Skip to Main Content

Artificial intelligence

AI System Observability Metrics

AI-native systems require observability beyond traditional metrics like latency and error rates to ensure accuracy, safety, and efficiency in responses.

AI Coding: Harder Engineering

AI coding tools accelerate development, but engineers must possess heightened discipline and knowledge to manage complex projects effectively.

Nvidia unveils Open Agent Safety Platform for AI governance

Nvidia launched the Open Agent Safety Platform to provide hardware-level security and runtime monitoring for autonomous AI agents across enterprise environments.

Measuring Generative AI ROI in Production

Organizations must define workflows, establish baselines, and account for all costs to accurately measure generative AI return on investment beyond initial pilots.

Enterprise AI Adoption: Beyond Model Capability

Enterprise AI success hinges on effective steering, control, and governance, not just powerful models. Organizations must redefine workflows to align AI agents with business outcomes and mitigate risks.

Microsoft Releases .NET SDK for Agent-User Protocol

Microsoft introduced a .NET SDK for AG-UI, an Agent-User Interaction protocol, developed with CopilotKit, enabling C# developers to standardize agent-to-application communication.

AI Infrastructure Spending Surpasses Historical Project Totals

The United States is projected to spend over 10 trillion dollars on artificial intelligence infrastructure by 2032.

Microsoft Copilot Unifies Enterprise Features

Microsoft's new Copilot super-app unifies chat, autonomous agents, and a redesigned coding environment for enhanced enterprise productivity.

Agent Development Lifecycle for AI Systems

Development teams require an Agent Development Life Cycle to manage non-deterministic AI agents, incorporating continuous evaluation, observability, and governance.

JetBrains Introduces AI Development System

JetBrains unveiled JetBrains Air, an open system managing AI-powered software development workflows for individual developers, teams, and organizations.

AI Model Cost Reduction

OpenAI and Anthropic significantly cut the per-token costs of their newest AI models, indicating a market shift towards price-performance and efficiency for enterprise adoption.

AI Automation in Network Operations

Network professionals increasingly rely on artificial intelligence to manage escalating network complexity, with a significant majority anticipating fully AI-led operations soon.

AWS CloudWatch Omni unifies AI agent observability

AWS launches CloudWatch Omni to provide a centralized monitoring environment for AI agents, applications, and infrastructure telemetry across cloud regions.

Optimizing AI Prompt Engineering Strategies

Master advanced prompt engineering techniques for large language models to enhance accuracy, reduce hallucinations, and achieve desired output formats.

Large AI Labs Face Regulatory Capture Allegations

Industry analysts suggest that major AI labs are pushing for safety regulations and independent audits to create financial barriers for smaller competitors.

Evaluate AI search results for accuracy and context

Information accuracy in AI search results depends on identifying four distinct answer types to determine if content requires further verification.

Anthropic Claude Models Assist in Self Development

Anthropic reveals that its Claude AI model now leads over a quarter of its own research and development tasks under human supervision.

Secure AI Agent Identity Using Post-Quantum Cryptography

Protect autonomous AI agent identities from future quantum computing threats by implementing post-quantum signatures and crypto-agile infrastructure today.

Data Preparation for AI Agents

Enterprises deploying autonomous AI agents must prioritize data quality, security, and observability to prevent system inaccuracies.

Radio spectrum management uses AI for airwave optimization

Artificial intelligence and dynamic spectrum sharing technologies are transforming how wireless frequencies are allocated to resolve growing data congestion issues.

IBM Expands Quantum and AI Reach via New Global Deals

IBM secures a quantum hub in Switzerland and launches a lunar AI model with NASA to strengthen its position in defense and space sectors.

Ethernet Speed Evolution Reaches 1.6 Terabit Milestone

Industry leaders finalize 1.6T Ethernet standards to meet massive AI bandwidth demands through advanced coherent optics and hardware interoperability.

OpenAI Agents API simplifies enterprise agent development

OpenAI launched a managed Agents API to help businesses build and scale AI agents by handling complex infrastructure and orchestration through a single interface.

Databricks Adaptive Instructed-Retriever model cuts AI costs

Databricks released a new adaptive retrieval model that optimizes enterprise AI search by balancing query complexity with computational expenses and speed.

Nvidia PAIR enables local AI cluster construction

Nvidia releases the PAIR beta tool to help users combine multiple PCs into a unified AI inferencing cluster across local area networks.

OpenAI GPT-6 Astra Cyber Risk Analysis

OpenAI released GPT-6 Astra, its latest large language model, which crosses a critical cybersecurity risk threshold, triggering enhanced deployment restrictions.

Predictive AI arrives in BigQuery

Google now offers a pre-trained foundation model for tabular data in BigQuery, enabling enterprise teams to generate predictions from structured data without extensive machine learning training.

Run and Train Local LLMs Using Unsloth Desktop

Unsloth Desktop provides an open-source solution for developers to manage, train, and run large language models on local workstations across multiple operating systems.

CrowdStrike Financial Results Show AI Security Demand Surge

CrowdStrike shares jumped 20 percent after the company reported record revenue growth and increased annual recurring revenue guidance for the fiscal year.

QuEra Automates Quantum Laser Maintenance with Anthropic AI

QuEra Computing uses Anthropic AI agents to create software that restores critical quantum laser systems in seconds, removing the need for on-site specialists.

Kubernetes 1.37 Enhances AI Scheduling and Networking

Kubernetes 1.37 introduces workload-aware scheduling and nftables networking to optimize the platform for intensive AI and machine learning tasks.