Why Machine Learning Lifecycle Management Is Important

Data science and machine learning are becoming the critical building blocks for data-driven organisations. Now accelerating ML lifecycle management and taking the models from prototyping to production has become increasingly important. Another factor that has led to the rise of ML lifecycle solutions is the significant increase in expectations from engineering teams to meet the […]