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Digital Dialogue: MLOps and Optimizing ML Operations

November 19, 2021

As organizations grow in analytics maturity, they often look to expand their analytics arsenal to include machine learning models. Machine learning—where systems examine data to identify patterns with minimal human intervention—is becoming part of the analytics fabric of many organizations as its competitive value becomes understood. According to TDWI research, ML is already mainstream and demand is growing.

At a recent webinar, TDWI VP and senior research director Fern Halper spoke to three experts in machine learning and MLOps to learn how they are approaching optimizing ML operations.

Watch the replay of the webinar or download this summary of the discussion today!

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