Inside Analysis

Lessons Learned: Machine Learning in Production

The transformative power of machine learning cannot be denied, but achieving business value has proven elusive for many organizations. There are several key challenges in the process: a) deciding on the right process to augment; b) determining the optimal algorithms for the use case; c) gathering enough quality data to train the algorithms; and, last but not least, d) operationalizing the results of machine learning.

Register for this episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh explain why machine learning projects must embrace the end-to-end process in order to be effective. He’ll be joined by Harish Doddi of Datatron, who will share his company’s recent experiences in deploying machine learning modules for several Fortune 1000 companies. He’ll demonstrate how the Datatron platform has been updated over the past six months as a result of experiences in the field.



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