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Moor Insights & Strategy

Broadcom Mainframe Software Analyst Summit: Meeting Enterprise AI At The Customer's Pace The Claude-ification Effect - Does Microsoft Copilot Cowork Offer Something New? MI&S Weekly Analyst Insights — Week Ending June 12, 2026 RESEARCH NOTE: Computex 2026 Shows How Infrastructure Fragments as AI Scales Is SAP's AI Transformation the Future of SaaS? - Pulse Brief OpenAI Flexes Enterprise Ambitions With Colin Fleming As Business CMO RESEARCH NOTE: Rayfin Turns Microsoft Fabric Into a Runtime for Agent-Built Apps RESEARCH NOTE: Google I/O 2026 — More Details on AI and AR Glasses, Including Project Aura BROADCAST ANALYSIS: Patrick Moorhead Discusses the AI Market, Semiconductors, SpaceX, and Big IPOs on The Street, June 10, 2026 At Cisco Live 2026, Cisco Bets The Network Is The AI Platform MI&S Weekly Analyst Insights — Week Ending June 5, 2026 Apple WWDC 2026 - Resetting Siri, OS Improvements, and Parental Controls BROADCAST ANALYSIS: Patrick Moorhead Discusses NVIDIA Computex, China Trade Restrictions, and Berkshire’s Google Investment on CNBC Asia, June 1, 2026 RESEARCH NOTE: Dell Makes Its Case for Owning the Enterprise AI Stack Microsoft Work Trend Index 2026 Shows AI Productivity Is Not Enough Huawei's Chip Claims, SpaceX IPO Insights, Network X, Starcloud, AT&T & Amazon Leo Updates RESEARCH NOTE: Can Intel Wildcat Lake Challenge Apple’s MacBook Neo and Make Cheap PCs Great Again? ANALYST INSIGHT: Tenstorrent Is Disrupting the Inference Market MI&S Weekly Analyst Insights — Week Ending May 29, 2026 RESEARCH NOTE: Panasonic TOUGHBOOK 56 Brings Much-Needed Updates to the Rugged Form Factor RESEARCH NOTE: Amazon’s Acquisition of Globalstar Accelerates Amazon Leo Ambitions RESEARCH NOTE: IBM Turns Sovereignty Into a Product ANALYST INSIGHT: Mission-Critical ERP Needs Mission-Critical Agents RESEARCH NOTE: Cadence Leans into EDA Super Agents at Cadence LIVE 2026 MI&S Weekly Analyst Insights — Week Ending May 22, 2026 RESEARCH NOTE: Distance Technologies Partners on Kia Vision Meta Turismo Concept Car Retail AI Requires a Fundamentally Different Approach to Implementation — Research Brief BROADCAST ANALYSIS: Patrick Moorhead Discusses NVIDIA Earnings on CNBC, May 20, 2026 Enterprises Need To Be Careful Before They Go All-In On Anthropic RESEARCH NOTE: AT&T, T-Mobile, and Verizon Create Unprecedented Joint Venture for D2D Satellite Simplicity
PULSE BRIEF: Cloud-Native Edge AI Platforms
2026-04-07 · via Moor Insights & Strategy

The AI Computing Continuum

Enterprise AI transforms how organizations monitor, plan, and operate — leveraging cloud infrastructure and datacenter resources to drive decisions at scale. AI also operates at the edge, where local inference enables real-time intelligence close to the data. But between these two worlds — enterprise AI and the operational systems that run physical infrastructure — the connections required for a true computing continuum rarely exist. Operational equipment, distributed facilities, and embedded systems remain poorly integrated with the enterprise AI infrastructure that organizations increasingly depend on.

This disconnect has deep roots. Enterprise IT advanced rapidly through two decades of cloud software, large-scale compute hardware, and AI innovation. But organizations that operate physical infrastructure — e.g., factories, energy systems, vehicles, medical equipment, telecommunications facilities — depend on edge computing systems engineered for fundamentally different priorities: industrial-grade reliability, deterministic control, extreme longevity in challenging environments, and unattended operation. These constraints shaped robust, specialized platforms that evolved in isolation from mainstream IT. Hence the AI discontinuity.

Previous attempts to bridge this gap misdiagnosed the problem. So-called “end-to-end solutions” have usually proven brittle, costly, and vendor-specific. Integration frameworks that attempted to reshape edge platforms into miniature enterprise systems ignored operational constraints and collapsed under their own weight. Moving AI as close to the data as possible is the smartest thing enterprises can do. But getting it there requires rethinking how enterprise and operational systems connect, not forcing impractical integration.

Click the image below to download and read the full analyst pulse brief:
Cloud-Native Edge AI Platforms

TABLE OF CONTENTS
The AI Computing Continuum
The Agentic AI Imperative
Closing the Gap
The Cloud-Native Edge
The Wind River Cloud-Native Edge Platform
Getting Started
The Agents Are Coming — Are Your Edge Systems Ready?

COMPANIES CITED
Wind River