Michel Schildmeijer speaks at the 2018 Analytics and Data SummitPublished on: Author: Michel Schildmeijer Category: News
Michel Schildmeijer is a solutions architect at Qualogy and an Oracle Ace. He will attend the Analytics and Data Summit on 21 March as a guest speaker, delivering a presentation entitled ‘Anomaly detection and machine learning with Oracle Management Cloud'. If you can’t attend the summit, you can catch Michel's presentation during the Oracle Management Cloud Meet-Up organised by Qualogy on April 5.
The annual Analytics and Data Summit (formerly the BIWA Summit) attracts experts from around the world who are active in the fields of Oracle BI, data warehousing, advanced analytics, big data and Oracle Spatial and Graph. The summit will be held from 20 to 22 March at the Oracle Headquarters in Redwood Shores, California.
Presentation by Michel Schildmeijer
During his presentation, Michel will outline the many capabilities of Oracle Management Cloud (OMC), such as data mining and the use of machine learning to detect anomalies in IT systems. How do you identify bottlenecks and predict peak loads in order to take the necessary measures to scale your system? How do you detect fraud and security threats? Michel will answer these questions and explain how to apply the OMC features.
Monitoring and analysing data and trends with Oracle Management Cloud
Oracle Management Cloud is a platform of integrated cloud services that allows you to monitor, analyse and interpret unstructured log and runtime data. It optimises monitoring by leveraging machine learning and big data techniques to help prevent application outages, increase DevOps agility and harden data security.
'I'm a big fan of Oracle Management Cloud because it helps our clients manage their IT systems without the need for integrated monitoring tools,' explains Michel. 'This robust cloud-based solution is platform-independent, which means it can be used with a wide range of technologies and models, such as IaaS, PaaS, SaaS, and on-premise applications. OMC is also very effective in terms of security analytics.'