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SAS debuts new, custom AI models to bust business bottlenecks
SAS debuts new, custom AI models to bust business bottlenecks

Zawya

time17-07-2025

  • Business
  • Zawya

SAS debuts new, custom AI models to bust business bottlenecks

SAS INNOVATE, ORLANDO, Fl. – In the latest wave of its $1 billion investment in industry solutions, data and AI leader SAS has debuted a new selection of AI models. Each model addresses a specific labor- and time-intensive process that can drag business down. They come either pre-trained and ready-to-go, or as model pipelines that tailor and accelerate model training on customer data. All can quickly and easily integrate with the existing systems of organizations of all sizes. Built to rigorous standards set by the SAS Data Ethics Practice, the models are explainable, coming with clear, simple documentation outlining how they arrive at decisions. Users are well-equipped to take back their time and enjoy boosted productivity and return on investment, all while adhering to the highest standards of responsible innovation. The models, available now, include: Cross-Industry: AI-Driven Entity Resolution. Document Analysis. Health Care: Medication Adherence Risk. Manufacturing: Strategic Supply Chain Optimization. Public Sector: Payment Integrity for Food Assistance. Tax Compliance for Sales Tax. 'SAS Models are based on SAS' core assets, talent and intellectual property from its wealth of experience working with customers to solve industry problems,' said Kathy Lange, Research Director at IDC. 'Between their scalability and seamless integration with existing environments, SAS Models are a great option for those looking to accelerate time to production who might lack the expertise or time to build models from scratch.' A model portfolio on a roll and an agentic sneak preview As SAS continues to lead the future of AI for business, new models will be launched per evolving customer and market demand. Fresh offerings coming in 2025 will include: Banking: Fraud Decisioning for Payments and Card Models. Health Care: Payment Integrity for HealthCare. Manufacturing: Worker Safety Monitoring. Public Sector: Tax Compliance for Individual Income Tax. As SAS redefines what's possible with pre-built AI innovation, the next chapter includes agentic counterparts to SAS' models, bringing even more autonomy to industry-specific offerings. It can take weeks or months for data scientists to create and fine-tune data lakes: essential repositories that can store, then crunch large amounts of raw customer data in its original format, then restructure and transform it to make it ready for models to use. SAS' answer to this issue: a pre-built AI agent that will automate complex data preparation tasks, helping models run in real time, with no manual data restructuring required. 'We believe the future of AI lies in agents that are not only intelligent but also responsible, ready-to-use and relevant,' said Udo Sglavo, VP of Applied AI and Modeling, R&D at SAS. 'Our new industry-specific models, built on decades of domain expertise and guided by our ethics-first approach, represent a bold step toward agentic AI: solutions that think with context, act with purpose and deliver real-world impact.' Today's announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. About SAS SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.

SAS launches AI models after USD $1 billion investment push
SAS launches AI models after USD $1 billion investment push

Techday NZ

time09-06-2025

  • Business
  • Techday NZ

SAS launches AI models after USD $1 billion investment push

SAS has released a set of artificial intelligence models targeting business processes that are traditionally labour-intensive and time-consuming. The launch is part of a USD $1 billion investment by SAS in industry-focused data and AI solutions intended to streamline specific business bottlenecks. The newly introduced models are designed either for immediate deployment or to serve as a foundation that organisations can quickly customise, enabling faster model training on internal data. SAS states that these packaged models are compatible with existing systems and suitable for organisations regardless of size. Model Applications The available models span several industries. For cross-industry use, SAS has presented AI-Driven Entity Resolution and Document Analysis. Within health care, there is a model focused on Medication Adherence Risk, while manufacturing clients have access to Strategic Supply Chain Optimisation. Public sector releases include Payment Integrity for Food Assistance and Tax Compliance for Sales Tax. SAS has indicated that each model was developed according to its Data Ethics Practice guidelines. According to the company, this ensures the resulting outputs are easy for organisations to understand and explain. SAS asserts that users can improve productivity and return on investment as a result of deploying these solutions, while maintaining an adherence to principles of responsible use. Kathy Lange, Research Director at IDC, commented on the nature and flexibility of the SAS Models portfolio. She said, "SAS Models are based on SAS' core assets, talent and intellectual property from its wealth of experience working with customers to solve industry problems. Between its scalability and seamless integration with existing environments, SAS Models are a great option for those looking to accelerate time to production who might lack the expertise or time to build models from scratch." Future Roadmap In addition to the models now available, SAS outlined plans for expanding its industry-specific AI library. Scheduled for later in 2025 are new models addressing needs in banking (Fraud Decisioning for Payments and Card Models), health care (Payment Integrity for HealthCare), manufacturing (Worker Safety Monitoring) and the public sector (Tax Compliance for Individual Income Tax). SAS also announced it is working on "agentic" versions of its models, designed to increase autonomy within business-specific AI solutions. According to SAS, these forthcoming agentic offerings will aim to further reshape operational efficiency by introducing pre-built agents capable of automating complex data preparation processes. Data Preparation Solution The challenge of preparing large volumes of raw data so that it is suitable for AI model training is significant for many organisations. Data scientists often spend extended periods building and refining data lakes—repositories that structure raw customer data for analysis. SAS is responding to this challenge with an AI agent designed to automate complex data preparation processes, thereby facilitating real-time model operation with minimal manual intervention. "We believe the future of AI lies in agents that are not only intelligent but also responsible, ready-to-use and relevant," said Udo Sglavo, VP of Applied AI and Modeling, R&D at SAS. "Our new industry-specific models, built on decades of domain expertise and guided by our ethics-first approach, represent a bold step toward agentic AI: solutions that think with context, act with purpose and deliver real-world impact." Delivery and Integration SAS reports that organisations implementing its models have access to clear, simplified documentation intended to support transparent and responsible use. Each model can be tailored to meet sector-specific requirements and can supplement existing IT and business infrastructures. The release of these new AI models represents the latest step in SAS' long-term development strategy, continuing its aim to address evolving customer priorities across a range of sectors.

