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What is the XMANAI Minimum Viable Product (MVP)?
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8 March 2022
In XMANAI, the exploration of the Explainable AI landscape, the analysis of the business requirements from its 4 demonstrators and the elicitation of the technical requirements have culminated with the definition of the Minimum Viable Product (MVP).
XAI in Manufacturing
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11 February 2022
The implementation of Artificial Intelligence (AI) in the manufacturing domain enables higher production efficiency, and outstanding performance.
Data Asset Management in XMANAI
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19 January 2022
The management of assets in XMANAI should meet a number of critical requirements. One of them is the explainability of data, since Explainable AI is the main objective in the project.
XMANAI partner spotlight – Tyris AI
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29 October 2021
Name: Dr. David Monzo Job Title: Director of AI Organization: Tyris AI: Bio: Dr. David Monzo is the technical director and main investigator at Tyris AI.
Archives
- XMANAI partner spotlight – UNIMETRIK
- AI Algorithms Lifecycle Management and Collaboration
- XMANAI partner spotlight – Knowledgebiz
- XMANAI partner spotlight – UBITECH
- A First Glimpse into the XMANAI platform
- XMANAI partner spotlight – Whirlpool
- Overview requirements
- XMANAI partner spotlight – Athena Research Center
- Industrial Assets Provenance in XMANAI
- XMANAI partner spotlight – Innovalia Association
- The Draft Catalogue of XMANAI XAI Models
- XMANAI´s Evaluation Framework
- XMANAI partner spotlight – Suite5
- XMANAI Reference Architecture: Perspectives
- Security Aspects of Industrial Data Management
- XMANAI partner spotlight – AiDEAS
- What is the XMANAI Minimum Viable Product (MVP)?
- XAI in Manufacturing
- Data Asset Management in XMANAI
- XMANAI partner spotlight – Tyris AI