TDWI VP and senior research director Fern Halper recently spoke to three experts in machine learning and MLOps to learn how they are approaching optimizing ML operations.
This TDWI report identifies the chief mistakes enterprise IT and data managers often make with deployment and operation of these platforms and ways to avoid them.
To succeed in machine learning, enterprises must embrace the full machine learning life cycle in a unified way.
Understanding and applying better metadata management can help with BI reporting, analytics, data governance, migration, and regulatory adherence.
Predictive analytics is on the verge of widespread adoption. In this report, Fern Halper provides an overview of the state of the predictive analytics market, as well as an overview of the key product offerings helping organizations realize value from predictive analytics.
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