Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...
Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...
In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...
New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...
Generated continuously by the NetQuest Streaming Network Sensor (SNS) platform, NetworkLens delivers structured, high-value network intelligence across application activity, routing behavior, ...
As AI integration accelerates across SCADA, DMS, and OMS platforms, the absence of security-first architecture guidelines ...
Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.
The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a ...
AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...
From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent infrastructure powered by AI.
6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...
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