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  2. Big Tech wants everyone to use AI, just not when applying for ...

    www.aol.com/big-tech-wants-everyone-ai-121745541...

    In today's big story, Amazon's love affair with AI doesn't extend to job candidates using it during interviews. What's on deck. Markets: Goldman Sachs pulls back on DEI language in its annual ...

  3. Amazon worker organization - Wikipedia

    en.wikipedia.org/wiki/Amazon_worker_organization

    Data collected in the heat map suggest that stores with low racial and ethnic diversity, especially those located in poor communities, are more likely to unionize. Amazon also had a job listing for an Intelligence Analyst, whose role it would be to identify and tackle threats to Amazon, which included unions and organized labor. [115] [116]

  4. Get breaking Finance news and the latest business articles from AOL. From stock market news to jobs and real estate, it can all be found here.

  5. Cloud analytics - Wikipedia

    en.wikipedia.org/wiki/Cloud_Analytics

    Google Cloud Datalab is an interactive notebook (based on Jupyter) to explore, collaborate, analyze and visualize data. Looker Studio turns data into dashboards and reports that can be read, shared, and customized. Google Cloud Dataprep is a data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis.

  6. Prasanna Agoram - Wikipedia

    en.wikipedia.org/wiki/Prasanna_Agoram

    Prasanna Agoram also known as Pdogg is an Indian cricket data analyst, coach, cricket performance analyst, video analyst, statistician, YouTuber and commentator. He served as the Technical Strategy Analyst of South Africa national cricket team for over a decade.

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    A data product is a computer application that takes data inputs and generates outputs, feeding them back into the environment. [41] It may be based on a model or algorithm. For instance, an application that analyzes data about customer purchase history, and uses the results to recommend other purchases the customer might enjoy. [42] [13]