Sam Zeitlin szeitlin
Generally, we aim for efficiency, and we value trust over enforcement.
That means we mostly use comments and rarely use the request_changes feature in Github,
unless we've identified things that we think will be blockers in the near future if they don't get fixed now.
We respect each other's input and take it seriously, so even if it's only a comment, we will at least respond to every comment, even if we don't implement the suggestions as written.
First speaker: Marisol
did outreach at UC Merced - workforce development; cybersecurity CECORE course based on a Stanford class
She did 20 years in CS; satellite image analysis.
Originally from a rural area of New Mexico. Was invited to join a 5-person team for a Los Alamos challenge when she was age 15. Said it took her a year to learn how to connect using a modem, but once she was in she realized she could make a computer do anything she wanted.
Aleatha Parker-Wood, PhD Keynote HuMu, Symantec, many security-related patents
BYOD (bring your own device) - bigger attack surface
DLP (data loss prevention) - need more data, but that expands your attack surface
Need strict ACLs - have to avoid letting marketing use data intended only for security models
Encryption is not a magic bullet
| Remo hiring & retaining women in tech | |
| Angelique Slob - consulting company called Hello Monday; in the Netherlands | |
| Vanessa Tierney - runs a global smart worker platform that launched about 1.5 years ago called Abodoo.com; in Ireland | |
| Stephanie Smith - runs publishing for Toptal; mostly marketing though she’s a self-taught programmer (American) | |
| Nadia Harris-Kosior - originally from Poland, recruiter/HR focusing on hiring and retention | |
| company is called Talent Place, based in London | |
| The usual problems - not enough women applying; the ones you get are more junior |
| Started in 2016; past talks are online | |
| "everything is a recommendation" | |
| 80% of what people watch on Netflix comes from recs | |
| # Mounia Lalmas - Dir Research at Spotify (based in London) | |
| Home: help users find content quickly | |
| *nice slide w/ overall view of research -> measurement -> modeling -> optimization -> business | |
| 1. success metrics | |
| *BaRT - McInerney et al. 2018* |
| Speakers: | |
| Jenni Romanek - Dir. Analytics Instagram; DS at twitter previously | |
| Nell Thomas - DS manager FB 2 years | |
| Gayatree Ganu - DS Manager monetizaton, FB 6 years, worked in search before ads | |
| Yuko Yamazaki - Lyft Dir of Eng., data; read Lean In 100x | |
| Sarah O'Brien - head of global insights at LinkedIn | |
| Amy Sample - VP of BI at PBS, AOL 8 years before that | |
| Omoju Miller - ML Eng at Github | |
| Katya Skorobogatova - VP growth at VentureCity, was at FB for 7 years |
| vegas-viz.org | |
| passion project from two guys at Netflix | |
| charting with scala | |
| want to be able to aggregate, filter, facet, color | |
| it can do all of that in one step --> javascript --> rendering |
| Challenges deploying analytics to production/as a service | |
| Challenges testing, monitoring, analytics of analytics | |
| Hire Data Scientists to make products smarter! | |
| "cron + notebooks is like mimicking a person with a marionnette" | |
| "every data science problem should be treated as a software engineering problem" | |
| Ultimately want to make environments scalable & elastic - no easy solution for this right now |