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AI Agents Don't Kill Document Processing. They Make It Inevitable.
There's a narrative that agents and LLMs will make documents obsolete. I think that's fundamentally wrong. Here's why document intelligence becomes the substrate layer for every autonomous system.
The End of 'We'll Build It In-House': 5 Document Processing Predictions for 2026
Why this is the year enterprises stop reinventing the wheel on document infrastructure. Buy vs. build finally tips—for non-core problems.
Making AI Data Extractions Trustworthy
This piece introduces a method for scoring the confidence of AI-generated structured outputs, like JSON
Model Context Protocol (MCP) and the AI-Native Era of Unstructured Data
MCP is not “just another integration standard.” It fundamentally changes how AI interacts with unstructured data, turning documents into agentic conversations.
Why GPT Alone Won’t Cut It for Real Document Extraction
LLMs are powerful—but not enough for production-grade document extraction. Here’s why real pipelines need structure-aware, multi-stage processing.
Cómo desbloquear el valor de los datos no estructurados
Las empresas acumulan datos sin usar. La IA Generativa convierte ese caos en innovación, eficiencia y ventaja competitiva.
Una Nueva Era: Los Nobel de Hopfield, Hinton y Hassabis y el Futuro de la Inteligencia Híbrida
Los Nobel de Física y Química 2024 reconocen el impacto histórico de la IA en la ciencia y la industria, inaugurando una era de colaboración humano-máquina.