Omdia Analysts' Perspectives

Intelligence and advice powered by decades of global expertise and comprehensive coverage of the tech markets.


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    3 things to know from NetApp Insight 2026

    The news from NetApp's annual conference highlighted agentic AI's impact on data storage. Here's what enterprise IT decision-makers can take away from these announcements.

    By Scott Sinclair • Oct. 9, 2026
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    AgenticOps becomes a priority in IT infrastructure purchases

    Omdia research shows that many orgs are modernizing their IT infrastructure to speed AI adoption or making built-in AI capabilities a must-have for new infrastructure investments.

    By Scott Sinclair • Oct. 2, 2026
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    Brand Experience Team/TechTarget
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    Omnissa One 2026: What stood out for the agentic end-user era

    Highlights from Omnissa's annual event included a hosted MCP server, an AI governance tool, a virtual desktop agent, the Cloud PC DaaS platform -- plus a new CEO appointment.

    By Gabe Knuth • Oct. 1, 2026
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    Brand Experience Team/TechTarget
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    How the ‘Great Storage Squeeze’ impacts infrastructure strategies

    AI's storage and memory demand is outpacing the supply, and a majority of organizations are feeling the effects, according to Omdia research. Here's how IT leaders are responding.

    By Simon Robinson • Sept. 30, 2026
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    Oktane ‘26 brings clarity to AI agent identity security

    Many organizations are prioritizing agentic AI initiatives, but identity security remains a challenge. Okta's recent announcements aim to address the risks posed by AI agents.

    By Todd Thiemann • Sept. 29, 2026
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    Lenovo extends virtualization support as AI complicates decisions

    As many organizations look to replace their primary hypervisor, IT leaders must balance optimizing for their AI strategy while minimizing disruption to legacy VM-based environments.

    By Scott Sinclair • Sept. 21, 2026
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    Beyond the hype: A strategic AI roadmap to tangible returns

    For organizations investing in AI projects, realizing ROI can be rife with obstacles. These three tips can help leaders define and find success in their enterprise AI initiatives.

    By Scott Sinclair • Sept. 18, 2026
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    Splunk .conf26: Context, control for Cisco’s AI agents at scale

    With its Splunk integration, Cisco shows how organizations can prepare enterprise platforms for AI agents by adding context for informed decisions and control over agent actions.

    By Torsten Volk • Sept. 17, 2026
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    Making sense of cybersecurity’s converging categories

    AI is eliminating the dividing lines that once delineated technologies such as vulnerability management and network security. Enterprises have to find a new way to evaluate vendors.

    By Todd Thiemann • Sept. 3, 2026
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    Five pressures that break AI programs after the pilot

    Pilot-phase shortcuts leave enterprises with fragmented pipelines that cost too much to scale. Data foundations, rather than model capability, decide which programs reach production.

    By Stephen Catanzano • Aug. 18, 2026
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    Microsoft Perception: Adding agents and retooling AI’s costs

    With Project Perception, Microsoft offers a multi-agent path for finding and fixing vulnerabilities. And the company has ideas on containing AI security costs.

    By Todd Thiemann • Aug. 4, 2026
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    AI doesn’t need an unstructured data dump -- move what matters

    Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs.

    By Stephen Catanzano • July 24, 2026
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    Over 600 CVEs: Mythos’ effect on vulnerability and patch management

    Microsoft's July Patch Tuesday broke records by addressing over 600 CVEs. What does this reveal about the effect that AI models have on vulnerability and patch management?

    By Gabe Knuth • July 23, 2026
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    Why AI writing can’t be great

    In today's rapidly changing writing landscape -- just kidding. Most readers are savvy enough to recognize specific phrases as AI tells. Why does AI write like that, and why does it matter?

    By Gabe Knuth • July 21, 2026
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    To make policy, policymakers should use AI

    Too often, policymakers base their organization's policies for AI usage on what they read in the news instead of first-hand experience working with the latest AI features.

    By Gabe Knuth • July 15, 2026
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    AI agent failures offer hidden value for enterprises

    Most agent pilots will never reach production, but these failures can prove useful to data operations. Organizations should look to the 2010s mobile app boom for guidance.

    By Stephen Catanzano • July 1, 2026
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    Securing data against AI attacks can’t be a side project

    The same AI capabilities that power enterprise innovation also give attackers machine-speed access to database vulnerabilities, demanding a shift in how organizations protect data.

    By Stephen Catanzano • June 30, 2026
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    AI agents push enterprises toward unified data governance

    Enterprises facing data sprawl and growing risks from autonomous agents need unified governance and runtime controls to manage agent access and actions they can take.

    By Stephen Catanzano • June 30, 2026
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    HPE Discover 2026: Lessons in optimizing AI economics

    HPE Discover 2026 highlighted four ways to improve AI ROI: modernize networks, control token costs, automate IT ops and reduce legacy infrastructure expenses.

    By Scott Sinclair • June 24, 2026
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    Data modeling is having a moment, and AI is the reason

    Data modeling defines how enterprise data is structured and governed, and it has become the foundation for trustworthy AI, cloud migration and compliance.

    By Stephen Catanzano • June 23, 2026
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    Zscaler lays out its vision to secure the AI era at Zenith Live

    Zscaler's Zenith Live event revealed AI-focused innovations like Enterprise Browser and ZAgent Framework, positioning zero trust at the core of AI security.

    By John Grady • June 17, 2026
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    Cisco advances AI infrastructure services at Cisco Live

    Cisco Live 2026 showcased advancements in AI infrastructure, emphasizing AI-ready data centers, digital resilience and the new Cisco Cloud Control for better management.

    By Jim Frey • June 9, 2026
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    Dell Technologies World responds to the four winds of AI

    AI's rapid adoption is fundamentally transforming enterprise IT infrastructure. Learn how Dell is responding to these changes from its announcements at Dell Technologies World.

    By Scott Sinclair • June 8, 2026
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    Context is the make-or-break layer for AI in production

    Your AI model might not be the reason it fails in production. Missing or unclear context throws off the model, leading to untrustworthy outputs that the business can't act on.

    By Stephen Catanzano • June 4, 2026
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    Turning data into intelligence for the AI native era

    Dell addresses AI implementation challenges -- data differentiation, hybrid workloads, token costs and infrastructure flexibility -- through its expanded AI portfolio.

    By Simon Robinson • May 26, 2026