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by benreesman
815 days ago
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A remarkably astute analysis based on very limited information. My job was to use information retrieval, machine learning / AI, auction theory, and pragmatic statistical sampling to both accurately model and stably price ads inventory and later dollarized organic inventory to drive specific policy agendas about what got clicked on, dwelled on, commented on, seen in recommender systems in equilibrium to achieve specific policy agendas of various kinds but all ultimately tying out at top-line revenue and engagement metrics. It did not take me long to work out that PII was useless in this pursuit, there’s no entropy in the off-property like button table as concerns CTR. It did not take me long to realize that I didn’t want to know what it was useful for. I easily had the seniority to run queries against Hive tables that I had an explicit personal priority of never querying. And I left the senior leadership track at the last stop before a directorship. |
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all the sexy stuff like Bluetooth beacon, and reverse email targeting etc are all before your team, because they're still not regulated and are profitable. i bet the team just got to turn DOoH knobs last years?