Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

AI systems are now answering questions about your business. The problem is that they are often getting it wrong. Consider the typical situation. A brand’s products, services, expertise, locations, ...

Abstract: Multimodal Object-Entity Relation Extraction (MORE) is an emerging task in information extraction, which aims to extract object-entity relational facts from text and image data. Despite ...

GraphQL JPA Query library uses JPA specification to derive and build GraphQL Apis using GraphQL Java for your JPA Entity Java Classes. It provides a powerfull JPA Query Schema Builder to generate ...

This repository implements our EMNLP 2022 research paper. HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information ...

The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over… DBMSs are important ...

This is a continuation of a series of articles in which I briefly cover the main points of a specific topic in system architecture design. The previous article can be read here, and the complete guide ...