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 Conference Paper Faculty Publications- Conference Papers 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 Radhakrishnan, P.; Shravani, K.; Prasadula, Naveen; Maheshwari, Sumit; Acharjee, Purnendu Bikash; Dhanraj, Joshuva Arockia Title A name given to the resource Edge Computing and Real-Time Analytics as the Next Frontier for Big Data in IT Companies Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings - 2025 IEEE 1st International Conference on Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies, SISIMPACT 2025;pp.985-990 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SISIMPACT67725.2025.11439636" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SISIMPACT67725.2025.11439636</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037433242?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037433242?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 Radhakrishnan P., School of CS and AI, SR University, Telangana, Warangal, 506371, India; Shravani K., Malla Reddy University, Department of Data Science, Telangana, Hyderabad, 500100, India; Prasadula N., Pannala Ram Reddy College of Business Management, Osmania University, Hyderabad, India; Maheshwari S., ABES Engineering College, Uttar Pradesh, Ghaziabad, India; Acharjee P.B., Computer Science CHRIST University, Bengaluru, India; Dhanraj J.A., University Centre for Research and Development (UCRD), Chandigarh University, Punjab, Mohali, 140413, India Description An account of the resource Edge computing combined with real-Time analytics is rapidly transforming the way the IT companies can use big data to make smarter and quicker decisions. Centralized model of clouds traditional clouds are being put under stress owing to an explosive increase in data volume, latency sensitive applications as well as bandwidth limitations. Edge computing also makes computation much closer to data sources and allows real-Time analytics that can mitigate latency by orders of magnitude, increase data security and achieve instant insights at a scale. This paradigm shift gives power to IT firms to maximize operations, individualize services and allow agile reactions in a dynamic scenario like smart infrastructure, IoT implementations, and AI-based systems. Edge computing can also be used to offload processing to the edge thus reducing traffic in the core network as well as enabling distributed intelligence. Moreover, edge systems, coupled with AI models, make IT infrastructures perform predictive analytics at the source and become less dependent on backhaul links. This hybridizing process is a paradigm shift in the serious research of big data strategies, and in a future where competitive advantage will rest on latency, context-sensitivity, and localized smarts. 2025 IEEE. Subject The topic of the resource Big data; Decentralized processing; Edge computing; Latency; Real-Time analytics Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155787-4; Language A language of the resource English Type The nature or genre of the resource Conference paper 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