New capability expands detection coverage across security data that will never be centralized Federated Detections let ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

The problem isn’t tools or data volume. It’s architectures, decision cycles, and how teams are built to respond.

Learn how sportsbooks set odds. We break down odds compilation engines, from raw data ingestion and probability models to ...

As part of this momentum, EdgeLake has introduced an implementation of the Model Context Protocol (MCP), enabling AI agents and Large Language Models (LLMs) to access and reason over live edge data ...

Abstract Security partners with Netskope to bring real-time detection into security data streams - SiliconANGLE ...

Abstract Security, the leader in streaming-first security data operations, today announced a partnership with Netskope to provide joint customers the ability to bring detection directly into the data ...

Arango's multi-model, graph-powered platform provides a unified contextual data layer that supports reasoning, transparency, and scale across AI-driven financial systems, preserving shared business ...

Building on this milestone, the collaboration embeds AI-driven forecasting directly into frontline biosecurity operations, enabling XWELL teams to collect more samples from more locations by ...

Robotics is forcing a fundamental rethink of AI compute, data, and systems design Partner Content Physical AI and robotics ...

Artificial Intelligence (AI) is rapidly becoming part of everyday health care, supporting diagnosis, documentation, triage, treatment planning, and ...

Tredence collaborates with Snowflake to deliver end-to-end AI-driven intelligence enabling energy organizations to accelerate modernization and harness AI-driven insights at scale SAN JOSE, Calif., ...