1 citations · 1 across the 3 of their papers we have counts for
6 papers
Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data Lakes
Kirushikesh D B, Manish Kesarwani, Nishtha Madaan +6
Enterprises increasingly need natural language (NL) question answering over hybrid data lakes that combine structured tables and unstructured documents. Current deployed solutions,…
FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimization
Ngoc Phuoc An Vo, Manish Kesarwani, Ruchi Mahindru +1
FinOps (Finance + Operations) represents an operational framework and cultural practice which maximizes cloud business value through collaborative financial accountability across e…
Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling
Akshar Kaul, Manish Kesarwani, Hong Min +1
Diagnostic data such as logs and memory dumps from production systems are often shared with development teams to do root cause analysis of system crashes. Invariably such diagnosti…
Secure k-Anonymization over Encrypted Databases
Manish Kesarwani, Akshar Kaul, Stefano Braghin +2
Data protection algorithms are becoming increasingly important to support modern business needs for facilitating data sharing and data monetization. Anonymization is an important s…
Data Readiness Report
Shazia Afzal, Rajmohan C, Manish Kesarwani +2
Data exploration and quality analysis is an important yet tedious process in the AI pipeline. Current practices of data cleaning and data readiness assessment for machine learning…
Model Extraction Warning in MLaaS Paradigm
Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya +1
Cloud vendors are increasingly offering machine learning services as part of their platform and services portfolios. These services enable the deployment of machine learning models…