Enterprise IT Strategy

Globalgig Bets on Managed Security Consolidation Across AI and Edge

Globalgig Bets on Managed Security Consolidation Across AI and Edge

Globalgig has announced a consolidated managed security portfolio spanning five attack surface layers, built on Palo Alto Networks and delivered through a single accountable team. The move targets enterprises struggling with fragmented vendor accountability and rising AI governance demands. ECI Research data shows that security context gaps and tool sprawl remain the dominant barriers to unified security posture.

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Mirantis k0rdent Certified for High-Performance GPU Virtualization

Mirantis k0rdent Certified for High-Performance GPU Virtualization

Mirantis has earned NVIDIA-Certified Hypervisors program validation for its k0rdent AI platform, demonstrating GPU virtualization performance within 5% of bare metal on NVIDIA GB200 NVL72 hardware. The certification supports multi-tenant AI factory deployments where flexibility and performance have historically been in tension. A unified VM and Kubernetes control plane is the platform’s broader architectural bet.

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AI Budget Accountability: FinOps, Tokenomics, and the Governance Gap

AI Budget Accountability: FinOps, Tokenomics, and the Governance Gap

AI spend is materializing faster than the governance frameworks needed to manage it. The FinOps Foundation’s August content cluster addresses the convergence of FinOps, Tokenomics, and ITAM, but the harder problem is organizational: nobody clearly owns AI spending. ECI Research data from the public sector illustrates how far the compliance and accountability gap extends.

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Enterprise AI ROI: Why Proof of Value Is Now Non-Negotiable

Enterprise AI ROI: Why Proof of Value Is Now Non-Negotiable

Enterprise AI adoption has entered a new phase defined by ROI accountability. As early initiatives fail to deliver expected returns, buyers are demanding verifiable business outcomes before committing. This note examines what that shift means for vendors, procurement teams, and the broader enterprise AI market.

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Why AI Operationalization Is the Real Enterprise Challenge

Why AI Operationalization Is the Real Enterprise Challenge

AI adoption is accelerating, but operationalization remains the hard problem. ECI Research analyst Paul Nashawaty and LiveOps COO Molly Moore break down why governance, workflow design, and accountability structures determine which AI investments actually deliver customer outcomes. The gap between pilot and production is a leadership challenge before it’s a technology challenge.

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NVIDIA Secures 8 IT-GW AI Campus in Ohio With OpenAI

NVIDIA Secures 8 IT-GW AI Campus in Ohio With OpenAI

NVIDIA has secured 8 IT-GW of AI compute capacity at the PORTS-Pike Technology Campus in Ohio, with OpenAI as the 20-year anchor tenant. The move repositions NVIDIA from a chip supplier into a vertically integrated AI infrastructure guarantor, with significant implications for GPU availability, cloud pricing, and enterprise infrastructure strategy.

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Why AI Management Skills Are Your Real ROI Gap | ECI Research

Why AI Management Skills Are Your Real ROI Gap | ECI Research

Matt Gjertsen, founder of BUILT and former SpaceX training lead, argues in his new book that AI underperformance is a management problem, not a technology problem. Every employee who interacts with AI tools must develop the skills to direct, evaluate, and course-correct AI outputs. ECI Research data on AI tool adoption and security risk exposure supports the urgency of that argument.

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AI Token Cost Governance: What a $1,000 Mistake Teaches Enterprises

AI Token Cost Governance: What a $1,000 Mistake Teaches Enterprises

Maxio CEO Branden Jenkins accidentally exceeded his AI token budget by $1,000 in a single weekend, then turned the mistake into a team training program. The episode reveals a broader enterprise gap in AI cost governance that ITDMs and developers can no longer afford to ignore.

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AI VC Concentration: Where Capital Is Missing | ECI Research

AI VC Concentration: Where Capital Is Missing | ECI Research

Venture capital’s concentration in AI is creating pricing risk for enterprise buyers and opportunity gaps in quantum security, tokenization, and blockchain infrastructure. ECI Research data shows developer innovation time remains constrained, raising questions about where the next engineering frontier actually sits.

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