Sam Charrington
where else to find them
no profile links on file
what they talk about
all 6 in the filters
where they keep going back
no series more than once — all 1 in the filters
on a stage with
- Andrew Ngonce
- Atul Kaleonce
- Deepak Agarwalonce
all 8 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Opening Address | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
Narrative traces ML’s shift from AlexNet 2012 to production: TensorFlow rises then PyTorch gains ground, cloud infra lowers barriers, and enterprises stop with… | ||
| Overcoming the Barriers to Deep Learning in Production | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
Overview of concrete tactics and failures: commercial engagements build vision-guided smart agricultural machinery that increases yield without new land; early… | ||
| Encoding Company Culture in Applied AI Systems | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
Deepak Agarwal, vice president of artificial intelligence at LinkedIn, will join Sam Charrington on the TWIMLcon stage for a live podcast interview to explore… | ||
| Team Teardown: Organizing and Supporting ML | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
Airbnb runs an internal ML platform called Bighead (launched October prior year) that teams use for notebooking, feature engineering, model exploration and… | ||
| Closing Address | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
An experiment runs cloud transcription services on podcast audio and finds cloud transcription defaults are useless: services need tuned modes, fail on… | ||
| Team Teardown: Evolving an ML Platform | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
Centralized ML team of about 7–8 engineers and 5 data scientists builds a serving platform, model management and a forthcoming feature store; onboarding moves… | ||
| nothing matches | ||