Global AI Developer Day 2022
| title | author | length |
|---|---|---|
| AI Skills Beyond Developing | Ekaterina Marinova | 31m |
Argues that building AI requires more than coding: a six-step CRISP-DM cycle from business understanding through deployment, with business understanding as the… | ||
| MLOps for Continuous Learning | Francesca Lazzeri | 30m |
Argues that MLOps is a cultural practice plus a toolchain and lists concrete components: PyTorch, TensorFlow, Ray for training; ONNX + ORT to standardize and… | ||
| Azure AI Innovations at Microsoft | Eric Boyd, Beatriz Stollnitz | 31m |
Microsoft shows Azure AI moving research into product: a March 2020 image‑caption model becomes a Cognitive Service API in three to four months; the stack… | ||
| Developer Essentials for the New Era of AI | Manuvir Das | 28m |
NVIDIA positions a full stack: GPU hardware plus CUDA, SDKs and containers, claiming 10x–100x acceleration for deep learning and citing 3.5 million developers… | ||
| Panel: The Future of AI | 31m | |
Panelists report concrete advances: teams train a 530B-parameter model with NeMo/Megatron on Azure using NVIDIA A100 clusters and InfiniBand, and roadmap H100… | ||
| Improving the Fairness and Reliability of AI Solutions | Ruth Yakubu | 34m |
A one-stop Azure ML Responsible AI dashboard ties Fairlearn DICE InterpreML EconML and open-source utilities into an end-to-end workflow that replaces many ad… | ||
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