SAS Viya unveils new AI tools & services to boost productivity
SAS Viya unveils new AI tools & services to boost productivity

Techday NZ

time09-06-2025

  • Business
  • Techday NZ

SAS Viya unveils new AI tools & services to boost productivity

SAS has announced a series of updates and new features on its SAS Viya platform, aimed at enhancing AI-driven productivity and supporting a wider range of users and organisations. Platform updates The SAS Viya platform now provides users with the ability to either build AI through a suite of end-to-end tools or purchase AI solutions and model packages, offering increased flexibility and productivity for decision-making across industries. Kathy Lange, Research Director for AI Software at IDC, commented, "SAS is evolving its strategy and portfolio to embrace a broader ecosystem of user personas, preferences, and technologies within an enterprise's AI technology stack. SAS continues to develop offerings that streamline and automate the AI life cycle and enable organisations to make better business decisions faster." Key releases SAS Data Maker, first introduced through a private preview, is a synthetic data generator designed to help organisations address challenges related to data privacy and scarcity. The tool also aims to simplify data management processes and reduce resource usage. The development of SAS Data Maker was accelerated by SAS's recent acquisition of principal software assets from Hazy, a specialist in synthetic data. General availability for SAS Data Maker is expected in the third quarter of 2025. SAS Viya Intelligent Decisioning, which is currently available, offers organisations the ability to create and deploy intelligent AI agents with a controlled mix of AI autonomy and human involvement. According to SAS, this is intended to ensure appropriate oversight for tasks with varied complexity and risk profiles. Another new addition is SAS Managed Cloud Services: SAS Viya Essentials. This service packages selected SAS Viya products into an out-of-the-box managed cloud environment. Initially targeted at small and medium-sized businesses, SAS Managed Cloud Services: Viya Essentials is intended to reduce barriers to adopting AI solutions by providing an accessible hosted service. The SAS Viya Copilot, an AI-powered conversational assistant, is built into the SAS Viya platform to support developers, data scientists, and business users with analytical, business, and industry tasks. Currently available by invitation through a private preview, the general release is scheduled for the third quarter of 2025. The Copilot offers AI-powered assistance with model development and coding for SAS users. It is built on Azure AI Services, reflecting the ongoing partnership between SAS and Microsoft. SAS Viya Workbench, originally launched in 2024, is a cloud-based environment intended for developers, data scientists, and modellers. The workbench supports coding in SAS and Python via Visual Studio Code or Jupyter Notebook. Updates in 2025 include the addition of R language support, the integration of SAS Enterprise Guide as an optional development environment, and expanded availability to the Microsoft Azure Marketplace in addition to the existing AWS Marketplace. AI in practice SAS has reported that organisations using the Viya platform benefit from the ability to build and deploy AI models more efficiently. The platform's structure allows multiple job functions—including developers, data scientists, IT professionals, and business analysts—to collaborate throughout the data and AI life cycle. SAS suggests this collaboration streamlines the path to making informed business decisions and accelerates productivity across various sectors and regulatory contexts. Referencing industry research, SAS cited a 2024 AI productivity study by Futurum Group: "SAS Viya helps users accelerate the AI life cycle, enabling them to collect data, build models, and deploy decisions 4.6 times faster than selected competitors – all while helping them increase innovation, expedite decision making and drive revenue growth." "The current economic climate and rapid pace of AI innovation can feel intense and overwhelming," said Bryan Harris, Chief Technology Officer at SAS. "Our goal is to deliver cutting-edge AI capabilities that help organisations navigate the hype and disruption, make breakthroughs in problem solving, and gain a decision advantage." Real world usage SAS highlighted the use of its platform by Fathom Science, a start-up focused on marine data analytics. Fathom Science used SAS Data Maker to generate synthetic shipping lane data, expanding their dataset to 500,000 points, in order to validate a model designed to predict whale locations and reduce the risk of vessel strikes on critically endangered North Atlantic right whales. SAS Viya Workbench was used subsequently to develop machine learning models for calculating the probability of whales' proximity to shore, assisting with statistical and machine learning validation of the location prediction model. SAS stated that through these enhancements, the Viya platform aims to support a diverse range of users in addressing real business and environmental challenges efficiently with AI-driven solutions.

