AI Implementation in Self-Hosted Analytics by Gooddata: Powerful, Reliable, and Privacy-Focused
In a significant move, GoodData, a leading data and analytics platform, has announced its partnership with organisations in the public safety sector to deliver secure, self-hosted AI capabilities. This initiative aims to help law enforcement agencies work more efficiently, accelerate investigations, and enhance community safety.
GoodData's AI-Ready Analytics Lake, built on a unified, high-quality data foundation, supports scalable, real-time AI interactions. The company is committed to bringing trusted, explainable AI to every analytics interaction, ensuring that the results are transparent and easy to understand.
GoodData's self-hosted AI environment ensures full data privacy and control, operating within a compliant, cloud environment that aligns with regulatory standards such as GDPR, HIPAA, and others. This means that enterprises can run GoodData AI entirely within their own infrastructure - on-premises or in a private cloud.
The self-hosted GoodData AI offers a conversational, natural language interface, allowing users to explore data without needing SQL or MAQL knowledge. Key features include natural language queries, interactive visualization generation, contextual conversation, smart search capabilities, and optimized resource utilization.
The AI Assistant and Smart Search, designed for self-hosted deployment, remember prior questions within each workspace, enabling a continuous and context-aware interaction. They also enable searching for specific dashboards, visualizations, metrics, facts, and attributes directly within the chat interface. Moreover, only metadata is sent to the AI language model; raw data remains securely within GoodData.
GoodData's API-first architecture enables seamless integration with existing tools and infrastructure, making it easy for enterprises to embed, automate, and integrate AI into any enterprise workflow or application. The company's Model Context Protocol (MCP) Server Beta program is still available for developers to leverage these capabilities.
GoodData's composable, multi-tenant architecture supports scalability, security, and governance for enterprise environments and facilitates integration with various data sources and AI features like Smart Search and conversational analytics.
For more information about GoodData and its self-hosted AI capabilities, visit their website or follow them on LinkedIn, YouTube, and Medium. With these advancements, GoodData continues to empower enterprises with advanced AI-driven analytics while maintaining full control over data security and resource management.
- GoodData, a technology firm, has partnered with public safety sector organizations to deliver self-hosted AI capabilities, aiming to enhance efficiency, speed up investigations, and bolster community safety.
- GoodData's AI-Ready Analytics Lake, a unified, high-quality data foundation, powers scalable, real-time AI interactions, and the company is dedicated to ensuring transparent, explainable AI in every analytics interaction.
- GoodData's self-hosted AI environment operates within a cloud setting that complies with regulatory standards like GDPR and HIPAA, allowing enterprises to run AI entirely within their own infrastructure.
- The self-hosted GoodData AI offers a conversational, natural language interface for exploratory data analysis without requiring SQL or MAQL knowledge, along with features like natural language queries, interactive visualization, contextual conversation, and smart search capabilities.
- The AI Assistant and Smart Search, designed for self-hosted deployment, maintain historical context within each workspace, fostering continuous and context-aware interactions, and they enable searching for specific dashboards, visualizations, and data directly within the chat interface.
- GoodData's API-first architecture enables easy integration with existing tools and infrastructure, and its Model Context Protocol (MCP) Server Beta program is available for developers to leverage these capabilities, empowering enterprises with advanced AI-driven analytics while maintaining control over data security and resource management.
