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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