Summary
Many companies are finding that their artificial intelligence projects are not working as well as they hoped. While people often blame the AI models themselves, the real problem is usually the data. Boomi, a leader in software integration, says that "data activation" is the missing step that prevents AI from being successful. By fixing how data is organized and shared across different systems, businesses can finally see real results from their AI investments.
Main Impact
The biggest challenge for businesses in 2026 is not that AI technology is bad, but that the information feeding it is a mess. Most companies have their data spread across many different apps and old systems that do not talk to each other. This creates a situation where the AI gets confused or gives wrong answers because it is looking at conflicting information. Boomi’s focus on data activation aims to solve this by creating a single, clear way for AI to understand all of a company's information at once.
When data is activated, it moves from being stuck in a digital warehouse to being a live part of the business process. This allows AI agents—software programs that can perform tasks on their own—to work reliably. Without this step, AI remains a risky experiment rather than a helpful tool. Boomi reports that companies only start to see a real return on their money once they stop focusing only on the AI and start focusing on the quality of the data behind it.
Key Details
What Happened
Boomi recently shared data from its own customer base, which includes more than 30,000 organizations worldwide. They found that over 75,000 AI agents are already running in production using their tools. To help these companies, Boomi launched a new system called Meta Hub. This tool acts like a central dictionary for a company’s data. It ensures that every AI agent uses the same definitions for things like "customer" or "product," no matter where that information comes from.
The company also updated its platform to handle data from SAP, a very common software used by large businesses. In the past, getting data out of SAP was slow and manual. Now, Boomi allows this data to be pulled out instantly as it changes. They also added better tracking for AI agents working with Snowflake, a popular data storage service. This gives managers a clear record of what their AI is doing and why it made certain decisions.
Important Numbers and Facts
Boomi’s growth shows how much businesses are prioritizing this issue. More than 25% of the Fortune 500 companies now use Boomi’s platform. In March 2026, the company received high marks from major industry analysts. Gartner named Boomi a leader in its field for the twelfth year in a row, specifically praising its ability to get things done. Another group, IDC, also recognized Boomi as a leader because of its strategy to use APIs—the digital bridges between software—to power AI workloads.
Background and Context
For decades, companies have bought different software for different jobs. They might use one system for sales, another for shipping, and a third for accounting. These systems were never meant to work together perfectly. This created "data silos," where information is trapped in one place and formatted in a unique way. When a human looks at these systems, they can usually figure out the differences. However, an AI needs very clear and consistent rules to function correctly.
As businesses try to move from just testing AI to using it for daily work, these silos have become a major roadblock. If the AI sees one price in the sales system and a different price in the accounting system, it won't know which one is right. Data activation is the process of cleaning, labeling, and connecting all this information so the AI has a "single source of truth" to follow.
Public or Industry Reaction
Industry experts are starting to agree that the old way of connecting software is changing. Analysts from Gartner noted that being "AI-ready" is now the most important feature for any integration platform. It is no longer enough to just move data from point A to point B. The platform must also make sure the data is governed, which means it follows strict rules and is kept safe. The positive ratings from both Gartner and IDC suggest that the market is moving away from simple data storage and toward the "activation" model that Boomi is promoting.
What This Means Going Forward
The next year will be a turning point for many AI projects. Companies that continue to ignore their messy data will likely see their AI projects fail or stay stuck in the testing phase. On the other hand, businesses that invest in data activation will be able to let their AI agents handle more complex tasks with less supervision. We can expect to see more tools that focus on "governance," which is the practice of keeping a close eye on how AI uses data to ensure it stays within legal and ethical boundaries.
Final Take
The success of AI does not depend on how smart the software is, but on how good the information is that we give it. Boomi’s push for data activation highlights a simple truth: you cannot build a high-tech future on top of a messy past. Companies must clean up their data house before they can expect AI to run it effectively.
Frequently Asked Questions
What is data activation?
Data activation is the process of taking data from different storage spots and turning it into a live, organized stream of information that AI systems can easily understand and use to take action.
Why is fragmented data a problem for AI?
When data is fragmented, it is stored in different formats across many apps. This causes AI to get confused by conflicting information, leading to errors or unreliable results in business tasks.
What is Boomi Meta Hub?
Meta Hub is a central system that creates standard definitions for a company's data. It ensures that all AI agents and software systems are using the same logic and information when performing tasks.
