Global Conference on Intelligent Software Architecture, AI/ML Engineering & Cloud Computing

Theme: "Bridging Intelligent Software Architecture, AI/ML Engineering, and Cloud-Native Technologies for the Future"

12-13, November 2026 Seri Pacific Hotel Kuala Lumpur, Kuala Lumpur, Malaysia
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Vasudevan Ananthakrishnan
Featured Speaker

Vasudevan Ananthakrishnan

Session Speaker

USA

Biography

Vasudevan Ananthakrishnan is an accomplished IT Project and Technical Manager with more than 25 years of experience delivering enterprise-scale technology solutions across the software and information technology industry. Throughout their career, they have successfully led cross-functional teams in the design, development, implementation, and modernization of complex data and application ecosystems. Their expertise spans Data Warehousing (DW), ETL, Business Intelligence (BI), data integration, cloud computing, Artificial Intelligence (AI), and enterprise solution architecture. They have extensive experience managing large-scale projects and driving digital transformation initiatives using AWS and other modern technology platforms. With a strong background in both technical leadership and project management, Vasudevan Ananthakrishnan specializes in bridging business objectives with technology strategy, enabling organizations to improve operational efficiency, enhance data-driven decision-making, and accelerate innovation. They are passionate about emerging technologies, mentoring technology professionals, and helping organizations navigate the evolving landscape of cloud, analytics, and AI. My role also extended to maintaining ISO and CMMI certification documentation, ensuring audit-readiness and adherence to software quality standards. In addition to that, I participated as an ATM during the current CMMI appraisal. In addition to infrastructure improvements, I provided ongoing support for Oracle database maintenance and AWS cloud administration. My responsibilities included managing account issues, resolving application support tickets via JIRA, and ensuring resolution within defined SLAs. I also played a hands-on role in drafting and executing User Acceptance Testing (UAT) scripts for sprint updates, supporting end-users on-site during testing and production rollouts. RMAN-based backup and restore simulations on cloned environments to ensure high availability. In every project, I emphasized proactive communication and problem resolution. For instance, recurring application issues were analyzed for root causes, and I implemented preventive strategies to minimize repeat incidents. I also compiled weekly reports highlighting service trends and system health metrics. Across all projects, I have leveraged my deep technical expertise in Oracle databases, PL/SQL, SQL*Loader, Unix shell scripting, and cloud tools like AWS. I complemented this with Agile project management practices and team leadership to deliver robust, scalable, and maintainable solutions. Having certification in CSM and Certified CMMI Practitioner. Overall, the last five years have reflected my commitment to technical excellence, team leadership, and client satisfaction—delivering tangible business value through reliable and innovative software solutions.  

Abstract Title

Title:  From Data Warehousing to AI: Leveraging Modern Technologies for Enterprise Transformation -  Abstract:  Enterprise technology has evolved significantly in how organizations collect, manage, and extract value from data. From traditional data warehousing (DW), ETL, and business intelligence (BI) systems to cloud-native architectures and artificial intelligence (AI), organizations continue to modernize to meet growing business needs. This session examines the evolution of data-driven enterprises and shares best practices for building scalable, secure, and efficient solutions using AWS cloud services, advanced analytics, and AI-powered capabilities. Attendees will gain practical insights into data modernization strategies, cloud migration approaches, governance considerations, and lessons learned from large-scale enterprise implementations. The session will also highlight how organizations can use AI to improve decision-making, optimize operations, and create new business opportunities.