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EMA at 30: The Value of Consistency

Shamus McGillicuddy

Enterprise Management Associates (EMA) turns 30 this year. We're not the largest analyst firm, and we're not the loudest. What we have always strived to be is honest, independent, and reliable.

After three decades in this industry, we think those are the things that matter most.

The Challenge for Today's Buyers and Sellers

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment.

Technology markets are more competitive, fast-moving, and crowded than ever. Vendors face constant pressure to differentiate, explain increasingly complex products, and respond to rapidly changing buyer expectations. The result is a cornucopia of reports, white papers, webinars, demos, and perspectives … often well-intentioned, but difficult to evaluate in aggregate.

Today's buyers are moving beyond "quadrants" and asking harder questions like whether a product works in their environment, what the implementation really looks like, and what the trade-offs and "gotchas" are.

They require context, experience, and insight across multiple deployments, architectures, and organizational realities.

The challenge is clarity.

The Role of the Analyst Has Changed

Thirty years ago, analysts were translators. Documentation was sparse, and vendors weren't always great at explaining what their products actually did, so analysts helped buyers understand the options.

Today, many vendors have robust websites with videos, blogs, podcasts, white papers, and an AI chatbot ready to answer your questions.

The hard part is cutting through the marketing to understand what's real. Does a product actually do what the demo suggests? Is a new product category genuinely new, or is it a repackaging of a legacy technology?

Things have only gotten harder with AI. Every vendor is an AI company now. Cutting through that noise requires experience, skepticism, and a willingness to ask uncomfortable questions.

The analyst role has shifted from "explainer" to "the person who's seen this movie before."

What We've Tried to Be

EMA has never tried to compete with the largest firms on scale. We don't have scores of analysts, and we don't cover every category.

What sets us apart:

  • Independence: Our research is driven by what practitioners need to know, sometimes at the expense of a sale. That may not be a model that makes you the biggest, but it lets us say what we think.
  • Technical depth over breadth: We'd rather be the definitive source on five topics than a surface-level source on fifty. If we cover something, we cover it well.
  • Human judgment: In an age of AI-generated content, there's still value in a person who has the experience, will look you in the eye (or video camera), and tell you what they believe.
  • Consistency: Thirty years of showing up, building relationships, and earning trust through accuracy.

Why This Matters More Now

Even the most mature technology markets are experiencing disruption today, thanks to AI, cloud transformation, rising security threats, compliance requirements, and more. As new vendors emerge and try to define new categories, well-established vendors are trying to figure out their place in this volatile environment. Amidst this disruption, failure and disappointment are inevitable.

That's exactly when you need someone who's been observing the market long enough to recognize the patterns, who remembers what happened the last time vendors promised to solve all your problems, and who can ask the right questions.

Experience and independence are requirements for honest guidance in that environment.

Thirty Years

Thirty years is a long time. Long enough to see technologies come and go, vendors rise and fall, and categories reinvent themselves. Long enough to recognize when the fundamentals don't live up to the hype.

We're still here because we've earned trust by being consistent, independent, and honest. That's the only goal for the next thirty.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

EMA at 30: The Value of Consistency

Shamus McGillicuddy

Enterprise Management Associates (EMA) turns 30 this year. We're not the largest analyst firm, and we're not the loudest. What we have always strived to be is honest, independent, and reliable.

After three decades in this industry, we think those are the things that matter most.

The Challenge for Today's Buyers and Sellers

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment.

Technology markets are more competitive, fast-moving, and crowded than ever. Vendors face constant pressure to differentiate, explain increasingly complex products, and respond to rapidly changing buyer expectations. The result is a cornucopia of reports, white papers, webinars, demos, and perspectives … often well-intentioned, but difficult to evaluate in aggregate.

Today's buyers are moving beyond "quadrants" and asking harder questions like whether a product works in their environment, what the implementation really looks like, and what the trade-offs and "gotchas" are.

They require context, experience, and insight across multiple deployments, architectures, and organizational realities.

The challenge is clarity.

The Role of the Analyst Has Changed

Thirty years ago, analysts were translators. Documentation was sparse, and vendors weren't always great at explaining what their products actually did, so analysts helped buyers understand the options.

Today, many vendors have robust websites with videos, blogs, podcasts, white papers, and an AI chatbot ready to answer your questions.

The hard part is cutting through the marketing to understand what's real. Does a product actually do what the demo suggests? Is a new product category genuinely new, or is it a repackaging of a legacy technology?

Things have only gotten harder with AI. Every vendor is an AI company now. Cutting through that noise requires experience, skepticism, and a willingness to ask uncomfortable questions.

The analyst role has shifted from "explainer" to "the person who's seen this movie before."

What We've Tried to Be

EMA has never tried to compete with the largest firms on scale. We don't have scores of analysts, and we don't cover every category.

What sets us apart:

  • Independence: Our research is driven by what practitioners need to know, sometimes at the expense of a sale. That may not be a model that makes you the biggest, but it lets us say what we think.
  • Technical depth over breadth: We'd rather be the definitive source on five topics than a surface-level source on fifty. If we cover something, we cover it well.
  • Human judgment: In an age of AI-generated content, there's still value in a person who has the experience, will look you in the eye (or video camera), and tell you what they believe.
  • Consistency: Thirty years of showing up, building relationships, and earning trust through accuracy.

Why This Matters More Now

Even the most mature technology markets are experiencing disruption today, thanks to AI, cloud transformation, rising security threats, compliance requirements, and more. As new vendors emerge and try to define new categories, well-established vendors are trying to figure out their place in this volatile environment. Amidst this disruption, failure and disappointment are inevitable.

That's exactly when you need someone who's been observing the market long enough to recognize the patterns, who remembers what happened the last time vendors promised to solve all your problems, and who can ask the right questions.

Experience and independence are requirements for honest guidance in that environment.

Thirty Years

Thirty years is a long time. Long enough to see technologies come and go, vendors rise and fall, and categories reinvent themselves. Long enough to recognize when the fundamentals don't live up to the hype.

We're still here because we've earned trust by being consistent, independent, and honest. That's the only goal for the next thirty.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...