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Building reusable Machine Learning workflows with Pipeline Templates

One of the best ways to share, reuse, and scale your ML workflows is to run them as pipelines. To maximize their value, it’s important to build these pipelines in such a way that you can easily reproduce runs that produce similar results, as described in the paper “Hidden Technical Debt in Machine Learning Systems”.  …

CCAI Platform goes GA: Faster time to value with AI for your Contact Center

Customers reach out to contact centers for help in moments of urgent need, but due to increasing demands, new channels, peak times, and operational pressures, contact centers often struggle to provide timely help. To bridge this gap, enterprises are increasingly investing in AI-driven solutions that balance addressing customer expectations with operational efficiency.  But building and …