Latest news with #SASViya
Channel Post MEA
17 hours ago
- Business
- Channel Post MEA
SAS Announces AI Models and Solutions For Health Care Industry, Payer Organizations
SAS has announced a new solution – SAS Health Cost of Care Analytics – targeted to health care payers and providers to support effective decision making about quality and cost of care. Available in July 2025, SAS Health Cost of Care Analytics taps into health claims data and enables health care organizations to construct and analyze claims as episodes of care by stitching together codes and patterns all along a 'care journey' from detection to treatment to care management. The health care analytics solution built on the data and AI platform SAS Viya can enable more cost-effective treatment pathways, reduce unwarranted admissions, decrease the length of hospital stays and more. SAS will introduce SAS Health Cost of Care Analytics and other data and analytic solutions for health care payers and the industry at AHIP 2025 in Las Vegas. Per Gartner, 'Payers increasingly need sophisticated data and analytics to achieve outcomes such as identifying rising risk populations, improving quality measure performance, managing the total cost of care and personalizing experiences.' SAS Health Cost of Care Analytics supports the industry with unique features that include: Flexible definitions for episodes of care. Users can analyze claims as episodes of care using transparent clinical definitions of their choice and detect associations for a holistic patient view. Users can analyze claims as episodes of care using transparent clinical definitions of their choice and detect associations for a holistic patient view. Value and care outcome measurement. The solution categorizes services and their care costs as being value-added or potentially avoidable. Additionally, expected and risk-adjusted costs are automatically calculated and can then be used as quality/efficiency measures or payment metrics. Other quality metrics, such as length of stay, are also captured. The solution categorizes services and their care costs as being value-added or potentially avoidable. Additionally, expected and risk-adjusted costs are automatically calculated and can then be used as quality/efficiency measures or payment metrics. Other quality metrics, such as length of stay, are also captured. Risk-based calculations to compare provider performance. Using medical claim data and applying user-selected rules, the solution attributes episodes of care to providers, facilitating the measurement of cost and quality of care relative to patient severity or to set reimbursement targets. Using medical claim data and applying user-selected rules, the solution attributes episodes of care to providers, facilitating the measurement of cost and quality of care relative to patient severity or to set reimbursement targets. Analytic insights with simplified data management. The product supports data validation and simplified data ingestion into the SAS Health common data model to create data repositories. 'As health care incentives focus in on value, providers and payers must identify the drivers of cost, quality and outcomes to make decisions about protocols and provider contracts,' said Brett Davis, Senior Manager, Health Care Advisory at SAS. 'Going far beyond traditional claims grouping, SAS Health Cost of Care Analytics generates valuable insights to identify variations and opportunities for improvement when assessing financial risk, all while understanding members in more detail.' Ready-made AI models for health care Also new on the market to support payers and providers are ready-made AI models. Complementing its health care solutions portfolio, SAS' AI models are built from decades of expertise in applying scalable and trustworthy AI to real-world use cases and are designed to tackle business challenges with precision and efficiency. The newly available models include: SAS Medication Adherence Risk : Medication adherence has long been a measure of patient health outcomes and a key factor in regulatory quality assessments (e.g., quality ratings for Medicare Advantage, Medicaid and Exchange). SAS Medication Adherence Risk enables managed care organizations to identify where resources are needed for timely and targeted intervention, resulting in enhanced patient engagement, better health outcomes, improved quality metrics and lower health care costs. : Medication adherence has long been a measure of patient health outcomes and a key factor in regulatory quality assessments (e.g., quality ratings for Medicare Advantage, Medicaid and Exchange). SAS Medication Adherence Risk enables managed care organizations to identify where resources are needed for timely and targeted intervention, resulting in enhanced patient engagement, better health outcomes, improved quality metrics and lower health care costs. SAS Document Analysis : The SAS Document Analysis model is an intelligent document processing pipeline focused on extracting contextual information from scanned document images and generating structured data assets. The AI model converts scanned images into summarized data for medical reviewers, allowing them to evaluate records more effectively and efficiently. The SAS Document Analysis model's enhanced analysis of unstructured claims data has already shown a 400% efficiency gain over manual review in one of the largest U.S. health insurers. : The SAS Document Analysis model is an intelligent document processing pipeline focused on extracting contextual information from scanned document images and generating structured data assets. The AI model converts scanned images into summarized data for medical reviewers, allowing them to evaluate records more effectively and efficiently. The SAS Document Analysis model's enhanced analysis of unstructured claims data has already shown a 400% efficiency gain over manual review in one of the largest U.S. health insurers. SAS Payment Integrity for Health Care Detect and Prevent: The payment integrity models offer capabilities for addressing issues with health billing errors and claim discrepancies, detecting fraud and preventing improper claims. The models are designed to accelerate implementation of SAS solutions that health care programs within private insurance plans and government-funded programs use to meet regulatory compliance requirements, operate transparently, and more efficiently manage and contain costs associated with fraud, waste and abuse.
