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Nivetha Purusothaman, Dr. William Cunningham

Agentic AI costs more than you budgeted. Here's why.

Agentic AI deployments often exceed budgets because teams focus on development costs while overlooking operating expenses: token usage, governance, evaluation infrastructure, security, and scaling all compound rapidly. Most enterprises don't model these hidden costs until they're already absorbing them in production. Accurate ROI requires forecasting the full total cost of ownership, not just initial build.See more

6dNivetha Purusothaman, Dr. William Cunningham
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Nivetha Purusothaman, Dr. William Cunningham

How to achieve zero-downtime updates in large-scale AI agent deployments

DataRobot explores deployment strategies for AI agents at scale, addressing the unique challenge that agent failures are silent—hallucinations, context loss, and token budget overruns occur without alerting operators. The post frames zero-downtime updates as critical for maintaining agent reliability in production environments.See more

13dNivetha Purusothaman, Dr. William Cunningham
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Computational Intelligence

Weekly Review 17 April 2026

Weekly AI roundup curating 22 stories spanning business integration, regulation, and technical failures. Key themes: enterprises spending heavily on AI despite marginal returns (30% of projects pay off), regulators (China, California) tightening safety rules, and persistent reliability concerns (Google AI Overviews wrong 10% of the time, medical AI hallucinates without image input). Widening gap between AI hype and practical business value.See more

3dComputational Intelligence
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