In a bid to expand its user base, Oracle has come out with an upgraded cloud analytics service. The company has made Redwood User Interface public for the first time within a live application environment. According to Oracle Analytics VP Joey Fitts, UI will be employed across the entire Oracle applications portfolio.
- Common data pool: Redwood UI is at the core of an Oracle Analytics Cloud strategy that surfaces a common pool of data to end-users, business analysts, and data scientists, rather than requiring organizations to acquire, populate, and manage data across multiple platforms to address each use case. The goal is to make it easier for users with varying levels of analytics expertise to collaborate more effectively.
- Honing machine learning: Oracle is expanding its machine learning capabilities to offer users simple explanations of the factors that influenced a recommendation. Users can employ those explanations to adjust factors in a way that fine-tunes results. That capability makes artificial intelligence (AI) capabilities accessible to all types of users.
- Automated database services: As a provider of relational database platforms that are widely employed in on-premises IT environments, Oracle is moving to ensure it remains relevant in the age of the cloud. In addition to Oracle Analytics Cloud, the company makes available a managed Autonomous Database service through which lower-level database administration tasks are automated.
- Adding support: The company is also adding support for built-in text analytics, affinity analytics to discover relationships between datasets more easily, graph analytics, and custom map analytics for embedding images using the Web Map Service protocol and XYZ tile layers.
- Mobile app: Oracle is also launching a mobile application that makes Oracle Analytics Cloud more accessible to members of a geographically distributed team. That application includes a “podcast” capability that grips a natural language processing engine to identify and narrate the relationships between various sets of data surfaced through a dashboard via a speech interface.
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