Yahoo
10-06-2025
- Business
- Yahoo
Chartis: SAS ranks Top 3 in RiskTech AI 50, wins 'Responsible AI Adoption' and 'Use of AI in Retail Banking' categories
The Chartis RiskTech AI 50 2025 rankings laud SAS' 'unwavering commitment to ethical AI practices' and its advancement of real-time AI applications in financial services CARY, N.C., June 10, 2025 /PRNewswire/ -- SAS has earned a No. 3 overall ranking in Chartis Research's second annual Chartis RiskTech AI 50 report, a comprehensive ranking of the world's 50 most impactful and innovative providers of AI-driven risk technology. Additionally, the data and AI leader won two key category awards: Responsible AI Adoption. Chartis heralded SAS for its ethos-grounded commitment to AI ethics, including model transparency, governance and accountability. SAS embeds these and other critical ethical innovation principles into its product design and deployment strategies to ensure its AI solutions are not only effective but also trustworthy. Use of AI in Retail Banking. Chartis also recognized SAS for advancing AI in retail banking – with banking analytics solutions from fraud detection to risk and compliance to customer experience and marketing. By leveraging SAS' real-time analytics and advanced machine learning, financial firms like banks and insurers can detect threats early, adapt to emerging risks and deliver seamless, loyalty-building customer service. "SAS' strong debut in the RiskTech AI 50 2025 reflects its strategic approach to integrating ethical innovation with transformative AI," said Sid Dash, Chief Researcher at Chartis. "Its full-spectrum solutions portfolio, powered by high-performance SAS Viya, helped propel SAS to a commanding Top 3 ranking – and also earned SAS the No. 2 spot on our Chartis RiskTech100 2025. "With a proven track record, powerful platform and principled approach to AI, SAS is helping shape the future of risk technology." An AI platform built for trust, performance and productivityIndustry-leading SAS® Viya®, the company's cloud-native, language agnostic AI platform, enables organizations to deploy, govern and scale AI models at speeds up to 30x faster than competing platforms. By supporting a wide range of use cases – fraud detection, anti-money laundering compliance, credit risk modeling, asset and liability management, customer engagement and much more – SAS Viya fuels enterprise-wide insights and agility. "SAS' unified portfolio of AI-powered solutions delivers real-time insights and orchestrates agentic decisions that drive financial firms' core front- and back-office operations," said Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS. "What sets SAS apart is our ability to integrate firms' essential capabilities and data on a single, scalable platform, helping institutions to break down silos, streamline operations and make faster, more trustworthy decisions." Strategic vision and execution in a rapidly evolving AI landscapeThe Chartis RiskTech AI 50 2025 report highlights the accelerating pace of AI innovation in financial services. As generative AI and machine learning become more deeply embedded in enterprise workflows, vendors are being challenged to deliver not just novel capabilities, but real-world value. SAS has responded with a pragmatic, customer-centric approach. Unlike vendors that treat AI as a standalone capability, SAS embeds it as a foundational layer interwoven across business processes. Chartis commends SAS' strategic clarity and execution in its SAS Winner's Summary: "SAS is ensuring that its solutions remain relevant and effective in an ever-evolving landscape. By focusing on transparency, accountability and governance, SAS is well positioned to continue its leadership in leveraging AI to support institutions in growing, protecting and efficiently managing their operations." Meeting the moment in the intelligent banking ageAs AI reshapes the financial services landscape, banking leaders face a defining moment: how to balance innovation, trust, and performance in an increasingly complex, risk-laden environment. How are banking leaders using data and AI to meet the demands of the next decade? New SAS-sponsored research by Economist Impact, Intelligent Banking: The Future Ahead, explores how banks worldwide are transforming to tackle evolving risks and increased competition. Based on a survey of 1,700 senior executives in 18 countries, the study offers critical insight into how banking leaders are redefining customer value – and the industry itself. Download the full report at About SASSAS 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 © 2025 SAS Institute Inc. All rights reserved. Editorial Contact:Danielle View original content to download multimedia: SOURCE SAS Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Techday NZ
