Powering Smarter AI And LLMs With The Right Data Strategy

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
ET CIO

Unlocking Dark Data: Expert Insights on Turning Unstructured Data into a Strategic Advantage with Intelligent Document Processing

Explore how intelligent document processing transforms dark, unstructured data into actionable intelligence—enabling faster ...

Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
The Lancet

CARDBiomedBench: a benchmark for evaluating the performance of large language models in biomedical research

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
IEEE

A Chiplet-Based Architecture with Fine-Grained Expert Mapping and Attention Fusion Strategy for High-Performance MoE-LLM Acceleration

Abstract: Mixture-of-Experts Large Language Models (MoE-LLMs) efficiently scale model size while minimizing proportional computation increase. However, conventional multi-device deployments face ...

How to optimize for AI search: 12 proven LLM visibility tactics

A roundtable of SEO’s most trusted voices explains how LLMs really surface brands, why shortcuts fail, and what's working now ...