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Oracle Cloud Infrastructure Data Integration is a cloud-based data integration solution that enables you to move data between Oracle Cloud Infrastructure and other cloud services, such as Amazon Web Services (AWS).

It enables enterprises to take advantage of the elasticity and scalability of cloud computing while integrating their existing on-premises resources. This makes it possible to migrate applications and workloads between environments without having to completely rebuild them.

Key features of this product include:

SAS Visual Data Mining and Machine Learning (VDMML) is a software package, part of the SAS Viya platform, that allows users to analyse data, find patterns and make predictions. The software can be used for a variety of tasks, such as predictive analytics and modelling, providing a complete solution for advanced analytics.

SAS Visual Data Mining and Machine Learning offers an intuitive interface that makes it easy for users to explore and visualise their data, as well as the ability to perform advanced statistical analysis. It builds on the SAS Visual Analytics platform for business intelligence, and includes a suite of analytical tools that can be used independently or together to address problems across the full spectrum of business intelligence applications.

This software can be used with other SAS products as well as third-party applications. 

Some highlights of the tool:

MATLAB is a programming language and high-performance computing environment for algorithm development, data visualization, data analysis, and numerical computation. Combining high-level programming features with dynamic data types, MATLAB provides an environment for rapidly prototyping ideas and developing software to solve technical computing and analytical problems...

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Dataiku has announced a partnership with Databricks as part of its Large Language Models (LLMs) Mesh Partner Program.