online