.1TechnologyMay 5, 2026 Karina What Is the AI Context Layer, And Why It Changes Everything About Enterprise AIEnterprises are spending more on AI than ever, yet 95% of pilots deliver zero measurable ROI. The constraint is not weak foundational models. It is a fundamental lack of proper data context. The AI context layer sits between raw enterprise data and model output, delivering organizational knowledge at the exact point of inference.
.2Use CasesDecember 5, 2024 Aashima Revolutionize Your Patent Research with AI ToolsDiving into the world of patent research can be daunting. With millions of documents to sift through, finding the most relevant patents is like looking for a needle in a haystack. But what if there was a way to simplify this complex process?
.3TechnologyFebruary 24, 2023 Ada Tech Deep Dive: Linking entities to ontology and reinforcement – Extraction Part 3This is the 3rd and last part of unraveling the Extract tool, where we will take a closer look at how the entities are being linked to the Output Data Layout and what other information the client receives after the extraction is done.
.4TechnologyFebruary 10, 2023 Ada Tech Deep Dive: Parsing, entity extractions and variables linking – Extraction Part 2In this blog post, we will walk you through the process of text parsing, entity extractions and variables linking.
.5TechnologyJanuary 27, 2023 Ada Tech Deep Dive: Extraction of table data (and why it’s difficult) – Extraction Part 1The table data extraction is a multistage process and each of the stages has its own challenges. At Iris.ai, we split table data extraction into three downstream tasks – table location, table caption linking, table structure and data extraction.