Telmai, the AI-powered data observability platform, today announced its Agentic offerings to make enterprise data truly Autonomous-Ready. These new capabilities ensure agentic AI workflows can ...

F, outlines an approach that involves real-time data ingestion, foundation model fine-tuning and agentic workflows.

IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...

MemSQL announced that its distributed in-memory database can now provide JSON analytics, to deliver a consolidated view of structured and semi-structured data, including standard enterprise and social ...

This is a preview. Log in through your library . Abstract In the analysis of semi-competing risks data interest lies in estimation and inference with respect to a so-called non-terminal event, the ...

In our initial article we examined the lesser-discussed but quickly expanding use of generative artificial intelligence (gen AI) systems that leverage large language models (LLMs) to query data stored ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...