Omdia Analysts' Perspectives: Page

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

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    Opinion // Omdia Analysts' Perspectives

    Preparing for the vital but complex era of AI

    AI is becoming essential, but its complexity pushes businesses to modernize legacy systems, consolidate platforms and expand AI-driven automation.

    By Scott Sinclair • May 26, 2026
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    Opinion // Omdia Analysts' Perspectives

    Data observability for AI helps curb poor model performance

    Data quality issues get amplified in AI applications. Models can produce confident -- but misleading -- forecasts and conclusions without observability safeguards.

    By Stephen Catanzano • May 26, 2026
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    Identity security for AI agents: The proliferation challenge

    Identity teams can accelerate AI adoption with strong security foundations. But managing nondeterministic AI agents is different from securing human identities and traditional NHIs.

    By Todd Thiemann • May 22, 2026
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    Opinion // Omdia Analysts' Perspectives

    What browser research tells us about the app landscape

    New Omdia research reveals Windows apps still outnumber browser apps in organizations, while unmanaged browsers like Safari and Firefox create potential security blind spots.

    By Gabe Knuth • May 19, 2026
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    Opinion // Omdia Analysts' Perspectives

    Tracing data lineage in AI systems

    Data lineage records how data moves through AI pipelines, turning model debugging, impact analysis and audits into queries rather than manual investigations.

    By Stephen Catanzano • May 18, 2026
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    Opinion // Omdia Analysts' Perspectives

    Understanding data contracts for AI projects

    AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding agreement between producers and consumers.

    By Stephen Catanzano • May 13, 2026
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    Opinion // Omdia Analysts' Perspectives

    Why enterprise AI stalls between pilot and production

    Most enterprise AI programs stall between pilot and production. Closing the operationalization gap requires trusted data, built-in governance and open interoperability.

    By Stephen Catanzano • April 23, 2026
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    Opinion // Omdia Analysts' Perspectives

    Canva is showing us a glimpse of knowledge work’s future

    With Canva AI 2.0, the company appears to be evolving from a design tool into a full-fledged, AI‑powered productivity platform that could reshape knowledge work.

    By Gabe Knuth • April 17, 2026
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    Opinion // Omdia Analysts' Perspectives

    Converged architecture is enterprise AI’s missing foundation

    Fragmented AI infrastructure fails in production. Converged data architecture with unified governance offers the path to reliable, scalable enterprise AI.

    By Stephen Catanzano • April 13, 2026
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    Opinion // Omdia Analysts' Perspectives

    RSAC 2026: End-user AI agents are here, but invisible

    Agentic AI dominated RSAC 2026 as vendors grappled with invisible AI usage, shadow tools, unsecured end‑user agents and a renewed focus on the endpoint.

    By Gabe Knuth • April 10, 2026
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    Opinion // Omdia Analysts' Perspectives

    RSAC 2026 recap: AI security and network security trends

    RSAC 2026 spotlighted AI security as a key theme. Explore insights on securing AI agents, enterprise browsers, sovereignty and platformization trends.

    By John Grady • April 7, 2026
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    Opinion // Omdia Analysts' Perspectives

    Identity security at RSAC 2026: The new enterprise dynamics

    Omdia analyst Todd Thiemann made the rounds at RSAC 2026 Conference, speaking with CISOs, practitioners and vendors to identify the latest shifts in identity and data security.

    By Todd Thiemann • April 7, 2026
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    Opinion // Omdia Analysts' Perspectives

    The database is the new battleground for enterprise AI

    Agentic AI puts new pressure on enterprise databases, exposing gaps in the data access, security enforcement and tooling fragmentation that block production deployment.

    By Stephen Catanzano • March 24, 2026
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    Why agentic AI demands both structured and unstructured data

    Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026.

    By Stephen Catanzano • March 10, 2026
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    Opinion // Omdia Analysts' Perspectives

    Apple just went down-market with MacBook Neo

    The $599 MacBook Neo marks Apple's push into budget laptops, offering basic specs but a strong ecosystem pitch to first‑time Mac users.

    By Gabe Knuth • March 5, 2026
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    Opinion // Omdia Analysts' Perspectives

    Why multimodal AI is reshaping enterprise intelligence

    Multimodal AI can transform industries by combining text, images, video and audio to solve complex problems single-modality systems often can't address.

    By Stephen Catanzano • March 4, 2026
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    Opinion // Omdia Analysts' Perspectives

    The promise and concern around end-user AI second brains

    Human-delegated AI agents and "second brains" could transform knowledge work, but only if IT can balance governance, data security and rising shadow AI risks.

    By Gabe Knuth • March 3, 2026
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    Opinion // Omdia Analysts' Perspectives

    What Nvidia’s $78B quarter tells you about enterprise AI

    Nvidia's latest earnings reveal more than impressive revenue figures. They highlight the accelerating adoption of enterprise AI and the growing pressure on infrastructure capacity.

    By Mike Leone • Feb. 26, 2026
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    Opinion // Omdia Analysts' Perspectives

    Real-time data streaming for AI: invest where it matters

    Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.

    By Stephen Catanzano • Feb. 25, 2026
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    Will 2026 be the year deepfakes go mainstream?

    Deepfakes are now so easy to create that anyone with a browser can make one. With cheap tools and abundant data, 2026 could be the year they go from novelty to mainstream threat.

    By Gabe Knuth • Feb. 20, 2026
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    The future of AI depends on better data, not bigger models

    AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems.

    By Stephen Catanzano • Feb. 17, 2026
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    Can AI save the storage admin?

    AI initiatives have created a surge of data, making traditional storage management insufficient. How much can AI help solve the issue it is creating?

    By Scott Sinclair • Feb. 17, 2026
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    Opinion // Omdia Analysts' Perspectives

    The operational reality of enterprise AI

    AI models are now commodities. It's enterprise challenges like security, scalability and integration are the real barriers to successful deployment.

    By Mike Leone • Feb. 2, 2026
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    Opinion // Omdia Analysts' Perspectives

    Building governance for machine speed: The path to trusted AI autonomy

    Governance systems need to match the speed of the AI agents they govern with real-time monitoring and dynamic enforcement. That's how companies balance autonomy and accountability.

    By Stephen Catanzano • Jan. 27, 2026
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    Opinion // Omdia Analysts' Perspectives

    The trust-at-speed paradox: Most data governance wasn’t built for AI

    Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production.

    By Stephen Catanzano • Jan. 27, 2026