Applied AI
Rights Management for Media and Entertainment Using RAG-Based Agents
Rights management in media and entertainment demands precise enforcement of licenses across regions, platforms, and time windows.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Applied AI
Risk Mitigation with Agentic Workflows for Macro Economic Shocks
Agentic workflows enable rapid, auditable hedging across finance, procurement, and operations by letting autonomous agents observe signals, reason under uncertainty, and act within governed boundaries.
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Applied AI
Risk Mitigation with Agentic Workflows: Preventing Single Points of Failure
Agentic workflows radically change fault domains: by distributing tasks to autonomous agents that operate under explicit contracts, you remove single failure points and accelerate recovery.
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Applied AI
Risk-Based Prioritization for AI Features in Production Systems
To safely scale AI features in production, you should prioritize by risk. Create a living feature catalog, attach a multi-dimensional risk score to each capability, and enforce governance gates in your deployment pipeline.
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Applied AI
Robust AI backup and recovery for production systems
Production AI demands more than clever models; it requires a disciplined, auditable backbone for backup and recovery that protects data, model artifacts, prompts, and the persistent state of agentic workflows across distributed environments.
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Technical Advisory
Robust GPU Resource Allocation for Production AI
GPU resources are a hard ceiling in production AI. Achieving predictable throughput, fair sharing, and safe experimentation hinges on policy-driven isolation, dynamic scheduling, and rigorous observability rather than chasing the latest hype.
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Applied AI
Robustness testing against noise in production AI systems
Noise is a constant constraint in deployed AI systems. This article provides a pragmatic, production-ready approach to robustness testing against noisy inputs, covering data pipelines, evaluation, governance, and observability.
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Applied AI
ROI of Agentic AI on Working Capital and EBITDA
Agentic AI can compress cash conversion cycles and lift EBITDA when it is embedded in a disciplined data fabric, governance, and observable decision channels.
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Applied AI
ROI of Autonomous IT Operations in Production AI Environments
Autonomous IT operations deliver measurable ROI when they shorten outages, reduce toil, and accelerate AI-driven change in production.
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