From synthetic data to AI agents, new SAS Viya innovations boost speed, productivity and trust
From synthetic data to AI agents, new SAS Viya innovations boost speed, productivity and trust

Business Standard

time14-05-2025

  • Business
  • Business Standard

From synthetic data to AI agents, new SAS Viya innovations boost speed, productivity and trust

VMPL Mumbai (Maharashtra) [India], May 14: Data and AI leader SAS today announced its latest offerings on the SAS® Viya® platform, spanning the latest leaps in AI advancement to scale and galvanize human productivity and decision-making. "SAS is evolving its strategy and portfolio to embrace a broader ecosystem of user personas, preferences, and technologies within an enterprise's AI technology stack," said Kathy Lange, research director for AI Software at IDC. "SAS continues to develop offerings that streamline and automate the AI life cycle and enable organizations to make better business decisions faster." The latest and upcoming SAS Viya debuts include: * SAS Data Maker - Introduced through private preview last year, SAS' secure synthetic data generator helps organizations tackle data privacy and scarcity challenges, while simplifying processes and conserving resources. Accelerated through SAS' recent acquisition of synthetic data pioneer Hazy's principal software assets, SAS Data Maker is expected for general availability in the third quarter of 2025. * SAS Viya Intelligent Decisioning - Available now, SAS Viya Intelligent Decisioning facilitates building and deploying intelligent AI agents with just the right AI-autonomy-to-human-involvement ratio to strike the optimal oversight balance for task complexity, risk and business goals. * SAS Managed Cloud Services: SAS Viya Essentials - A packaged Managed Cloud Services offering of select SAS Viya products, SAS Managed Cloud Services: SAS Viya Essentials was launched in early 2025. Currently targeted to small and mid-size businesses, SAS Managed Cloud Services: Viya Essentials reduces the barrier to entry, delivering SAS Viya in a small, out-of-the box hosted managed service. * SAS Viya Copilot - Built on Microsoft Azure AI Foundry, SAS Viya Copilot is an AI-driven conversational assistant embedded directly into the SAS Viya platform that gives developers, data scientists and business users alike a powerful personal assistant that accelerates analytical, business and industry tasks. SAS Viya Copilot is currently available via an invitation-only, private preview, with the general availability release coming in the third quarter of 2025. Key features of the initial Copilot offering include AI-powered model development and code assistance for SAS users. * SAS Viya Workbench - Released in 2024, SAS Viya Workbench is a cloud-based coding environment purpose-built for developers, data scientists, and modelers to significantly improve speed and efficiency and easily conduct data management, analysis, and model development using SAS or Python code, through Visual Studio Code or Jupyter Notebook. New in 2025 is the support of R coding, SAS Enterprise Guide as an optional integrated development environment (IDE) option, and the expansion from the initial availability on AWS Marketplace to now include availability on Microsoft Azure Marketplace. Learn more about SAS data and AI products at: Unparalleled productivity, trusted results SAS is breaking through the AI and GenAI hype to deliver real capabilities that drive real results with SAS Viya - a comprehensive data and AI platform that empowers people of all skill levels to participate in the analytics process. The SAS Viya platform delivers users a choice to be a builder of AI with end-to-end platform tools, or buyers of AI solutions and model packages - each delivering scale and productivity to enable better decisions and faster time to value. Developers, data scientists, IT professionals and business analysts can collaborate seamlessly within the SAS Viya ecosystem and throughout the data and AI life cycle to make intelligent decisions. SAS Viya accelerates productivity across diverse industries and regulatory landscapes, offering a clear advantage to organizations, particularly CIOs and IT leaders. In fact, a 2024 Futurum Group AI productivity study revealed that SAS Viya helps users accelerate the AI life cycle, enabling them to collect data, build models, and deploy decisions 4.6 times faster than selected competitors - all while helping them increase innovation, expedite decision making and drive revenue growth. "The current economic climate and rapid pace of AI innovation can feel intense and overwhelming," said Bryan Harris, Chief Technology Officer at SAS. "Our goal is to deliver cutting-edge AI capabilities that help organizations navigate the hype and disruption, make breakthroughs in problem solving, and gain a decision advantage." Supporting global conservation with data and AI The power of SAS Viya extends beyond improving business outcomes to boosting global conservation efforts. Fathom Science, a technology start-up building digital twins of the ocean, tapped SAS Viya to tackle an impractical problem that brought together the unlikely combination of ocean data, AI and a species in need of a lifeline. To validate their state-of-the-science whale location prediction model that helps prevent vessels from striking critically endangered North Atlantic right whales, Fathom Science used SAS Data Maker to create synthetic data with the characteristics of the actual shipping lane data to expand to 500,000 data points. With the data in hand, SAS Viya Workbench was used to develop models to calculate the probability of whales' distance from shore. The result? Fathom Science gained statistical and machine learning validation of its whale location prediction model. The announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. This year's event is supported by our partner sponsors, including Microsoft, Intel and AWS. Keep up with the latest news from SAS by visiting or follow us on LinkedIn or X. About SAS SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright© 2024 SAS Institute Inc. All rights reserved.

