Chanyi's unmanned live streaming digital human has pioneered a new model for live commerce, featuring the following characteristics and advantages: ...

Data Stream Processing engines have been recently proposed as a powerful tool to facilitate the analysis of network telemetry data. Motivated by the increasing amount of data to be analyzed, ...

Private employers added just 54,000 jobs in August, indicating a slowdown in the hiring market, according to ADP data ...

Artificial intelligence everyday benefits for you include smarter devices and improved efficiency at home and work.

Data stream processing has become a hot issue in recent years. There are three fundamental stream processing tasks: membership query, frequency query, and Top-K query. While most existing solutions ...

The architecture of the end-to-end data pipeline is designed to handle both batch and streaming data processing. Below is a high-level overview of the components and their interactions: ...

Programmatically extract data and apply schemas to unstructured documents across text-based and multi-modal content using Azure AI Foundry, Azure OpenAI, Azure AI Content Understanding, and Cosmos DB.

By combining data processing and AI processes, Streaming Agents allows enterprises to securely integrate tools, huge language models, and business systems, enabling context-aware automation and ...

Confluent announced Streaming Agents, a new capability in Confluent Cloud for Apache Flink that makes it easy to build and scale AI agents that monitor, reason, and act on real-time data. Streaming ...

Confluent has launched Streaming Agents to embed AI directly into data streams, addressing the enterprise challenge of moving AI agents from prototype to production by providing real-time data access ...