{"id":32389,"date":"2025-05-25T21:47:13","date_gmt":"2025-05-25T21:47:13","guid":{"rendered":"https:\/\/mon-agent-ia.fr\/blog\/?p=32389"},"modified":"2025-05-25T21:47:14","modified_gmt":"2025-05-25T21:47:14","slug":"sas-enters-the-world-of-artificial-intelligence-agents","status":"publish","type":"post","link":"https:\/\/mon-agent-ia.fr\/blog\/en\/sas-enters-the-world-of-artificial-intelligence-agents\/","title":{"rendered":"SAS enters the world of artificial intelligence agents"},"content":{"rendered":"

In a world where technologies are evolving at a breakneck pace, SAS, a recognized leader in data processing and analytical intelligence, is taking a leading position by integrating artificial intelligence agents into its solutions. At the Innovate conference, the company unveiled several major advancements aimed at improving AI governance and the integration of industry-specific models. In this article, we will explore the new capabilities of the Viya analytics platform and the implications of these developments on the decision-making landscape. SAS’s Key Developments in Artificial Intelligence<\/strong>With the rise of artificial intelligence systems, SAS is constantly updating its Viya platform to meet current market demands. Data management, AI governance, and the implementation of industry-specific models are now at the heart of their innovations. In this section, we will analyze the various developments and additions made by SAS. Intelligent Decisioning and the Creation of AI Agents<\/p>\n\n

The latest notable development from SAS is the adaptation of<\/h2>\n\n

Intelligent Decisioning<\/p>\n\n

, a tool that now enables the creation of artificial intelligence agents in low-code\/no-code mode. This simplified approach aims to make these technologies accessible not only to experts, but also to ordinary users. For example, in the banking sector, this tool was designed to automate the analysis of loan applications while ensuring that the final decision remains in the hands of a human. This hybridization of automation and human control represents a considerable advancement in the field of finance.<\/h3>\n\n

Data Maker and the Generation of Synthetic Data Another fascinating addition is the launch of<\/strong>Data Maker <\/p>\n\n

, a synthetic data generator enhanced by the acquisition of British startup Hazy. With this technology, SAS can now address privacy concerns while compensating for the lack of real-world data. Data Maker is capable of producing multi-table and temporal data, making it particularly valuable for companies requiring compliant and diverse datasets. Its general release is planned for Q3 2025, giving companies ample time to prepare for its use.<\/h3>\n\n

Evolution Description<\/strong>Availability Date<\/p>\n\n

\n\n\n\n\n\n
Intelligent Decisioning<\/th>\nLow-code\/no-code AI agent creation<\/th>\nAvailable now<\/th>\n<\/tr>\n<\/thead>\n
Data Maker<\/td>\nSynthetic, multi-table, and temporal data generator<\/td>\nQ3 2025<\/td>\n<\/tr>\n
Viya Copilot: the cloud-based conversational assistant<\/td>\nAnother key new feature is<\/td>\nViya Copilot<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n

, a conversational assistant that leverages Microsoft Azure services. Integrated directly into the platform, this tool is designed to optimize analysis processes in various business environments. Currently in private preview, Viya Copilot will initially be used within Model Studio, facilitating the creation of AI-powered models and providing coding assistance for SAS users. General availability of this feature is also expected in the third quarter of 2025.<\/h3>\n\n

Access via Azure Marketplace and AWS An important point to note regarding<\/strong>Viya Workbench , launching in 2024, is that it is now accessible via the<\/strong> Azure Marketplace<\/p>\n\n

and<\/h3>\n\n

AWS platforms. This solution allows developers to work using various languages, including R and SAS Enterprise Guide, confirming<\/strong>SAS’s commitment Optimize integration into diverse environments. This not only promotes flexibility for users, but also strengthens security and collaboration in artificial intelligence development, particularly in regulated industries.<\/strong> Continuous improvement of the Viya platform Integration of easy-to-use tools for developers<\/strong>Focus on security and development collaboration Predefined models for different industries<\/strong> SAS understands that not all companies have the resources to develop artificial intelligence solutions in-house. That’s why SAS offers a category of ready-to-use AI models, tailored to various industries. This offering is designed to meet the needs of companies, whether they have a team of data scientists or not. Let’s analyze this approach in more detail. <\/p>\n\n

  • Cross-functional and specific models<\/li>
  • The models offered by SAS are designed to be flexible and modular, allowing easy integration into various technological environments. Some of these models are cross-functional, focusing on tasks such as identity management or document analysis. Others are developed specifically for specific use cases, such as:<\/li>
  • Medication adherence monitoring in the healthcare sector<\/li><\/ul>\n\n

    Supply chain optimization in manufacturing<\/h2>\n\n

    Fraud detection and tax compliance for government agencies By 2025, SAS plans to introduce four additional models, covering the following areas:<\/strong> Payment fraud detection in the financial sector<\/p>\n\n

