Machine learning (ML) can be used to address various use cases such as fraud detection, product recommendations, predictive maintenance, and more. However, many organizations struggle to effectively implement ML based projects due the complexity involved in setting up the ML infrastructure, making the relevant data available to build models, preprocessing the data, training the models and the lack of transparency of the generated output.

In the virtual conference, we will show you how to overcome these challenges with the automated machine learning capabilities offered by MySQL HeatWave AutoML, which enable database users as well as business analysts to incorporate ML into their applications with ease and get fast, accurate results while lowering costs.