Elastic executive says AI context gap blocks agent ROI

The author explores the context problem limiting AI agent scalability in enterprises, noting that feeding unmanaged data directly into LLM context windows is computationally expensive and slow. According to Elastic executive Sri Desikan, organizations need to pre-conform corporate data into an AI index that stores metadata to help agents access useful information faster while reducing token burn and filtering out stale information. Open article →