Learn more—MySQL HeatWave: https://www.oracle.com/mysql/heatwave/
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.

Contact Oracle Sales: https://social.ora.cl/6001JzysT
Oracle: http://social.ora.cl/6008yDYy4
Try Oracle Cloud for free: https://social.ora.cl/6003yG8dB
Oracle Events: https://social.ora.cl/6005yG8gv
Oracle Support: https://social.ora.cl/6009yG8if
Oracle’s communities: https://social.ora.cl/6000yG8c4
Subscribe to Oracle’s YouTube channel: https://social.ora.cl/6004yGDBE

00:00 Introduction to MySQL HeatWave
02:11 Machine learning inside
06:41 HeatWave ML announcement
14:22 HeatWave ML – explainability, comparison and advantages
19:46 Real-time elasticity – demo
28:05 How to save costs
30:56 Hear from Estuda.com who moves all workloads to MySQL HeatWave
33:48 Let’s talk about performance gains
36:07 Summary