Why every organisation needs an AI data manager in 2026

Register on the Curiosity website for live and on-demand access: https://www.curiositysoftware.ie/why-every-organisation-needs-an-ai-data-manager-in-2026-webinar

Join Curiosity’s Huw Price, Chairman and Co-Founder, and Toby Richardson, Solutions Engineer, to discover how intelligent AI agents can help you overcome data complexity, improve coverage and understanding, and stay ahead of regulatory demands.

Traditional data management is failing data rich enterprises

Data is the lifeblood of every modern enterprise, but managing it has never been more complex. With AI reshaping software delivery, compliance and innovation, 2026 demands a new approach: the rise of the AI data manager.

Every test case, every scenario, every automation run depends on having the right data, at the right time. Yet today’s enterprises face a complex set of data challenges:

• Data silos and application complexity - Enterprise data is scattered across disconnected systems, making alignment and provisioning painfully slow. Without intelligent governance, inconsistencies multiply, change becomes difficult to track and testing grinds to a halt.
• Rising regulatory and compliance pressure - Regulations such as GDPR, the AI Act, DORA and sector-specific standards now demand real-time control of sensitive data. Using production data for testing exposes organisations to breaches, penalties and reputational risk.
• Volume, coverage and quality at odds - Teams need vast, varied data for testing and AI training, but poor-quality, redundant or biased data leads to inflated costs and degraded performance. Striking the balance between volume, coverage and accuracy is now a strategic necessity.
• Infrastructure and scalability limits - Traditional databases and provisioning tools weren’t built for the scale and complexity of today’s AI-driven workloads. Bottlenecks in data delivery frustrate teams, slow innovation and delay AI adoption across the enterprise.

How an AI data manager can transform your data

An AI data manager is more than a tool, it’s your intelligent copilot for enterprise data. By combining machine learning, advanced profiling and intelligent automation, it becomes the central brain that orchestrates, governs and optimises data in real time across your entire ecosystem.

In this webinar, you’ll explore how an AI data manager enables a new level of agility, control and intelligence through:

• Centralised and connected enterprise data: Infuse AI into data operations to automatically detect, prepare and deliver the right data to the right teams at the right time. By removing bottlenecks and manual steps, AI agents ensures clean, structured and compliant data drives innovation and decision-making.
• AI Accelerated automation and delivery: Eliminate fragmentation and complexity by building a single, version-controlled view of your enterprise data landscape. An AI data manager can unify definitions, relationships and dependencies across systems, improving data quality, consistency and governance.

• Smarter data design and generation: Move beyond manual data creation with intelligent, synthetic data generation that mirrors real-world systems. Coverage-driven AI models ensure every scenario is tested, every dependency is understood and data provisioning is fully automated across environments.
• Robust data governance and monitoring: AI-powered governance keeps your data secure, compliant, and consistent across every environment, automatically. While intelligent monitoring anticipates risks and removes data bottlenecks, helping you maintain speed and confidence throughout production.

Meet our speakers, data management experts:

This session is ideal for AI leaders, data scientists, compliance officers and enterprise architects looking to modernise their data strategies for 2026 and beyond.

Toby Richardson - Solutions Engineer

Toby is a test data expert with over a decade of experience helping some of the world’s largest enterprises solve complex data challenges. He specialises in streamlining data delivery across the entire software development lifecycle, leveraging AI and model-driven approaches.

Huw Price - Chairman & Co-Founder

Described as “The Godfather of test data”, Huw is a serial test data inventor and has worked with the world’s largest organisations to transform their test data management. With Curiosity Software, Huw leads on crafting innovative solutions to drive test data and quality success for our enterprise customers.