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Why your enterprise AI strategy needs both open and closed models: The TCO reality check
Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.
Navigating a Patent Gap for AI and Machine Learning Algorithms
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
InfoWorld2d
Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective
A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...
IBM sees enterprise customers are using ‘everything’ when it comes to AI, the challenge is matching the LLM to the right use case
Real-world deployment patterns show customers using multiple AI models simultaneously, forcing a fundamental shift in ...
IEEE2d
Model-Driven Software Engineering in Robotics: Models Are Designed to Use the Relevant Things, Thereby Reducing the Complexity and Cost in the Field of Robotics | IEEE Journals ...
A model is an abstract representation of a real system or phenomenon [1]. The idea of a model is to capture important properties of reality and to eglect irrelevant details. The properties that are ...
IEEE5d
Edge Computing architecture to support Real Time Analytic applications : A State-of-the-art within the application area of Smart Factory and Industry 4.0 | IEEE Conference ...
Edge Computing architecture to support Real Time Analytic applications : A State-of-the-art within the application area of Smart Factory and Industry 4.0 Abstract: The implementation of the vision of ...
Computer Weekly5d
Cyber Skills Today for Economic Growth Tomorrow
The DPA Cyber Skills today for Economic Growth Tomorrow meeting discussed how employers seek changing skills to help them succeed against evolving cyber security challenges.