The Inference Cost Death Spiral
Nobody's doing the math on what happens when every enterprise app has AI embedded. The economics are brutal if you don't manage them proactively.
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Nobody's doing the math on what happens when every enterprise app has AI embedded. The economics are brutal if you don't manage them proactively.
Retrieval-Augmented Generation was supposed to ground AI responses. Instead, it created new ways to fail. Here are the seven deadly failure modes we've catalogued in production.
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A social network for AI agents just exposed critical vulnerabilities in multi-agent systems. Here's what it means for Indian enterprises - especially in regu...
The emerging AI audit industry is largely checking boxes that don't matter. Here's what a real audit would look like - and why continuous monitoring beats po...
2025 was the year AI moved from pilots to production in Indian enterprises. Here's what worked, what didn't, and what we expect in 2026.
Nobody's doing the math on what happens when every enterprise app has AI embedded. The economics are brutal if you don't manage them proactively.
Retrieval-Augmented Generation was supposed to ground AI responses. Instead, it created new ways to fail. Here are the seven deadly failure modes we've catal...
While the West scrambles to build AI oversight from scratch, India already has the infrastructure. The layered regulatory framework everyone complains about ...
What the foundation model companies won't tell you about those impressive token counts. That 128K, 1M, or 2M context window? It's a theoretical maximum, not ...
Standard AI fairness tools check for race and gender bias. They miss caste, religion, region, and the intersections that matter in India. Here's a framework ...
Your model worked great at launch. Six months later, performance has quietly degraded. Here's how to detect drift before it becomes a crisis.
Indian documents break Western document AI. Multi-script headers, rubber stamps, hand-written annotations, and decades of accumulated formats require purpose...
Everyone talks about 'data staying in India.' But true AI sovereignty requires rethinking the entire stack - from model training to inference to governance.
Your model has 95% accuracy on the test set. Great. But accuracy doesn't tell you if it's reliable in production. Here's what to measure instead.
Your chatbot handles Hindi. It handles English. But when a user says 'Mera balance check karo please', it falls apart. Welcome to the code-mixing problem.
Most RAG implementations focus obsessively on retrieval. But we've found that generation quality, grounding, and citation accuracy are where enterprise RAG s...
The Digital Personal Data Protection Act is now being enforced. Here's what your AI systems need to change - with specific technical requirements and impleme...
Everyone is building AI agents. Few are running them successfully in production. Here's what we've learned from deploying agentic systems across Indian enter...
Your customer segments were created 18 months ago. Your NBA rules were written by someone who left. Meanwhile, your customers exist in a continuous, contextu...
Credit bureaus give you a number. Agentic AI gives you understanding. Here's how to build underwriting systems that see borrowers as economic actors in a con...
RBI has embedded AI governance expectations across multiple circulars covering IT governance, digital lending, and more. Here's what banks need to build - wi...
AICTE has established solid AI curriculum guidelines. But institutions face a challenge in bridging the gap between academic foundations and production AI sk...
Government AI projects claim sovereignty through data localization. But true sovereignty requires control over models, inference, and the entire AI supply ch...
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