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AI-driven release management and automation strategies for oracle cloud and best practices in regression testing and pre/post- analysis
Journal of Computer Science & Systems Biology

Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

AI-driven release management and automation strategies for oracle cloud and best practices in regression testing and pre/post- analysis


5th International Congress on AI and Machine Learning

December 09-10, 2024 | Dubai, UAE

Sreenivasa Rao Sola

Enterprise Application Management Services, American Woodmark, USA

Scientific Tracks Abstracts: J Comput Sci Syst Biol

Abstract :

Statement of the Problem: Effective release management is critical for organizations that utilize Oracle Cloud Applications, Oracle Integration Cloud, Oracle Financial Analytics Warehouse (FAW), Oracle Warehouse Management System (WMS), and Vertex. These applications, with individual release cycles every quarter for Oracle Cloud Applications, FAW, and WMS, and monthly for Vertex require a single strategy to offer seamless integration and the minimum possible disruption. This paper addresses release management best practices using automation techniques, with a special emphasis on AI-based regression testing to enhance the effectiveness and reliability of pre- and post-release processes. The paper further addresses good post-mortem practice to learn from each release cycle so that there is ongoing improvement and operational resilience. I would like to begin with an official disclaimer: Due to the sensitive nature of this project and the stakeholders involved, this initiative remains highly classified and confidential until the completion of all phases. While I am providing as much information as possible at this time, it is important to note that contributions to this research extend far beyond what is detailed here.

Biography :

Sreenivasa Rao Sola brings over 20 years of experience in IT, specializing in Oracle-based enterprise solutions across sectors like energy, telecom, finance, government, and retail. He has led end-to-end Oracle ERP Cloud implementations across Finance, Procurement, Inventory, and PDH, with strong expertise in SOA, OIC, and integration architecture. A Certified Scrum Master and Product Owner, he is proficient in Agile and Waterfall methodologies, delivering results through strategic program leadership and effective change/release management. Sreenivasa excels in managing global teams, offshore consultants, and cross-functional stakeholders, ensuring high-quality delivery and alignment with business goals. With deep technical skills in Oracle EBS, Oracle Cloud ERP, and SOA Suite, he has delivered complex integrations, data migrations, and functional testing. He also brings strong vendor and resource management capabilities, optimizing performance in multicultural environments. Sreenivasa Rao Sola is committed to driving innovation, operational excellence, and scalable Oracle solutions that enable organizations to achieve digital transformation and long-term success.

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

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