Stanley Fujimoto, a senior data scientist at Ancestry, discusses how his team leveraged MLOps and collaboration to quickly process and extract information from 6.6 million historical census images. He explains their multi-model pipeline using deep learning for document layout extraction and handwriting recognition. Key themes include the importance of infrastructure, transparency, and calibrated confidence scores for business decision making. The webinar also covers initial survey results on MLOps adoption and challenges.
- Күн бұрын
Leveraging MLOps to Speed Up Historical Document Processing
- Рет қаралды 199
Пікірлер: 1