​Nextdata OS Product Update: Data 3.0- Domain-Centric Semantic Context for AI Agents

​As enterprises push AI agents into real operational use, many encounter the same barrier: agents may be intelligent, but without domain-centric semantic context, authority, and clear boundaries, they can’t operate safely or effectively at scale. The result is familiar: brittle integrations, growing complexity, rising costs, and risk that outpaces value.

​Join Zhamak Dehghani, Founder and CEO of Nextdata, and Jörg Schad, Head of Engineering, on March 24, 2026 at 8:30 AM PT, for the first public introduction of new semantic capabilities in Nextdata OS that extend the contextual fabric of autonomous data products, enabling safer and more reliable agent behavior in complex enterprise environments.

​Instead of coordinating agents through centralized logic or fragile workflows, domains expose governed business capabilities via agent-consumable APIs. Autonomous data products organize data, semantics, policies, health signals, and usage context around real business concepts—not infrastructure artifacts.

​This allows agents to operate with domain-grounded context, where meaning and decision authority remain local to domains while enterprise policies are enforced consistently across the organization.

​The result: agentic systems that move faster, remain simpler to reason about, and behave reliably as scale increases.

​In this session, Nextdata will introduce new capabilities that strengthen the semantic foundation of autonomous data products:

• ​A business glossary that establishes shared semantics across data products

• ​Explicit relationships between products so agents and humans understand dependencies and context of use

• ​Templates and standards that guide humans and agents in building well-structured semantic models

• ​Embedded governance policies that constrain agent behavior by default

• ​Clear domain ownership combined with globally enforced policies

• ​Governance becomes a structural boundary for safe autonomy, rather than a brake on innovation

​You’ll also see a live demo scenario where domain-specific agents operate within their own governed domains. Because data products expose explicit semantics and relationships, agents can predict how actions affect adjacent domains and when data is appropriate to use.

​When demand spikes, pricing adjusts, inventory validates capacity, and marketing shifts spend—coordinating through stable domain contracts rather than shared tables or custom glue code.

​Clean boundaries. Trusted context. Better cross-domain decisions.

​This session is for data, platform, and AI leaders designing agentic systems inside complex, federated enterprises—where autonomy is non-negotiable, but simplicity, reliability, and scale are essential.

​Why it matters:

​Domain-centric autonomous data products enriched with shared semantics give AI agents the contextual grounding they need to reason and act safely across domains—reducing complexity while enabling reliable execution at scale.

​Reserve your seat to see how Data 3.0 makes enterprise AI safe, scalable, and quicker to deliver.