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SCANDIC TRADE Ultimate 2.6 är färdigutvecklat – SNC SCANDIC ECO-Systemet är nu komplett
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SCANDIC TRADE Ultimate 2.6 je hotový – systém SNC SCANDIC ECO je kompletní
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SCANDIC TRADE Ultimate 2.6 jest gotowy – system SNC SCANDIC ECO jest kompletny
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تم الانتهاء من تطوير SCANDIC TRADE Ultimate 2.6 – وبذلك أصبح نظام SNC SCANDIC ECO متكاملاً
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Record July heat in regions home to 900 mn people: AFP analysis
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SCANDIC TRADE Ultimate 2.6が完成――SNC SCANDIC ECOシステムが完成しました
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स्कैंडिक ट्रेड अल्टीमेट 2.6 अब पूरा हो गया है – SNC स्कैंडिक इको-सिस्टम अब पूरी तरह से चालू है।
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Embattled Infantino target of letter from three confederations
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SCANDIC TRADE Ultimate 2.6이 완성되었습니다 – SNC SCANDIC ECO-시스템이 완성되었습니다
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SCANDIC TRADE Ultimate 2.6 已正式推出——SNC SCANDIC ECO 系統現已完整建置
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SCANDIC TRADE Ultimate 2.6 завершена — экосистема SNC SCANDIC стала полноценной
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SCANDIC TRADE Ultimate 2.6 завершено — екосистема SNC SCANDIC стала повноцінною
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SCANDIC TRADE Ultimate 2.6 is now complete – the SNC SCANDIC ECO-System is now fully operational
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Chinese AI drives price competition among US labs
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One woman confirmed dead in western Canada wildfire
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Typhoon Dolphin weakens but disrupts travel in east China
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Asian stocks track Wall St higher after US job losses ease rate fears
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Pakistan brickmakers scorched by sun above and fire below
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Western Europe experienced hottest June-July on record: EU monitor
GoodData Launches Agent Builder for Enterprise AI
Enterprises can now deploy governed analytics agents in minutes, with full control over configuration, context, and scale.
SAN FRANCISCO, CA / ACCESS Newswire / April 22, 2026 / GoodData, the AI-powered analytics and decision intelligence platform, today announced the launch of Agent Builder, a new capability that expands its platform with a dedicated environment for building, configuring, and scaling AI agents across the enterprise.
Agent Builder enables organizations to move beyond single-purpose AI assistants and instead deploy multiple, purpose-built analytics agents that can be precisely configured, governed, and scaled across customers, workspaces, and user groups. The launch addresses a growing enterprise challenge: while organizations are rapidly moving from experimentation to production with AI agents, consistent, secure, and scalable deployment across business units remains difficult without significant custom engineering.
From Experimentation to Enterprise Scale
While most analytics vendors have introduced basic agent functionality in recent months, enterprises are discovering that the real challenge is not building an agent-it is operationalizing and scaling custom agents that are reliable, governed, and context-aware across complex environments.
Agent Builder is designed to close that gap by enabling teams to launch production-ready agents in minutes while maintaining full control over behavior, data access, and deployment structure.
Three Core Principles Behind Agent Builder
Easy Development: Code or No-Code
Users can create agents using natural language or templates, configuring role, skills, personality, knowledge, and access through an interface-no coding required. Advanced users can extend agents via API.
Context Connected by Default: Grounded and Governed
Agents are automatically connected to live, permission-aware enterprise data via GoodData's governed semantic layer, AI Memory, and AI Knowledge, ensuring consistent and compliant outputs.
Pre-Built Agent Framework: Observable and Traceable
Agents use a structured reasoning framework that plans tasks, selects tools, executes steps, and adapts within guardrails. Every action is fully observable and auditable.
Built for Enterprise Control, Observability, and Scale
Agent Builder provides centralized control over skills, personality, knowledge, and permissions, enabling organizations to tailor agents for specific teams and use cases without engineering effort. All agents include built-in tracing, performance monitoring, and usage analytics across users, workspaces, and deployments, ensuring full observability throughout their lifecycle.
Organizations can deploy tailored agents for analysts, business users, developers, and data engineers, each designed to support their specific workflows and requirements. Built for enterprise scale, Agent Builder supports multi-tenant deployments, allowing a single agent configuration to be rolled out across hundreds of customer environments while maintaining governance and consistency. GoodData is also extending support for API-triggered execution and emerging agent standards, including MCP and A2A.
"We kept hearing the same thing: the agent works, but getting it into production takes too long, and once they're live, there's not enough control over configuration and governance," says Peter Fedorocko, Field CTO, GoodData. "That gap exists because the pieces were never made configurable and scalable in one place. Agent Builder closes it. You go from blank slate to governed, production-ready agent in minutes and deploy it everywhere without rebuilding anything."
About GoodData
GoodData is an AI-native decision intelligence platform built to help enterprises turn trusted data into confident action. Designed for governed, scalable analytics, GoodData enables organizations to operationalize insights, automate decisions, and embed intelligence directly into products and business workflows.
With a composable architecture and a governed semantic layer at its core, GoodData ensures AI-powered analytics are transparent, auditable, and aligned with how enterprises define and trust their data. GoodData serves over 123,000 of the world's leading companies and 3.9 million users.
Contact
© 2026 GoodData Corporation. All rights reserved. GoodData is a registered trademark of GoodData Corporation in the United States and other jurisdictions. Other names and brands may be claimed as the property of others.
SOURCE: GoodData
View the original press release on ACCESS Newswire
M.Carneiro--PC