Abstract: Model-Driven Engineering (MDE) places models at the core of system and data engineering processes. In the context of research data, these models are typically expressed as schemas that ...
dq-testing-framework/ ├── README.md # This file ├── requirements.txt # Python dependencies │ ├── airflow/dags/ │ └── dq_validation_dag.py # Hourly DAG (generates + tests + reports) │ ├── docker/ │ ├── ...
January 2026 marks the start of a new reporting era under the amended Common Reporting Standard (CRS). The OECD released the CRS XML Schema v3.0 and User Guide v4.0 in October 2024. Most jurisdictions ...
Move first on ChatGPT Commerce to earn visibility compounding from fresher feeds, clean schema, and stronger trust signals before rivals catch up. Ship Product, Offer, and Review schema, refresh feeds ...
ETL is no longer just about moving data; it’s about making it think. Across industries, the silent shift toward intelligent data pipelines is redefining how enterprises respond to change. Pipelines ...
AI’s moving too fast for old rules — MAESTRO gives banks a smarter, layered way to secure next-gen generative and agentic AI systems. Artificial Intelligence (AI) is advancing at a pace that outstrips ...
A comprehensive validation and testing framework for the Deep Thinking Protocol (DTP). Includes tools for XSD validation, constitutional compliance, and SCXML state machine execution, with a rich ...
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In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by defining the ...
IBM’s MCP Gateway: A Unified FastAPI-Based Model Context Protocol Gateway for Next-Gen AI Toolchains
The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that bridge diverse models, tools, and resources. IBM’s MCP Gateway addresses this ...
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