Oracle Analytics Cloud Announces New AI-Powered Workflow


Oracle has announced its new Analytics Cloud workflow using AI-powered technology.

Additions to Oracle Analytics Cloud include explainable machine learning, data preparation to transform customer-specific data into quality insights, integrated text analysis, affinity analysis, personalized baseline knowledge, l chart analysis, custom map analysis, natural language queries and stories, as well as a new mobile app.

“I’m very excited to announce a set of new features in Oracle Analytics Cloud to provide all employees, not just data scientists, with easy-to-use self-service analytics,” said TK Anand, vice president senior of Oracle Analytics.

“Customers can now experience interactions with their data through maps, visual market basket analysis and mobile devices to more quickly identify patterns and relationships that allow them to predict outcomes and make decisions faster. “

Oracle says that by using its new explainable machine learning, any user can see simple explanations of things that have influenced a machine learning model and then predict a certain outcome.

They can also interact with a model and adjust factors to refine the results. The company is leading by example, that of all the factors that influenced the denial of a bank loan application, users can quickly see which were the most influencing and why.

Here are some other additions to Analytics Cloud:

  • Automated data preparation.
  • Text analysis, allowing someone to extract words from unstructured data, count them, visualize the results, then attaching that analysis to their original data, they can dig into any level of detail.
  • Affinity analysis, which allows the user to identify sets of items that often appear together, also known as association rule learning. Oracle says this is often used for market basket analysis in consumer goods or retail banking.
  • Graphical analysis, used to visually display data relationships, such as how people and transactions are connected or the shortest distance between two hubs in a network.
  • Custom map analysis, giving users the ability to apply custom images as map backgrounds and create map layers to enhance data visualizations.
  • New Oracle Analytics mobile app, allowing users to quickly find data, all with a consistent experience in Oracle Analytics Cloud and the application.
  • Natural language processing, users can query their data in natural language using a search like experiment with text or voice to get spoken narratives of the results. Oracle says it supports 28 different languages ​​and various language constructs such as synonyms, abbreviations, dynamic filters, and calculations.

Dan Vesset, group vice president of business intelligence firm IDC, said, “Oracle’s innovation in AI-based automation spans all phases of the analytics and business continuum. strategic watch.

“It provides information, recommendations and actions, in the context of enterprise-wide business activities that accelerate desired results,” he says.

Oracle says the latest updates reflect its focus on innovation and meeting the needs of its customers. That’s why he can’t wait to break new ground, so his clients can share data and analysis in the form of what he calls data stories.



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