Machine Learning Times
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MLW Preview Video: Dean Abbott, President at Abbott Analytics
 In anticipation of his upcoming pre-conference workshop and presentations...
MLW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Predictive Analytics...
Wise Practitioner – Machine Learning Week Interview: Mack Wallace, Head of Financial Products at MPOWER Financing
 In anticipation of his upcoming presentation at Predictive Analytics...
Wise Practitioner – Machine Learning Week Interview: Alejandro Jesús Castañeira Rodriguez, Principal Data Scientist at JANZZ Ltd.
 In anticipation of his upcoming presentation at Predictive Analytics...
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1 year ago
Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of ML projects comes from a lack of prudent leadership. I’ll also argue that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail. Considering the growing chatter about ML’s failure to launch, there’s been relatively little concrete industry research – especially when it comes to surveys on model

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