MLOps

Enterprise AI Data Readiness: Why Data, Not Models, Blocks ROI

Enterprise AI Data Readiness: Why Data, Not Models, Blocks ROI

An estimated 60–80% of enterprise AI initiatives never reach production. The bottleneck isn’t the model or the GPU. It’s fragmented, ungoverned data scattered across hybrid and multi-cloud environments. ECI Research analyzes what this means for ITDMs, developers, and vendors competing in the AI data platform market.

Enterprise AI Data Readiness: Why Data, Not Models, Blocks ROI Read More »

Airbyte 2.1: Building the AI Data Movement Layer Enterprises Need

Airbyte 2.1: Building the AI Data Movement Layer Enterprises Need

Airbyte released version 2.1 of its data movement platform alongside a Forrester TEI study showing 239% ROI. ECI Research analysts examine the business case, competitive positioning, and what the Airbyte Agents initiative signals about where enterprise AI data infrastructure is headed.

Airbyte 2.1: Building the AI Data Movement Layer Enterprises Need Read More »

AWS Agentic AI Platform Shifts from Generation to Delivery | ECI Research

AWS Agentic AI Platform Shifts from Generation to Delivery

AWS has unveiled a broad expansion of its AI platform, introducing continuous security remediation, autonomous background agents, and a unified data layer called AWS Context. The announcements signal a strategic shift from AI as a productivity tool to AI as a continuously operating enterprise system. ECI Research examines what the announcements mean for IT decision-makers and developers evaluating agentic AI investments.

AWS Agentic AI Platform Shifts from Generation to Delivery Read More »

PMI's AI Project Management Standard: What It Means for Enterprise Governance

PMI’s AI Project Management Standard: What It Means for Enterprise Governance

PMI has published the world’s first global standard for AI in portfolio, program, and project management. The technology-agnostic framework covers AI life-cycle governance, risk management, and EU AI Act alignment. ECI Research analysis examines what it means for ITDMs, developers, and the enterprise AI governance market.

PMI’s AI Project Management Standard: What It Means for Enterprise Governance Read More »

OpenSharing Project: Open Protocol for AI Asset Interoperability

OpenSharing Project: Open Protocol for AI Asset Interoperability

The Linux Foundation has launched the OpenSharing Project, an open protocol for sharing AI models, agent skills, and data across organizational and platform boundaries. Contributed by Databricks and built on the Delta Sharing foundation, the project targets the fragmentation problem at the heart of enterprise agentic AI deployments. ECI Research analysts break down what this means for ITDMs evaluating AI platforms and developers building multi-agent systems.

OpenSharing Project: Open Protocol for AI Asset Interoperability Read More »

AMD Developer Day 2026: Betting Big on an Open AI Platform

AMD Developer Day 2026: Betting Big on an Open AI Platform

AMD used Developer Day 2026 to lay out a comprehensive open AI platform strategy spanning Ryzen AI endpoints, ROCm-unified software, and Instinct-class data center GPUs. The announcements signal AMD is competing on ecosystem openness, not just silicon, targeting sovereign AI deployments and on-premises enterprise inference. ECI Research analysis examines what this means for infrastructure buyers and AI developers.

AMD Developer Day 2026: Betting Big on an Open AI Platform Read More »

Qdrant Series B: The Case for Production Vector Search | ECI Research

Qdrant Series B: The Case for Production Vector Search | ECI Research

Qdrant has closed a Series B and launched a public beta of edge-based vector search, signaling a structural shift away from PGVector and Lucene-based extensions. ECI Research examines what the enterprise migration wave means for ITDMs navigating data sovereignty requirements and developers building agentic AI applications at scale.

Qdrant Series B: The Case for Production Vector Search | ECI Research Read More »

Airbyte Agents: Context Infrastructure for Production AI Agents

Airbyte Agents: Context Infrastructure for Production AI Agents

Airbyte has launched Airbyte Agents, a context infrastructure layer that pre-replicates enterprise data into a unified, search-optimized index before AI agents run. The product targets the data reliability failures behind most agent production breakdowns, not model quality. ECI Research analyzes what this means for enterprise AI buyers and engineering teams building on MCP and custom SDKs.

Airbyte Agents: Context Infrastructure for Production AI Agents Read More »

IREN Acquires Mirantis: AI Cloud Delivery Gets an Operational Layer

IREN Acquires Mirantis: AI Cloud Delivery Gets an Operational Layer

IREN Limited has agreed to acquire Mirantis for approximately $625 million in stock, adding Kubernetes-based orchestration, operational tooling, and enterprise support to its AI Cloud platform. The deal signals a broader market shift in which raw GPU capacity is no longer sufficient to win enterprise AI workloads. ITDMs and platform engineers should evaluate AI infrastructure vendors on their full operational stack, not just compute availability.

IREN Acquires Mirantis: AI Cloud Delivery Gets an Operational Layer Read More »

Anaconda Desktop: One Tool for Local AI Development

Anaconda Desktop: One Tool for Local AI Development

Anaconda has launched Anaconda Desktop in public beta, consolidating local LLM inference, conda environment management, and a curated model catalog into a single free application. The release targets the fragmented local AI development stack and builds on Anaconda’s established Python ecosystem footprint. ECI Research analysis examines what the announcement means for developers, IT decision-makers, and the competitive landscape.

Anaconda Desktop: One Tool for Local AI Development Read More »