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  2. Dangerous (Big Data song) - Wikipedia

    en.wikipedia.org/wiki/Dangerous_(Big_Data_song)

    "Dangerous" was first released as a digital single by Big Data member Alan Wilkis' label Wilcassettes LLC on October 1, 2013. [1] An EP entitled 1.5, consisting of eight remixes of "Dangerous", was released on December 3, 2013. [2]

  3. Big Data (music project) - Wikipedia

    en.wikipedia.org/wiki/Big_Data_(music_project)

    Big Data is an American electronic music project created by producer Alan Wilkis. Big Data is best known for the single "Dangerous", featuring Joywave, which reached number one on the Billboard Alternative Songs chart in August 2014, [3] and was certified gold by the RIAA in May 2015.

  4. Joywave - Wikipedia

    en.wikipedia.org/wiki/Joywave

    Following the viral success of "Dangerous", Joywave performed at Lollapalooza in Chicago [10] and made their television debut in July 2014 on Late Night with Seth Meyers, where they performed the song with Big Data, as well as their own song "Tongues". [11] [12] In 2015, they would also perform on Jimmy Kimmel Live and VH1's Big Morning Buzz Live.

  5. 2.0 (Big Data album) - Wikipedia

    en.wikipedia.org/wiki/2.0_(Big_Data_album)

    2.0 is the debut studio album by American electronic music band Big Data. It was released on March 20, 2015 under Warner Bros. Records. From the album, two singles have been released: "Dangerous" featuring indie rock band Joywave and "The Business of Emotion" featuring White Sea. [1] The album peaked at 75 on the Billboard 200 chart. [5]

  6. Column: Trump's move to kill federal consumer watchdog will ...

    www.aol.com/news/column-trumps-move-kill-federal...

    The bureau's most dangerous enemy may be Elon Musk, who has infiltrated the executive branch at Trump's invitation. Musk's DOGE minions are in place at the CFPB, according to Bloomberg. On Feb. 7 ...

  7. Study uses FBI data to find safest, most dangerous states ...

    www.aol.com/news/study-uses-fbi-data-safest...

    A new study analyzed crime data and evaluated 10 specific crime categories to rank states from the safest to the most dangerous.

  8. Weapons of Math Destruction - Wikipedia

    en.wikipedia.org/wiki/Weapons_of_Math_Destruction

    The book received widespread praise for elucidating the consequences of reliance on big data models for structuring socioeconomic resources. Clay Shirky from The New York Times Book Review said "O'Neil does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives," while pointing out that "the section on solutions is weaker than the illustration of the ...

  9. Investing in Too-Big-to-Fail Banks: More Dangerous Than ... - AOL

    www.aol.com/news/2013-03-20-investing-in-too-big...

    There is a line of thinking among bank investors that goes like this: Even if big banks take a lot of stupid risks, they can remain decent investments because they will always be bailed out by the ...