Amir Feizpour
where else to find them
no profile links on file
what they talk about
where they keep going back
- Big Data & AI Toronto2 editions2020–2021
on a stage with
- Ashley Beattieonce
- Yerzat Maratonce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| AI workflows and teaming - how do teams deliver AI products? | Big Data & AI Toronto 2021 | 2021-10-13 |
Panel argues a three‑stage checklist: discovery → prototype → production with concrete short tests (quick prototypes) then full MLOps (deploy, SLIs/SLOs… | ||
| Workshop: Product development for identifying and leveraging ML opportunities | Big Data & AI Toronto 2020 | 2020-09-29 |
Argues that most AI effort should be product-first not model-first, backing it with time breakdowns (40–50% data, 30–40% modeling + deployment, 10–30% problem… | ||
| nothing matches | ||