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Databricks Data+AI Summit 2026 Takeaways

Author's takeaways from the 2026 Databricks Data+AI Summit.

The author discusses their observations and criticisms of Databricks' approach to context and AI governance, including their use of Unity Catalog and Genie Ontology. They argue that Databricks is prioritizing a solution for AI agents over semantic interoperability across systems. The author also emphasizes the importance of governance and automation in data management.

Based on: Databricks Data+AI Summit 2026: My Honest No-BS Takeaways · juansequeda.substack.com

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Modern Data 101 Community

A community and resource hub for modern data professionals.

The Modern Data 101 Community is a platform that provides insights, resources, and expert opinions on modern data practices. It offers articles, podcasts, and webinars on topics such as data product maturity, analytics, and AI/ML. The community also features a directory of top experts in the data space and allows users to connect with peers and industry leaders.

Based on: Modern Data 101 Community · moderndata101.com

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Symbol Grounding Framework — Summary

A public-domain protocol for machine-to-machine understanding.

The Symbol Grounding Framework is a six-layer stack that enables governable machine meaning. It provides a shared, grounded, typed, and refusable language for machines to communicate with each other. The framework aims to solve the problem of ungrounded claims by structurally failing admission when dependencies or temporal bounds are missing.

Based on: Symbol Grounding Framework — Summary · symbolgrounding.io

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Ontology Alignment Evaluation Initiative::2025

Evaluation campaign for ontology matching technologies.

The Ontology Alignment Evaluation Initiative (OAEI) is a yearly evaluation campaign that assesses the performance of ontology matching systems. The 2025 campaign includes various tracks, such as T-Box/Schema matching, Multifarm, and Knowledge Graph Track, which evaluate different aspects of ontology alignment. The goal is to provide a comprehensive assessment of ontology matching technologies.

Based on: Ontology Alignment Evaluation Initiative::2025 · oaei.ontologymatching.org

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OWOX Model Canvas

A visual editor for data models in the Open Knowledge Format (OKF)

OWOX Model Canvas is a free, anonymous canvas for drawing data models. It allows users to create and share data models using templates, AI-generated insights, and exportable OKF format.

Based on: GitHub - OWOX/owox-model-canvas: OWOX Model Canvas — visual editor for data models in the Open Knowledge Format (OKF) · github.com

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Modern Data 101

A Substack publication discussing modern data challenges, solutions, and innovations.

The resource is a collection of articles on various topics related to modern data, including data quality, decision-making, AI systems, and data governance. It features contributions from multiple authors and covers a range of subjects relevant to knowledge graphs, ontologies, and semantic web. The publication aims to provide insights and solutions for professionals working with complex data systems.

Based on: Modern Data 101 | Animesh Kumar | Substack · moderndata101.substack.com

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SHACLens: a visualization workflow for SHACL violation exploration in knowledge graphs

A visualization workflow for exploring SHACL violations in large knowledge graphs.

The paper presents SHACLens, an interactive visualization workflow that links ontology, instance data, and violation reports across multiple coordinated views. The workflow is designed to help analysts identify co-occurring errors and their likely upstream causes. An evaluation of the workflow using a transcriptomics dataset showed that it efficiently surfaced repeated sets of errors due to missing objects and schema inconsistencies.

Based on: Frontiers | SHACLens: a visualization workflow for SHACL violation exploration in knowledge graphs · frontiersin.org

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Building Reliable Agentic AI Systems

A case study on building a production-ready agentic AI system using Retrieval-Augmented Generation (RAG) and multi-agent workflows.

The resource presents the Preclinical Information Center (PRINCE), an agentic AI system developed by Bayer AG with Thoughtworks to address pharmaceutical industry challenges in drug development. PRINCE leverages RAG to integrate decades of safety study reports, enabling researchers to pose complex questions and receive accurate answers. The system prioritizes trust through transparency, explainability, and human-in-the-loop integration.

Based on: Building Reliable Agentic AI Systems · martinfowler.com

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AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning

A paper proposing AgentGL, a paradigm for agentic graph learning using reinforcement learning.

The authors introduce AgentGL, a framework that equips large language models (LLMs) with graph-native tools for multi-scale exploration and decision-making. They demonstrate the effectiveness of AgentGL on various Text-Attributed Graph benchmarks, achieving significant improvements over existing methods. The paper contributes to the development of LLMs' agentic capabilities in navigating complex relational environments.

Based on: AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning · arxiv.org

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Annex IV: Technical Documentation Referred to in Article 11(1) | EU Artificial Intelligence Act

A section of the European Union's AI Act, outlining technical documentation requirements for high-risk AI systems.

This annex provides detailed technical documentation requirements for high-risk AI systems under the EU AI Act. It outlines specific documentation needs and obligations for providers and deployers of such systems. The document is part of the broader EU AI Act framework, which aims to regulate AI development and deployment in the European Union.

Based on: Annex IV: Technical Documentation Referred to in Article 11(1) | EU Artificial Intelligence Act · artificialintelligenceact.eu

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Trarian - Commercial Dispute Resolution

Attorney-backed commercial dispute resolution service offering demand letters and case review.

Trarian provides a platform for businesses to resolve commercial disputes through attorney-backed services. The platform offers a free case review, demand letters on law firm letterhead, and escalation to partner firms if necessary. Trarian's team includes licensed attorneys with experience in big-law litigation and AI underwriting.

Based on: Trarian — They owe you money. We help you collect it. · trarian.co

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PixelRAG

A scalable pixel-native search engine that renders documents as screenshots and retrieves over the images directly.

PixelRAG is a visual search engine that uses screenshot tiles to retrieve information from web pages. It claims to be more efficient than traditional text-based retrieval methods, especially for tables, charts, and layout. The system consists of two core operations: rendering documents to screenshots and searching a visual index. PixelRAG also provides a pre-built index of 8.28M Wikipedia pages.

Based on: GitHub - StarTrail-org/PixelRAG: The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/ · github.com