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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Vamsi Krishna Dasaraiahgari
Featured Speaker

Vamsi Krishna Dasaraiahgari

Session Speaker

USA

Biography

VamsiKrishna Dasaraiahgari is a Senior Solutions Architect and Associate Director–Technology at Synechron, USA, with over 20 years of experience in enterprise architecture, cloud computing, and digital transformation. His expertise includes microservices, cloud infrastructure, DevOps, and AI-enabled applications across banking, financial services, logistics, and healthcare. He has delivered technology solutions for clients including Transamerica, JPMorgan Chase, First Republic Bank, and FedEx. His work includes developing cloud platforms supporting millions of users, integrating machine learning into virtual assistants, and modernizing enterprise applications. VamsiKrishna holds a Master’s degree in Computer Applications from S.V. University, Tirupati, India, and an AWS Solutions Architect certification. He combines technical leadership with experience in delivering scalable, secure, and cost-effective solutions.

Abstract Title

Human‑AI Synergy in Healthcare "ai-clics" - Navya(y) : Driving Accuracy, Efficiency, and Trust  : 

The convergence of human expertise and artificial intelligence is reshaping healthcare delivery. In this session, we’ll explore how Human‑AI collaboration is transforming diagnostic medicine, surgical innovation, and clinical workflows—through real‑world evidence drawn from peer‑reviewed studies and large‑scale implementations. Attendees will learn how combined systems have achieved a 33.7% boost in diagnostic accuracy and reduced errors by 35.7%, while AI‑assisted radiology has cut interpretation time by 31% and achieved 94.1% sensitivity in cancer  and developmental delay detection. We’ll also examine AI‑enhanced surgical systems that reduce blood loss, shorten hospital stays, and decrease revision rates, alongside operational wins such as federated learning deployments and improved clinician AI literacy. Beyond technology, we’ll address implementation hurdles including interoperability, workforce readiness, and regulatory considerations. Participants will leave with actionable strategies to harness human‑AI synergy to improve outcomes, optimize resources, and advance patient‑centered care—while safeguarding the values of empathy, ethics, and clinical judgments.

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