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  2. Mei-Ling Shyu - Wikipedia

    en.wikipedia.org/wiki/Mei-Ling_Shyu

    Mei-Ling Shyu is a computer scientist whose research involves deep learning for multimedia-related big data analytics. She is a professor of electrical and computer engineering at the University of Missouri–Kansas City. [1]

  3. University of Missouri–Kansas City - Wikipedia

    en.wikipedia.org/wiki/University_of_Missouri...

    The University of Missouri–Kansas City (UMKC or Kansas City) is a public research university in Kansas City, Missouri, United States. UMKC is part of the University of Missouri System and has a medical school. [19] For the 2023-2024 academic year, the university's enrollment was over 15,300 students. [20]

  4. Ganna Pogrebna - Wikipedia

    en.wikipedia.org/wiki/Ganna_Pogrebna

    Ganna Pogrebna (born 4 July 1980) is a British behavioural data scientist, decision theorist, educator, author, and academic writer. [1] She currently serves as the Lead for Behavioral Data Science at the Alan Turing Institute, the Executive Director of the Artificial Intelligence and Cyber Futures Institute at Charles Sturt University, and an Honorary Professor of Behavioral Business ...

  5. Henry W. Bloch School of Management - Wikipedia

    en.wikipedia.org/wiki/Henry_W._Bloch_School_of...

    Henry W. Bloch School of Management (formerly known as Henry W. Bloch School of Business and Public Administration) is an AACSB accredited business school founded in 1952 at the University of Missouri-Kansas City in Kansas City, Missouri. It offers undergraduate and graduate degrees in Business, Accounting and Public Administration.

  6. Big data maturity model - Wikipedia

    en.wikipedia.org/wiki/Big_Data_Maturity_Model

    The organization understand the benefits of analytics and may have a data warehouse; An organization's governance strategy is typically more IT-centric rather than being integrative business-and-IT centric; Stage 2: Pre-adoption. During the pre-adoption stage: The organization start to investigate big data analytics

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  8. Data activism - Wikipedia

    en.wikipedia.org/wiki/Data_activism

    Data activism allows individuals to quantify a specific issue. [6] By collecting data for a particular purpose, it allows data activists to quantify and expose specific issues. As data infrastructures and data analytics grow, data activists can use evidence from data-driven science to support claims about social issues. [8] [2]

  9. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

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