SAS debuts new, custom AI models to bust business bottlenecks
SAS debuts new, custom AI models to bust business bottlenecks

Time of India

time09-05-2025

  • Business
  • Time of India

SAS debuts new, custom AI models to bust business bottlenecks

SAS INNOVATE , ORLANDO, In the latest wave of its $1 billion investment in industry solutions, data and AI leader SAS has debuted a new selection of AI models. Each model addresses a specific labor- and time intensive process that can drag business down. SAS' packaged models come either ready-to-go or intended to tailor and accelerate model training on customer data. All can quickly and easily integrate with the existing systems of organizations of all sizes. Inspired by guidelines from SAS' Data Ethics Practice, customers can rely on SAS' simple documentation to create models that deliver results that are easy to understand and explain. Users are equipped to take back their time and enjoy boosted productivity and return on investment, all while adhering to the highest standards of responsible innovation. The models, available now, include: • Cross-Industry: o AI-Driven Entity Resolution. o Document Analysis. • Health Care: o Medication Adherence Risk. • Manufacturing: o Strategic Supply Chain Optimization. • Public Sector: o Payment Integrity for Food Assistance. o Tax Compliance for Sales Tax. 'SAS Models are based on SAS' core assets, talent and intellectual property from its wealth of experience working with customers to solve industry problems,' said Kathy Lange, Research Director at IDC. 'Between their scalability and seamless integration with existing environments, SAS Models are a great option for those looking to accelerate time to production who might lack the expertise or time to build models from scratch.' A model portfolio on a roll and an agentic sneak preview As SAS continues to lead the future of AI for business , new models will be launched per evolving customer and market demand. Fresh offerings coming in 2025 will include: • Banking: o Fraud Decisioning for Payments and Card Models. • Health Care: o Payment Integrity for Health Care. • Manufacturing: o Worker Safety Monitoring. • Public Sector: o Tax Compliance for Individual Income Tax. As SAS redefines what's possible with pre-built AI innovation, the next chapter includes agentic counterparts to SAS' models, bringing even more autonomy to industry-specific offerings. It can take weeks or months for data scientists to create and fine-tune data lakes: essential repositories that can store, then crunch large amounts of raw customer data in its original format, then restructure and transform it to make it ready for models to use. SAS' answer to this issue: a pre-built AI agent that will automate complex data preparation tasks, helping models run in real time, with no manual data restructuring required. 'We believe the future of AI lies in agents that are not only intelligent but also responsible, ready-to-use and relevant,' said Udo Sglavo, VP of Applied AI and Modeling, R&D at SAS. 'Our new industry-specific models, built on decades of domain expertise and guided by our ethics-first approach, represent a bold step toward agentic AI: solutions that think with context, act with purpose and deliver real-world impact.' Today's announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. This year's event is supported by our partner sponsors, including Microsoft, Intel and AWS.

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