Vitaly Gordon
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- Scale By the Bay4 editions2017–2021
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| title | conference | date |
|---|---|---|
| The Hardware vs Software | Scale By the Bay 2021 | 2021-10-28 |
Debate centers on whether compute becomes a utility or stays decisive: panelists cite compute doubles every 3.4 months and MLPerf as the concrete meter of… | ||
| Panel Discussion: Will AI Kill Programming? | Scale By the Bay 2020 | 2020-11-12 |
The panel debates whether AI becomes as essential to software work as source control and CI, arguing specific claims and demos: proponents point to GPT-3… | ||
| Who Needs Serverless? | Scale By The Bay 2019 | 2019-11-13 |
Motion: ten years from now most newly created billion-dollar companies are entirely serverless. The panel debates concrete tradeoffs: AWS Lambda and Fargate… | ||
| Functional Programming for Machine Learning Panel | Scale By the Bay 2017 | 2017-11-16 |
Panel debates whether functional programming will dominate ML, citing concrete tools: Scala and Haskell, Rust, TensorFlow (now offering imperative mode)… | ||
| Machine Learning, The Right Way | AI By the Bay 2017 | 2017-03-06 |
Argues that labeled data is the bottleneck not model hype, shows simple logistic regression experiments where a single C hyperparameter shifts accuracy from… | ||
| Vitaly Gordon Interview | AI By the Bay 2017 | 2017-03-06 |
Argues that consumer AI is mature but enterprise and everyday services lag, and describes building a platform that moves models from demos into running… | ||
| The Lego Model for Machine Learning | Data By the Bay 2016 | 2016-05-16 |
A machine learning platform called Optimus Prime built on Spark + Scala generates code to automate a ten‑step feature engineering pipeline: feature typing… | ||
| Computing Professional Identity for the Economic Graph | GOTO Chicago 2015 | 2015-05-11 |
LinkedIn builds an Economic Graph from 300 million members by turning noisy profile text into numeric skill vectors using endorsements, TF‑IDF weighting, LDA… | ||
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