Diego Oppenheimer
where else to find them
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Falon Fatemionce
- Murli Thirumaleonce
- TX Zhuoonce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Top Trends in Enterprise Machine Learning for 2021 | TWIMLcon: AI Platforms 2021 | 2021-01-19 |
Algorithmia reports a third annual enterprise survey of mostly >$100M firms and claims a 76% increase in data scientists year over year, yet deployment gets… | ||
| Challenges of machine learning: The new ML lifecycle | Big Data & AI Toronto 2020 | 2020-09-29 |
Claims that only 10% deployed of organizations and that 50% never see the light frame the scale of the problem, with lab-to-prod delays often hitting 18… | ||
| Continuous deployment for ML: The new software development lifecycle | AWS re:Invent 2019 | 2019-12-02 |
Machine learning teams spend 75% of their time on infrastructure not modeling, because dozens of languages, framework versions, hardware drivers and… | ||
| Fast Scale | Collision 2018 | 2018-04-30 |
Four founders describe what actually changed after raising big growth rounds: NODE pitches proactive recommendations for your next customer, Algorithmia… | ||
| nothing matches | ||