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Designing AI-assisted decision systems that integrate evidence, uncertainty, and operational context.
Enterprise Intelligence Framework™: A Reference Framework for Connecting Executive Intent, Control Architecture, Operating Models, and Platform Delivery
2026 | Zenodo public work | DOI 10.5281/zenodo.21347650
View sourceBQEB ForecastBench: Benchmarking AI Models for Smart Grid Forecasting Using BQEB-Data v1
2026 | Zenodo public work | DOI 10.5281/zenodo.19716383
View sourceresearch-portfolio
Research portfolio repository featuring publications, preprints, datasets, white papers, technical reports, and open research.
View sourceRakeshKumarAgrawal.github.io
Personal portfolio repository showcasing enterprise AI research, platform engineering, cloud architecture, open-source projects, and technical publications.
View sourceBQEB ForecastBench
2026 | Zenodo | DOI 10.5281/zenodo.19716383
View sourceEnterprise Intelligence Framework™
Reference framework connecting executive intent, control architecture, operating models, and platform delivery.
View sourceBQEB ForecastBench
Benchmarking AI models for smart grid forecasting using BQEB-Data v1.
View sourceLet's discuss research collaborations, enterprise AI strategy, platform engineering, open science initiatives, or speaking opportunities.