Building AI/ML enabled applications on Oracle Cloud


Trendovi i budućnost Jave

Datum i vrijeme






Today, organizations realize only a fraction of the enormous transformational potential of data because data science teams don’t have easy access to the right data and tools to build and deploy effective machine learning models. The net result is that models take too long to develop, don’t always meet enterprise requirements for accuracy and robustness and too frequently never make it into production.Oracle is offering services on Oracle Cloud Infrastructure, including new Data Catalog, to discover, find, organize, enrich and create data assets; Data Flow; fully managed service to run Apache Spark applications, Data Science, helping enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects. In the presentation we will look at how these new services make it quick and easy for data science teams in your organization to collaboratively build and deploy powerful machine learning models.

Detalji o predavanju

Vrsta: Predavanje
Razina težine: Općenito
Poželjno iskustvo slušatelja: Bez iskustva (1 g. i manje)
Poželjna funkcija slušatelja: Programer , Voditelj projekta , Strateški rukovoditelj
Grupa aktivnosti: Trendovi i budućnost Jave

O predavaču


Konferenciju organiziraju Hrvatska udruga Oracle korisnika i Hrvatska udruga Java korisnika. 

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