Hilary Mason
where else to find them
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 6 in the filters
on a stage with
- Andrew Keenonce
- Andrew McAfeeonce
- David Kennyonce
all 4 in the filters
who talks about the same things
- Cassie Kozyrkov9 talks
- Bill Franks4 talks
- Ben Lorica15 talks
- Helen Yu2 talks
- Seth Juarez31 talks
- Thomas Schmidt11 talks
| title | conference | date |
|---|---|---|
| Keynote: AI in the Real World: Today and Tomorrow | Open FinTech Forum 2018 | 2018-10-10 |
Argues that practical AI is about production patterns not sci fi, showing concrete wins and failures: Google Maps traffic as a boring, deployed ML system; a… | ||
| Practical ML Today and Tomorrow | Strata Data Conference 2018 - New York, NY | 2018-09-11 |
Machine learning and artificial intelligence are exciting technologies, but real value comes from marrying those capabilities with the right business problems… | ||
| The Promise and Peril of Technology | DLD Campus 2017 | 2017-06-21 |
Argues that much of what is called AI is still supervised classification — labeled training data, math, and probability — not consciousness, and that big firms… | ||
| Machine, Platform, Crowd | DLD New York 2017 | 2017-05-10 |
Argues that automation reshapes work but does not yet eliminate jobs, producing net monthly job gains while hollowing the middle class and leaving many… | ||
| IoT Meets Internet of People | DLD NYC 14 | 2014-04-30 |
Argues that connecting sensors to infrastructure already shows practical wins: wing sensors and atmospheric data cut turbulence in half in five years, urban… | ||
| High Order Bit | Web 2.0 Summit 2011 | 2011-10-17 |
Analysis of Bitly click data shows global patterns: 27% of traffic from the United States, unexpected platforms such as Minecraft sharing emerge, and a… | ||
| Hilary Mason interviewed at Web 2.0 Summit 2011 | Web 2.0 Summit 2011 | 2011-10-17 |
bitly presents a clear claim: URL attention decays differently by content and network, with a measured half-life study showing YouTube 7 hours vs Twitter 2.8… | ||
| nothing matches | ||