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 ...

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 ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

prompt = f""" Analyze the following product review and return a JSON object with these fields: - sentiment: Overall sentiment as one of 'very positive', 'positive', 'neutral', 'negative', 'very ...

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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 ...

Abstract: Cloud computing is significantly reshaping the computing industry built around core concepts such as virtualization, processing power, connectivity and elasticity to store and share IT ...