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LEGOAI is an innovative platform designed to simplify AI implementation and data modernization for enterprises. It achieves this by creating a connected data ecosystem that eliminates technical debts from the start, enabling organizations to harness the full potential of AI technology. Key Features and Capabilities: Connected Data Ecosystem: LEGOAI creates a connected data ecosystem that streamlines AI implementation and data modernization efforts. Data Models: The platform generates entity-centric and semantic data models to enhance data organization and utilization. Business Glossaries: LEGOAI provides AI-based business glossaries to facilitate a common understanding of data terminologies across the organization. Data Federation: It employs data federation technology to bridge the gap between data producers and consumers, ensuring seamless data flow. Decentralized Data Ecosystem: LEGOAI targets organizations in the process of building decentralized data ecosystems and offers tools to accelerate this journey. Data Monetization: The platform assists enterprises in monetizing their data modernization initiatives by integrating a data marketplace. Technical Architecture: LEGOAI’s technical architecture focuses on providing robust and enterprise-grade solutions, leveraging open-source software. AI Governance: LEGOAI aims to govern AI implementation effectively through AI governance. AI Experience Design: The platform enhances user experience through AI experience design. AI as a Product: LEGOAI delivers AI as a product, ensuring its practical application within organizations. Summary: LEGOAI is an enterprise-focused platform that simplifies AI implementation and data modernization by creating a connected data ecosystem. It offers a range of tools and components, including data models, business glossaries, and data federation technology, to expedite AI use cases. LEGOAI targets enterprises establishing decentralized data ecosystems and provides solid enterprise-grade solutions to control AI implementation effectively.

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