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#jeffreyfunk — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #jeffreyfunk, aggregated by home.social.

  1. Strypey @[email protected] ·

    "... only 11 percent of firms that have deployed A.I. are reaping a 'sizable' return on their investments. One reason is that costs often turn out to be higher—much higher—than originally assumed. According to a fall 2020 MIT Sloan Management Review article, 'A good rule of thumb is that you should estimate that for every $1 you spend developing an algorithm, you must spend $100 to deploy and support it'.”

    #JeffreyFunk, #GarySmith, 2021

    slate.com/technology/2021/05/a

    (1/2)

    #AI #MOLE

    #jeffreyfunk #garysmith #ai #mole
  2. Strypey @[email protected] ·

    "... only 11 percent of firms that have deployed A.I. are reaping a 'sizable' return on their investments. One reason is that costs often turn out to be higher—much higher—than originally assumed. According to a fall 2020 MIT Sloan Management Review article, 'A good rule of thumb is that you should estimate that for every $1 you spend developing an algorithm, you must spend $100 to deploy and support it'.”

    #JeffreyFunk, #GarySmith, 2021

    slate.com/technology/2021/05/a

    (1/2)

    #AI #MOLE

    #jeffreyfunk #garysmith #ai #mole
  3. Strypey @[email protected] ·

    "... only 11 percent of firms that have deployed A.I. are reaping a 'sizable' return on their investments. One reason is that costs often turn out to be higher—much higher—than originally assumed. According to a fall 2020 MIT Sloan Management Review article, 'A good rule of thumb is that you should estimate that for every $1 you spend developing an algorithm, you must spend $100 to deploy and support it'.”

    #JeffreyFunk, #GarySmith, 2021

    slate.com/technology/2021/05/a

    (1/2)

    #AI #MOLE

    #mole #ai #garysmith #jeffreyfunk
  4. Strypey @[email protected] ·

    "... only 11 percent of firms that have deployed A.I. are reaping a 'sizable' return on their investments. One reason is that costs often turn out to be higher—much higher—than originally assumed. According to a fall 2020 MIT Sloan Management Review article, 'A good rule of thumb is that you should estimate that for every $1 you spend developing an algorithm, you must spend $100 to deploy and support it'.”

    #JeffreyFunk, #GarySmith, 2021

    slate.com/technology/2021/05/a

    (1/2)

    #AI #MOLE

    #jeffreyfunk #garysmith #ai #mole