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.
You will also see demos of using MySQL HeatWave on Oracle Cloud and on AWS.
Many of the world's largest and fastest-growing organizations including Facebook, Twitter, Booking.com, and Verizon rely on MySQL to save time and money powering their high-volume Web sites, business-critical systems, and packaged software.
Continuing with our webinar series about migrating to MySQL HeatWave, given the recent news that MariaDB has discontinued SkySQL and Xpand, as well as the recent financial difficulties, the MySQL Team is ready to help with migrations from MariaDB.
Join this webinar to learn why you need to migrate from MariaDB to MySQL HeatWave – the only MySQL database service in the cloud for OLTP, OLAP, ML, and Lakehouse – and the operations that are involved in the migration process.