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7 steps to success with predictive analytics and machine learning
Most organizations are well positioned to explore predictive analytics and machine learning, but many struggle with how to initially launch the effort, says Mike Gualtieri, vice president and principal analyst with Forrester Research. In his latest Forrester Wave report on predictive analytics and machine learning, Gualtieri offers these tips to help organizations get a PAML effort right."
Drive data scientist productivity
“Data scientists are in demand, and it can be hard to find good ones,” notes Gualtieri. “Instead of hiring three more data scientists, perhaps an enterprise could dramatically improve the productivity of existing data scientist teams. Many of the PAML solution vendors focus on speeding up analysis by using big data platforms such as Apache Spark, automating portions of the data science life cycle, and improving usability of the data science workbench.”