Analytics

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The utilization of software to extract insights or significance from data, which can lead to the creation of reports, status indications, or automated actions based on the received information. Analytics involves the exploration and transmission of meaningful patterns found in data. It encompasses two aspects: utilizing descriptive and predictive models to extract valuable knowledge from data (data analysis), and utilizing this understanding to suggest actions or provide guidance for decision-making (communication). Therefore, analytics focuses not only on individual analyses or steps within the analysis process, but on the entire methodology as a whole.

https://www.microsoft.com/en-us/research/group/software-analytics/ external-link

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Catena-X data ecosystem U.S. expansion: AIAG hub at IMDS-AIAG 2024

Catena-X partners with AIAG to launch a North American hub, advancing data sharing for sustainability in automotive supply chains. Their innovative approach uses Web3 technology for secure, scalable, and efficient data exchange, including live demonstrations of Product Carbon Footprint tracking.

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Chris S. Langdon

Nov 20, 2024

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Dansk Data Space Forum: T-Systems demonstrates the accessibility and value of dataspaces

The Danish Data Space Forum and Gaia-X Hub launch showcases how businesses can securely share data using advanced dataspaces. T-Systems offers accessible, standardized solutions enabling organizations to focus on unlocking economic benefits rather than managing complex technology, supporting all industries in leveraging dataspaces effectively.

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Nina Popanton

Nov 15, 2024

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The Global Data Space family gathers in Vienna: A day of innovation and insight

The Global Data Spaces Connect in Vienna highlighted the transition from technical exploration to practical, business-driven applications of dataspaces. With insights from experts like Wolfgang Ebner, Nina Popanton, and Sofie Verbrugge, the event showcased cross-domain innovations, sustainable business models, and real-world applications in fields such as smart cities and healthcare. Leaders emphasized the importance of collaboration, robust business cases, and scalability, underscoring dataspaces' potential to transform industries.

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Nina Popanton

Nov 13, 2024