AI Agent Competitive
Intelligence
Intelligence Journeys
AI Use Cases for Utilities
Start New Project →
Private Broadband for Utilities
Start New Project →

NLP

The 5 Core Components of AI Agents: Perception, Learning, Reasoning, Action & Communication

The Core Components of AI Agents: How They Perceive, Learn, Reason, Act, and Communicate
AI agents rely on five core components: perception, learning, reasoning, action, and communication. This guide explains how each component works, how memory, planning, and tool use fit into modern agent architectures, and how these capabilities are applied across industries. See how your own company compares across the broader telecom AI agent ecosystem — vendors, OSS/BSS providers, system integrators, and operators.

Arm opens Armv9 edge AI via Flexible Access

Arm opens Armv9 edge AI via Flexible Access
Arm has expanded its Flexible Access licensing model to include its Armv9 edge AI platform, lowering the cost and friction for OEMs and startups to develop on-device AI at scale. The platform combines the ultra‑efficient Arm Cortex‑A320 CPU with the Arm Ethos‑U85 NPU, enabling on‑device inference for models with roughly billion‑parameter complexity while maintaining tight power budgets. Security is a first‑class feature set, with architectural protections such as Pointer Authentication, Branch Target Identification, and Memory Tagging to harden critical software at the edge. Availability is staged: Cortex‑A320 will enter Flexible Access in November 2025, followed by Ethos‑U85 in early 2026.

Is AI Underperforming in Telecom? Challenges, Use Cases & the Road Ahead

Is AI Underperforming in Telecom? Challenges, Use Cases & the Road Ahead
The telecom sector once hailed AI as a game-changer, but is it delivering? This article explores why many operators report low ROI on AI tools, and how legacy systems, cultural resistance, and regulatory hurdles stall adoption. Despite challenges, AI shows targeted promise in predictive maintenance, fraud detection, and 5G network slicing.

AI in E-Commerce: How Small Businesses Can Compete with Giants

AI in E-Commerce: How Small Businesses Can Compete with Giants
AI is helping small businesses compete with the big guys in e-commerce, making it easier to offer personalized shopping, provide instant customer support, and streamline operations. From smart chatbots to inventory management and fraud detection, small businesses now have access to powerful tools that boost growth without breaking the bank. In this article, we explore how AI is leveling the playing field and share practical tips for small businesses to stay competitive in today’s digital world.

What Are AI Agents? How They Work, Benefits & Examples

What Are AI Agents? Key Features, Benefits & Industry Impact
What are AI agents? AI agents are intelligent software systems that perform tasks autonomously, adapt to new data, and make context-aware decisions. Unlike traditional automation, AI agents use machine learning, NLP, and advanced analytics to improve efficiency, reduce costs, and drive business growth. Explore their key features, benefits, and industry applications in this in-depth AI Agent Blog Series.
See how your own company compares across the broader telecom AI agent ecosystem — vendors, OSS/BSS providers, system integrators, and operators.
AI Agent for Telecom Competitive Intelligence

Partner Hubs

Download content, access intelligence tools, and hear from executives.

Partner Events

  • FutureNet Asia 2026
  • Network X Vienna 2026
Scroll to Top