Positioning ML Devs and Teams for Success
Intelligent applications are (by their very nature) complex. While conventional software basically consists of one thing (code), intelligent software involves code, models and data. As previously discussed, three distinct fields—DevOps, MLOps and DataOps—have evolved to govern each of these interconnected disciplines. Moving through the ML life cycle quickly and efficiently requires collaboration between teams in […]
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Source: DevOps.com