09-06-2025
- 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.
Yahoo
20-05-2025
- Business
- Yahoo
Butterfly Data wins SAS Hackathon with tool to fight misinformation
Powered by SAS Viya, it helps decision makers identify trustworthy data CARY, N.C., May 20, 2025 /PRNewswire/ -- The flood of misinformation and disinformation is becoming a major problem, often negatively influencing decisions and causing harm. The overall winner of the 2024 SAS Hackathon is working to address this problem. Team Butterflies from Butterfly Data, a SAS Partner, has developed an AI-powered tool to help analysts and decision makers assess data sources for their reliability and credibility. Based in the UK, Butterfly Data is a diverse team of experienced technology consultants specializing in data science and data management solutions that help organizations turn data into strategic assets. SAS is a leader in data and AI. The SAS Hackathon-winning solution uses advanced natural language processing (NLP) and classification models to check the trustworthiness of open source data. With Butterfly's tool, organizations can verify data sources, spot unreliable information and ensure the use of ethical information to make decisions. "In a world where data can shape decisions with real-world consequences, it is essential to ensure its reliability. Combating misinformation with trusted data leads to better and more transparent decisions," said Luke Coldridge, Senior Consultant at Butterfly Data and Team Leader for Team Butterflies. "We believe this tool can be a force for good, helping combat disinformation and promote a more informed world." Powered by Viya To create the solution, Team Butterflies used SAS' data and AI platform, SAS® Viya®, as well as SAS Viya Workbench and SAS Viya Copilot. They also leveraged open source tools like Git, Python and Visual Studio (VS) Code. Released in 2024, SAS Viya Workbench is a cloud-based coding environment purpose-built for developers, data scientists and modelers. It significantly improves speed and efficiency and makes it easier to conduct data management, analysis and model development using SAS or Python code, through VS Code or Jupyter Notebook. Built on Microsoft Azure AI Foundry, SAS Viya Copilot is an AI-driven conversational assistant embedded directly into the SAS Viya platform. It gives developers, data scientists and business users a powerful personal assistant that accelerates analytical, business and industry tasks. SAS Viya Copilot is currently available via an invitation-only private preview, with general availability coming later this year. Detecting disinformation Created using Agile software development principles, Team Butterflies' solution uses SAS Viya for advanced analytics and machine learning, with Viya Workbench and Viya Copilot accelerating model development and integrating large language model (LLM) technology. Open source tools supported flexible coding and seamless collaboration, while the Cloud Analytics Services (CAS) data-processing engine within Viya enabled centralized data management and real-time dashboards. SAS Information Catalog APIs further enhanced transparency by tracing data lineage and quality, boosting user confidence in the insights delivered. SAS Hackathon The 2024 SAS Hackathon boasted 1,731 registrants from more than 70 countries. This led to an all-time high of 145 approved teams that participated in the month-long hack, supported by 110 SAS mentors. SAS produces the annual SAS Hackathon, which was sponsored by long-time SAS Partners Microsoft and Intel. During the SAS Hackathon, teams of data scientists, business analysts, technology