Many organizations successfully use machine learning (ML) for fraud detection, purchase recommendations, hiring, and more. However, many projects fail to achieve the desired results. From the labor-intensive and costly process of extracting and moving data to the ML application, to the time-consuming model training, and to lack of understanding the generated output, organizations encounter challenges in rolling out ML implementations. On March 29, join Edward Screven, chief corporate architect at Oracle as he announces new capabilities for MySQL HeatWave that make it easy for developers and users to incorporate ML into their applications and get fast, accurate results while lowering costs.