New AI capabilities with Oracle Analytics

November 21, 2023 | 5 minute read
Benjamin Arnulf
Senior Director, Product Strategy, Oracle Analytics
Barry Mostert
Senior Director, Artificial Intelligence and Analytics
Philippe Lions
Vice President, Product Management, Analytics
Text Size 100%:

Oracle Analytics delivers ongoing innovation through the year, and offers a wide range of AI capabilities. It provides users capabilities augmented with AI, Machine Learning, and Data Science, as well as leveraging Oracle Cloud Infrastructure (OCI) integrated AI Services.

Oracle Analytics offers 3 types of AI capabilities:

  1. Built-in, AI-augmented capabilities.
  2. Integrated ML capabilities.
  3. Integrated AI capabilities.
AI capabilities of Oracle Analytics - Author: Philippe Lions, VP Product Management, Oracle.
AI capabilities of Oracle Analytics - Author: Philippe Lions, VP Product Management, Oracle.

 

Here's a list to help you discover some of the key AI features for Oracle Analytics:

Built-in AI Augmented capabilities

AI Auto-Insights: This feature generates data visualizations automatically from a specific dataset. It will create an optimal visualization for the data elements selected.

 

AI Auto Insights and Segmentation
AI Auto Insights, Explain and Segmentation

 

Explain: This feature uses Machine Learning to automatically explain a metric or attribute - like “Attrition” in the example below - with a single click. It calculates the correlations, drivers, segmentations and anomalies for the dataset.

 

AI Explain in Oracle Analytics

 

1-Click ML/AI feature: this feature enables you to create statistics and ML-generated insights, like clustering with ML or forecasting, using algorithms like ARIMA or ETS with a single click.

 

Oracle Analytics AI 1-click feature to forecast and create clusters

 

ML Integrated Capabilities

Drag and Drop ML and Data Science: this feature allows you to train models using numeric prediction, multi-classifier, binary classifier, or clustering with different built-in algorithms. These ML algorithms can be customized, trained, tuned, and then published to the wider analytics user community.

 

ML Data Flow with Prediction by Low Code No Code
ML Data Flow with Prediction by Low Code No Code

 

Integrated AI capabilities

Oracle Cloud offers multiple AI services: https://www.oracle.com/artificial-intelligence/ai-services/

Currently, Oracle Analytics is integrated with 3 of them and more are planned in our Product Roadmap. Integration means that you can create an AI service in OCI, register the AI model, and ingest the results into Oracle Analytics as a dataset to create visual data stories.

Below are some key OCI AI services currently integrated with Oracle Analytics:

  1. AI Vision
  2. AI Language
  3. AI Document Understanding

Below you can review these AI services and discover data visualizations built using them.

AI Vision Integration

AI Vision provides Object Detection and Image Classification. There are live demos for each in the public OAC instance.

A blog and demo showing object detection is available here:

AI Vision with Oracle Analytics
Data Visualization showcasing the use of an OCI AI Vision - Author: Benjamin Arnulf

A blog and demo showing image classification is available here:

Oracle Analytics with AI Vision Image Classification
Data Visualization showcasing the use of an OCI AI Image Classification trained model with 3,000 public MRI - Author: Benjamin Arnulf

AI language Integration

Oracle Analytics has the capability to analyze language using AI:

Oracle Analytics with AI Language Sentiment Analysis
Oracle Analytics data disualization showing the use of an OCI AI Language with a pre-trained model - Author: Philippe Lions

AI Document Understanding

Oracle Analytics is integrated with OCI AI Document Understanding and can recognize and extract values from a passport, receipts, resumes (aka CVs), invoices and more. See a blog and demo below:

Oracle Analytics with AI Document Understanding
Oracle Analytics Data Visualization showing the use of OCI AI Document Understanding with a pre-trained model for key value extraction. Authors: Benjamin Arnulf and Philippe Lions

AI Digital Assistant

This will be integrated into Oracle Analytics, as announced at the keynote of T.K. Anand at OCW23. In summary, you will be able to ask questions like “What is the root cause for attrition and the trend for the past 3 quarters?”, and the integration will leverage Cohere or other Large Language Models (LLM) to create an answer and generate relevant data visualizations. 

Oracle Analytics AI Digital Assistant with Cohere LLM
Oracle Analytics and the OCI AI Digital Assistant using large language models to generate answers and data visualizations.
 

Conclusion

Oracle Analytics was one of the earliest analytics solutions to include machine learning, natural language processing, and AI capabilities - and continues to incorporate new technology as the field grows.  Take a look at these resources to find out more about how AI and Machine Learning can help your organization make the most of your data:

Benjamin Arnulf

Senior Director, Product Strategy, Oracle Analytics

Benjamin Arnulf is Senior Director, Product Strategy covering Oracle Analytics and AI.

Barry Mostert

Senior Director, Artificial Intelligence and Analytics

Barry is a senior director for product marketing covering Oracle's AI and Analytics services.

Philippe Lions

Vice President, Product Management, Analytics


Previous Post

Prepare Network Components for Private Access to Oracle Fusion Analytics Service Endpoints

Dayne Carley | 9 min read

Next Post


Oracle Analytics Best Practices: Oracle EPM Cloud as a Data Source for a Repository Subject Area

Doug Marshik | 4 min read