Published: 25 July 2023
Business data is growing exponentially, but tech CMOs may struggle to uncover insights due to a lack of data science and machine learning skills. Tech CMOs must facilitate the rise of the citizen data scientist, leverage no-/low-code ML platforms and use built-in DSML to support demand generation.
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Finding and recruiting employees with both technical skills and experience in data science and machine learning (DSML) is competitive, costly and challenging given the low supply of available talent in the labor pool.
Business acumen, creativity, data visualization and data preparation are more critical than programming and coding skills in determining how to approach model building and DSML implementation.
Solution providers across the martech stack are more frequently including end-user tools that incorporate an ML capability into their software, such as out-of-the-box predictive lead scoring in marketing automation platforms (MAPs).
As a tech CMO seeking to leverage big data in
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