Advice for Automating Machine Learning and Predictive Analytics
AutoML can solve many of the problems businesses face, but not all. Democratization of machine learning can make a difference. Adam Carrigan, co-founder and COO of MindsDB, explains.

Machine learning and predictive analytics present a massive opportunity for businesses looking to improve existing processes, become more data-driven, and enhance the customer experience. Many companies have instituted some ML projects and are ready to take the next step with more widespread adoption.

Unfortunately, this is one area where companies run into challenges. The expertise and investment required to make ML and predictive analytics successful aren’t readily available. The demand for data scientists continues to snowball. According to LinkedIn, the data science field saw 37 percent job growth last year.

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