AI

AWS Agentic AI Platform: Bedrock Agent Core, Q, and More

AWS Agentic AI Platform: Bedrock Agent Core, Q, and More

AWS announced a sweeping set of agentic AI capabilities at its New York event, including the general availability of Bedrock Agent Core Harness, a new managed knowledge graph service called AWS Context, and a Release Agent inside AWS DevOps Agent. ECI Research examines what the announcements mean for enterprise IT buyers and developers navigating the prototype-to-production gap.

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AI Influencer Detection: How to Tell If a Creator Is Real

AI Influencer Detection: How to Tell If a Creator Is Real

Generative AI has made synthetic social media influencers nearly indistinguishable from real people. ECI Research analyzes the brand safety implications, the disclosure gap, and what enterprise teams and developers should do to prepare for a market where authenticity verification is becoming a core business requirement.

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Contact Center AI: Why Deployment Isn't Delivering Results

Contact Center AI: Why Deployment Isn’t Delivering Results

ReflexAI’s 2026 survey of 109 contact center leaders finds that AI tools are nearly universal but rarely effective. The root cause isn’t technology — it’s the broken handoff between training and QA that no current platform is built to bridge. ECI Research examines what this means for ITDMs, developers, and the vendors competing for this market.

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Closing the Enterprise AI Context Gap | ECI Research

Closing the Enterprise AI Context Gap with Relational AI

The enterprise AI market is discovering that larger models don’t fix a broken context architecture. Relational AI CEO Molham Aref argues that closing the AI value gap requires executable, relational context grounded in business semantics. ECI Research examines the implications for IT decision-makers managing token economics and developers building production-grade agent systems.

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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.

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Omnigent: Databricks Open Sources an AI Agent Meta-Harness

Omnigent: Databricks Open Sources an AI Agent Meta-Harness

Databricks has released Omnigent, an open source meta-harness that sits above existing AI agent frameworks to enable composition, governance, and real-time collaboration across agents. The Apache 2.0 release targets a critical gap in enterprise agentic AI: each harness today is a silo with no shared control plane. ECI Research analysis examines what this means for IT decision-makers managing agent sprawl and developers building multi-harness workflows.

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Pax8 Launches Managed Intelligence Provider Program for MSPs

Pax8 Launches Managed Intelligence Provider Program for MSPs

Pax8 announced its Managed Intelligence Provider Program and Managed Intelligence Services at Beyond 2026, giving MSPs a repeatable framework to deliver AI outcomes for SMB clients. The company also previewed an Agent Gateway for multi-tenant AI governance and expanded its Marketplace platform with subscription analytics and reporting tools. The announcements represent Pax8’s most direct move yet to reposition the MSP from technology reseller to AI orchestration partner.

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Databricks Data + AI Summit 2026: Unity AI Gateway and the Enterprise AI Governance Bet

Databricks Data + AI Summit 2026: Unity AI Gateway and the Enterprise AI Governance Bet

Databricks used its Data + AI Summit 2026 keynote to announce Unity AI Gateway, LTAP, Lakehouse//RT, Genie One, and CustomerLake. ECI Research analyzes what these announcements mean for enterprise AI governance, data architecture, and the competitive landscape across the platform market.

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AI Can't Replace These Skills: What Enterprises Should Know

AI Can’t Replace These Skills: What Enterprises Should Know

A June 2026 GoHumanize study identifies leadership, collaboration, and negotiation as the skills most resistant to AI automation. ECI Research analysts examine what the findings mean for enterprise workforce planning, AI governance, and the evolving role of developers in a mixed human-AI environment.

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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.

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