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generativist's profile
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
 💥 (wannabe) Ƀreaker of (the Bad) Loops  💫
@generativist

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 💥 (wannabe) Ƀreaker of (the Bad) Loops  💫

@generativist

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Palo Alto, CA
jbn.abreka.com
Joined May 2013

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    1.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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      I am at a @baypayforum event.pic.twitter.com/OW2yDh3rUX

      BayPay forum.
      2 replies 0 retweets 2 likes
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    2.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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      Specifically,pic.twitter.com/PQ7n18XG1v

      Digital identity and the changing privacy landscape.
      1 reply 0 retweets 2 likes
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    3.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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      I’m so bad at live tweeting.

      1 reply 0 retweets 4 likes
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    4.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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      As an outsider, the balancing act between identity and privacy seems...very hard.

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    5.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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      The panelists are now talking about how the one-size-fits-all-rule for gdpr induces consumer agnosticism (my term) because who clicks no on that box? Yes.

      2 replies 1 retweet 0 likes
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       💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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      My reinterpretation of some of this panel discussion is that banks and governments seem to care about identity mostly to avoid misallocation (of credit and benefits).

      7:11 PM - 29 May 2019 from Menlo Park, CA
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        2.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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          @FVerley responded to a question about federated identity by pointing out how startups optimizing for growth aren’t necessarily the most secure or careful with your identity...and now I’m curious if compromise data with crunchbase-associated data exists...

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        3.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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          @FVerley also pointed out how a lot of these regulations create pressure so that companies ask, “do we really need this data?” since it becomes (my interpretation) a liability. (I apparently don’t know much about identity.)

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        4.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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          @tolykvitnitsky fielded a question about how they (@trulioo) deal with synthetic identities. His answer made me realize how much we currently rely on credit bureaus for identity authentication which...seems bad (and is which is part of what they’re trying to fix).pic.twitter.com/seZhpStlyc

          1 reply 2 retweets 8 likes
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        5.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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          @FVerley pointed out how they have to think carefully about using assigned identities (eg drivers license) because both internationally and within the US, this varies in ways correlated with SES.

          1 reply 1 retweet 1 like
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        6.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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          Philip Lam talked about how self-sovereign data in the space between federated identities (in this case, deciding how much to share) May help realign incentivize by making this obvious.

          1 reply 0 retweets 0 likes
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        7.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 29 May 2019
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          (I am out of pizza and think it’s rude to get up. Catastrophe.)

          0 replies 0 retweets 1 like
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        8. End of conversation
        1. Liza Brings‏ @LizaBrings 29 May 2019
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          Replying to @generativist

          Yes, but they equally care about being able to identify & track consumer info, so their predictive and category marketing models will work effectively. I know because I used to do it.

          0 replies 0 retweets 2 likes
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        1. Liza Brings‏ @LizaBrings 29 May 2019
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          Replying to @generativist

          At one point, I had over 60 million US households in my customer database. Households, not individuals. If there are about 4 ppl in the average hh you can do the math on how many ppl that was. For these ppl, I had names, addresses, income, age, marital status,

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        1. Liza Brings‏ @LizaBrings 29 May 2019
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          Replying to @generativist

          # of kids, and more. I ran quarterly updates to catch people as they moved & changed jobs. Practically every large financial & retail co in the US has this. Worried about the government spying on you? Don’t. Government has crappy info.

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