Žiga Vaupot's Blog

Oracle AI Services With this blog post I am still discovering various cloud services that constitute Oracle Data Lakehouse . This time I am looking at Oracle AI Services . Oracle describes these AI services as pre-trained models that can be custom trained with an organisation’s own data to improve model quality, making it easier for developers to adopt and use AI technology . OCI provides the following prebuilt services: Digital Assistant Language Speech Vision Anomaly Detection. In this blog post, I am playing wih Vision AI Service.  Vision AI Service OCI Vision   applies computer vision to analyze image-based content. Developers can easily integrate pretrained models into their applications with APIs or custom train models to meet their specific use cases. These models can be used to detect visual anomalies in manufacturing, extract text from documents to automate business workflows, and tag items in images to count products or shipments . Basically, what Vision AI Service does is Im

Oracle Cloud Infrastructure (OCI) Data Catalog is part of Oracle Data Lakehouse platform and is defined as "a fully managed, self-service, data discovery and governance solution for your enterprise data. With Data Catalog, you get a single collaborative environment to manage technical, business, and operational metadata." ( https://docs.oracle.com/en-us/iaas/data-catalog/home.htm ) I am sure many of users will find Data Catalog very useful. It provides several really nice features which enable users to: harvest metadata from various data sources, create a common, enterprise-wide business glossary, link data to business terms and tags, explore data assets in data catalog, automate harvesting jobs to update the catalog on regular basis, integrate with other applications using REST APIs and SDK. So where do we start? At the beginning, of course. We need to locate Data Catalog Service in OCI.  It is located under Analytics & AI menu item in OCI navigation panel and then y

Oracle Analytics, March 2022 Update is available! … and as usual is bringing some new exiting features. I will focus on some really nice one, three to be exact, which I was waiting for quite a some time and which will definitely improve developer and end user experience: new content management tool conditional formatting in Performance Tile visualisations Dashboard Filter Bar Content Management Personally, I am missing some more content management tools in Oracle Analytics. In this, March 2022 Update, this is certainly improving. Under the Console  users have now an option to use  Content  management tools.  Content management allows user quickly search through all objects (not just catalog) in the system. It allows searching by owner as well. Of course, more details are always available to inspect: If use is Administrator, she can transfer ownership of an object from one user to another. Example being, an employee leaves company.  This functionality in general is not new. It was avail