Maximizing the value of unstructured data, enabling the integrated application of machine learning and prediction techniques

SAS Korea announced the launch of its latest offering, which enhances advanced analytics capabilities such as machine learning, deep learning, text analysis, and prediction, as well as new features of 'SAS Viya®'.

Companies can more easily perform AI-powered enterprise analytics by utilizing the new SAS Platform offering, SAS Visual Text Analytics, and the upgraded SAS Visual Data Mining and Machine Learning (SAS VDMML).

Enhanced enterprise analytics through AI capabilities and web interfaces
The SAS Visual Text Analytics solution, newly added to the SAS platform, maximizes the value of unstructured data by leveraging machine learning, natural language processing (NLP), and more. Enterprises can address business challenges such as managing and interpreting text notes, assessing risks and fraud, and early detecting issues using customer feedback.

Furthermore, it implements text mining, context extraction, categorization, sentiment analysis, and search functions within a flexible, modern framework. Users can prepare data, explore it visually, build text models, and deploy them into existing systems or business processes. It is possible to rapidly analyze large amounts of text data using predefined templates and integrate machine learning and prediction techniques into the text analysis results.

The enhanced SAS Visual Data Mining and Machine Learning provides an end-to-end visual environment that visualizes the entire process of machine learning and deep learning, from data access and wrangling to building and deploying sophisticated models. Enterprises can utilize key personnel and data resources more efficiently by rapidly solving complex business problems based on in-memory and distributed processing. Additionally, this solution supports programming in popular open-source languages such as Python and R.

In particular, the web interface, a distinguishing feature of the latest SAS platform product, integrates the entire analytics lifecycle to support collaboration across all departments. Users can handle all tasks—from data preparation and visual data exploration to model creation and business application—within a single visual interface. Furthermore, within this integrated environment, users can rapidly develop the latest machine learning algorithms to build profitable customer relationships, prevent fraud more effectively, and manage risks.

"Dan Vesset, Vice President of the Analytics and Information Management Research Group at IDC, said, 'Users can easily manage the entire analytics process using SAS's single platform, which integrates advanced analytics, model deployment, data preparation, and visualization capabilities without the need for multiple software.' He added, 'SAS will continue to maintain its position as a leader not only in the analytics sector but also in the cognitive/artificial intelligence platform sector with the SAS platform, which integrates statistical, machine learning, deep learning, and text analysis algorithms and supports open source.'"