Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Software is called "multi-tenanted" if a single instance can serve multiple tenants, and multi-tenancy is often referred to as an application "architecture." Cloud-native technology is challenging ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...