New AI capabilities with Oracle Analytics

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.

 

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, 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.

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.

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

 

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:

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

A blog and demo showing image classification is available here:

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 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 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 and the OCI AI Digital Assistant using large language models to generate answers and data visualizations.

Source: oracle.com