enthusiasts and students come together – often virtually across continents – to network, learn from each other and from a SAS mentor, and experiment with new technologies that spark innovation and improve lives. "Team Butterflies and all SAS Hackathon teams clearly demonstrate the potent combination of curiosity, innovation and AI technology to address big problems in business and society," said Einar Halvorsen, Global Hackathon Producer at SAS. "As a caterpillar transforms into something more, Team Butterflies' AI-powered tool transforms data into better insights and trustworthy decisions." The announcement of Team Butterflies as overall SAS Hackathon winner was made this month at SAS Innovate, the SAS data and AI technology conference. In November, Team Butterflies was named a 2024 SAS Hackathon winner in four categories, including EMEA region, Models technology, and Channel Readiness and Trustworthy AI special awards. More than 100 judges participated in the evaluation of SAS Hackathon projects. 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 © 2025 SAS Institute Inc. All rights reserved. Editorial Contact: Mike Nemecek SAS 919-531-5140 View original content to download multimedia: SOURCE SAS Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Channel Post MEA
15-05-2025
- Business
- Channel Post MEA
SAS Unveils AI Agents with Customizable Human-AI Interaction
SAS announced the availability of SAS Intelligent Decisioning on industry-leading data and AI platform SAS Viya – empowers organizations to design, deploy and scale AI agents with balanced human and AI autonomy, embedded governance and explainability of decisions. AI agents get decisioning support with ethical calibration True enterprise value from agentic AI comes from building collaborative, intelligence-amplifying systems that work with humans. SAS Viya's agentic AI framework is underpinned by three pillars that define how AI agents are designed and delivered: Applying a hybrid approach that combines the rigor of powerful deterministic analytics with the flexibility and reasoning of large language models (LLMs) enables customers to build AI agents that deliver precise and reliable outcomes, with the necessary business guardrails and rules required in regulated industries. Human and AI balance. SAS enables organizations to determine the appropriate level of AI autonomyand human involvement for AI agents based on task complexity, risk, and business goals. AI agents can operate fully autonomously in routine, data-driven tasks while humans provide oversight, ethical judgment, and strategic direction. SAS' built-in governance framework enables customers to build AI agents that not only deliver accurate outcomes but also adhere to ethical standards, maintain data privacy, align with business values and stand up to regulatory scrutiny. The future of agentic AI, powered by SAS Viya SAS Viya supports organizations through every stage of the agentic AI journey, from data ingestion and analysis to building, deploying and monitoring AI agents. It enables continuous performance tracking, governance and security, offering a comprehensive and streamlined approach to managing AI agents throughout their lifecycle. And SAS brings decades of trusted governance to the table, embedding auditability, bias detection and compliance into every agent. SAS' future agentic AI roadmap includes infusing co-pilot productivity assistants into SAS Viya to help users work faster, smarter and with fewer manual steps, while staying grounded in enterprise logic. Leaning into its deep industry expertise, SAS also plans to deliver pre-packaged, domain-specific intelligent agents that will integrate seamlessly into industry workflows (e.g., data engineering tasks, optimizing supply chains), helping organizations accelerate time-to-value without sacrificing control or confidence. 'SAS Viya builds agents that don't just act – they decide with purpose, guided by analytics, business rules and adaptability and grounded by decades of SAS' trusted governance,' said Marinela Profi, Global AI Market Strategy Lead at SAS. 'SAS' unified, governed, decision-first framework turns AI agents from a science experiment to a business differentiator.' 0 0
