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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 – 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
- XMANAI partner spotlight – Politecnico di Milano
- Education role in AI technology implementation in industry
- XMANAI partner spotlight – Fraunhofer FOKUS
- AI Requirements for Manufacturing in the XMANAI Project
- Have you ever heard about Graphical Neural Networks?
- A brief overview of XAI Landscape
- XMANAI partner spotlight – TXT e-solutions
- Outlook on the XMANAI industrial demonstration cases
- Why we should make use of AI in the manufacturing industry?
- Human Aspects in Decision making and AI
- Moving from “black box” to “glass box” Artificial Intelligence in Manufacturing, with XMANAI