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Sri Charan Chowdary Konidina

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Open access Sep 2026

A Cloud-Native MLOps Framework for Drift Detection, Automated Retraining, and Reliable Real-Time Inference in Predictive AI Systems

Deployed predictive machine learning models inevitably degrade when real-world production data deviates from training distributions. Static deployment strategies cannot handle this environmental shift, causing drops in accuracy and forcing engineering teams to rely on slow, manual retraining audits. This paper presents...

Sri Charan Chowdary Konidina · 0 citations
Open access Aug 2026

An Analytical Study of Behavior-Aware Retrieval-Augmented Generation Frameworks in Enterprise Software Ecosystems for Optimizing User Navigation and Decision Support

It is demonstrated that incorporating real-time user behavioral context is critical for transforming generative AI utilities into proactive workflow accelerators within complex, data-dense corporate environments.

Sri Charan Chowdary Konidina · 0 citations

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