    Payment integrity in the healthcare sector<\/h3>\n\n

    Worker safety monitoring in manufacturing<\/p>\n\n

    • Income tax compliance for the public sector<\/li>
    • Application sector<\/li>
    • Proposed model<\/li><\/ul>\n\n

      Purpose<\/p>\n\n

      • Healthcare<\/li>
      • Medication adherence<\/li>
      • Improving patient adherence to treatment<\/li>
      • Industry<\/li><\/ul>\n\n
        \n\n\n\n\n\n\n
        Supply chain<\/th>\nOptimizing costs and delivery times<\/th>\nAdministration<\/th>\n<\/tr>\n<\/thead>\n
        Fraud detection<\/td>\nEnsuring tax compliance<\/td>\nA solution for all business sizes<\/td>\n<\/tr>\n
        SAS Vice President of Applied Artificial Intelligence, Udo Sglavo, emphasizes that these models are lightweight, modular, and easy to integrate into existing infrastructures. \u00ab\u00a0They run in containers that are easily deployed and operational,\u00a0\u00bb he explains. This allows companies to leverage artificial intelligence without requiring strong in-house technical skills.<\/td>\nAI governance at the heart of concerns<\/td>\nWith the rise of artificial intelligence applications in businesses, SAS places particular emphasis on the need to govern these technologies responsibly. This trust framework is essential to ensure that deployed AI solutions are ethical and comply with user expectations and various regulations. AI Usage Assessment<\/td>\n<\/tr>\n
        Reggie Townsend, Vice President of Data Ethics at SAS, emphasizes the importance of assessing the intended use of AI systems before deployment. The company has introduced a tool called the \u00ab\u00a0AI Governance Map\u00a0\u00bb that helps organizations assess their AI management maturity across four key areas:<\/td>\nOversight<\/td>\nCompliance<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n

        Operations<\/h3>\n\n

        Corporate Culture This comprehensive approach not only ensures the seamless integration of new systems but also ensures ongoing compliance monitoring, enabling organizations to manage their operations while maintaining high ethical standards.<\/strong>Centralized Governance Tools for Executives<\/p>\n\n

        Toward the end of the year, SAS plans to launch a centralized governance tool for executives that will oversee all of the company’s AI systems, models, and agents. This demonstrates SAS’s commitment to fostering a culture of transparency and accountability around artificial intelligence. This initiative has been praised by industry analysts, who see it as an important step toward the responsible adoption of advanced technologies.<\/h2>\n\n

        The Path to an Equitable Future<\/p>\n\n

        SAS’s recent innovations reinforce its leadership position in the artificial intelligence market. Integrating strong governance is essential to avoid the pitfalls that other sectors have experienced. These steps can only encourage companies to adopt a responsible approach, thus deflecting the potential negative effects associated with the technology.<\/h3>\n\n

        In an ecosystem where giants like Google, IBM, and Salesforce seek to differentiate themselves, SAS demonstrates its ability to innovate while placing ethics at the heart of its initiatives. The combination of industry-specific AI models and advanced governance could well give an edge to companies that choose to collaborate with the leading data processor. The stakes are high, and the future looks promising. Governance Focus<\/strong> Description<\/p>\n\n

        • Oversight<\/li>
        • Real-time monitoring of AI performance and usage<\/li>
        • Compliance<\/li>
        • Adherence to applicable regulations and laws<\/li><\/ul>\n\n

          Operations<\/p>\n\n

          Effective management of AI resources and systems<\/h3>\n\n

          Corporate Culture Fostering strong ethics within the organization<\/strong> <\/p>\n\n

          <\/h3>\n\n

          <\/p>\n\n

          <\/strong> <\/strong> <\/strong> <\/p>\n\n

          \n\n\n\n\n\n\n\n
          <\/th>\n<\/th>\n<\/tr>\n<\/thead>\n
          <\/td>\n<\/td>\n<\/tr>\n
          <\/td>\n<\/td>\n<\/tr>\n
          <\/td>\n<\/td>\n<\/tr>\n
          <\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n","protected":false},"excerpt":{"rendered":"

          In a world where technologies are evolving at a breakneck pace, SAS, a recognized leader in data processing and analytical intelligence, is taking a leading position by integrating artificial intelligence agents into its solutions. At the Innovate conference, the company unveiled several major advancements aimed at improving AI governance and the integration of industry-specific models. […]<\/p>\n","protected":false},"author":1,"featured_media":32375,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41],"tags":[149,10272,813,58468,822],"class_list":["post-32389","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe-en","tag-artificial-intelligence-en","tag-artificial-intelligence-agents-en","tag-innovation-en","tag-sas-en","tag-technology-en"],"_links":{"self":[{"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/32389","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/comments?post=32389"}],"version-history":[{"count":1,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/32389\/revisions"}],"predecessor-version":[{"id":32390,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/32389\/revisions\/32390"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media\/32375"}],"wp:attachment":[{"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media?parent=32389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/categories?post=32389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/tags?post=32389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}