Experience AI-Ready Data in Action

You know how data management is supposed to work. Data should be easy to find. Quality issues should be caught before they move downstream. Integration should be fast and automated. Governance should help teams use data confidently. And increasingly, data needs to support AI.

But what does that really look like in practice?

Sometimes the best way to understand what modern data management can do is to see it in action. Actian’s interactive product tours show AI-ready data in practice: trusted discovery, proactive data quality and observability, automated integration, and governed conversational analytics, all built on the same foundation.

Here are four places to start:

1. See How to Turn Data into Trusted Intelligence

Finding data is rarely a challenge for organizations. The more pressing issue is knowing whether you’ve found the right data and whether you can trust it, especially for AI.

Trust matters more than ever. As enterprises deploy AI agents and assistants across operations, a critical problem emerges: AI models are only as reliable as the data and context they can access. Without trusted metadata, business definitions, lineage, and governance, AI can operate with incomplete context, increasing the risk of inaccurate or unreliable results.

Actian Data Intelligence Platform addresses this head-on by connecting AI agents, analysts, and other data users to a continuously governed semantic layer. The composable platform unifies data intelligence, data quality, and observability, and conversational analytics to give analysts and AI the context they need to discover, trust, and confidently use enterprise data.

By bringing together metadata management, governance, lineage, and data quality capabilities, the platform helps turn your data catalog into a trusted intelligence layer for both people and AI. The platform also includes a federated knowledge graph, Data Steward Agent, and capabilities for building contract-backed data products.

GEMA uses the Actian Data Intelligence Platform to advance its data-to-AI strategy, achieving 140% ROI and €1 million in annual cost avoidance while putting 11 AI models into production. See how GEMA is turning trusted data into AI value.       

Tour the Actian Data Intelligence Platform to experience the solution in action.

2. Stop Data Problems Before They Stop Your Business

A broken dashboard is frustrating. When an AI application or business leader makes decisions based on stale, incomplete, or inaccurate data, the consequences can spread much further. Those consequences can range from flawed decisions and operational disruptions to poor customer experiences, lost revenue, and increased risk.

The problem is that many data quality issues aren’t discovered until they’ve already moved downstream into a dashboard, report, AI model, or customer-facing application. By then, teams are reacting to the problem instead of preventing it.

Actian Data Observability helps change that. It gives data teams continuous visibility into the health of their data so they can identify anomalies, investigate issues, and address problems early.

That’s what makes data observability different from simply checking whether a pipeline ran successfully. The goal is to know whether the data itself can be trusted.

With Actian Data Observability, you can find problems closer to their source, investigate issues, and surface deviations from expected behavior before unreliable data affects decisions, applications, or AI models.

Independent analysts have recognized Actian’s approach to data observability. ISG Research named Actian an “Exemplary” provider in its 2025 Data Observability Buyers Guide, with a B++ overall grade and particularly strong results for customer experience. See why ISG Research recognized Actian for data observability.

Explore how it works: Take the Actian Data Observability tour.

3. Keep Data Moving Fast Without Complexity

Trusted data only drives decisions and revenue when it reaches the people, applications, and systems that need it, when they need it. Most organizations lose time and consume resources by manually building integrations across cloud apps, databases, on-premises systems, APIs, and file sources

DataConnect helps stop that waste. You can quickly build, deploy, and scale integrations across cloud, on-premises, and embedded environments. No custom coding required, and no integration bottlenecks. You design data flows once, reuse them, and embed data governance throughout.

For organizations managing increasingly distributed data environments, that means less time spent building one-off connections and more opportunity to create repeatable, governed data flows.

See how quickly DataConnect connects your sources, automates workflows, and ensures data quality at every step.

For Ebix Health, that speed has translated into measurable results. Using DataConnect, the company reduced development time for new integrations and custom reports by 50% while enabling on-the-spot adjustments during customer calls. Read the Ebix Health customer story.

See how quickly DataConnect connects your sources, automates workflows, and ensures data quality at every step. Explore DataConnect with a live demo.

4. Turn Business Questions into Trusted Answers

Finding trusted data is only part of the challenge. Business users also need a fast way to turn that data into answers without waiting for analysts to build another dashboard or report.

Actian AI Analyst brings conversational analytics directly to business users. They can ask questions in natural language and receive trusted answers, reports, and insights grounded in governed business logic, without writing SQL.

Unlike conversational analytics tools that simply generate queries against raw data, AI Analyst runs on a governed semantic layer that defines metrics, relationships, glossary terms, and other business context before analysis begins. The Steward Agent helps generate and continuously maintain that semantic foundation, while preserving context across follow-up questions for deeper analysis.

AI Analyst can also move beyond one-off questions by creating reports and continuously monitoring business performance, helping teams identify important changes and surface insights without repeatedly checking static dashboards.

The need is significant: research shows that data teams spend 60% of their time on repetitive requests, while 70% of business data goes unused for decision-making. AI Analyst is designed to reduce those bottlenecks by giving business users governed, conversational access to enterprise data.

Take the Actian AI Analyst tour to see governed conversational analytics in action.

Go Beyond Individual Tools to the Full Data Value Chain for Enterprise AI

Each of these demos shows how Actian solves an important piece of the data management challenge. Together, they demonstrate a unified approach to discovering, governing, connecting, monitoring, and activating enterprise data.

Enterprise AI requires trusted context, reliable data, AI-ready infrastructure, and intelligent ways to turn data into action. Actian brings these capabilities together across the data value chain.

See what that looks like in practice.

Take an interactive product tour or book a demo today.

About Author

About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale. Organizations trust Actian data management and data intelligence solutions to streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud, and hybrid environments. Learn more about Actian, the data and AI division of HCLSoftware, at actian.com.