Latest news with #NickPatience
Time of India
08-05-2025
- Business
- Time of India
SAS unveils AI agents with customisable human-AI interaction for transparent decisioning
Imagine a future where AI systems render decisions and take action with little to no human intervention. With the rapid advance of AI agents that future is nearly here. That's why SAS is building the agentic AI future on its bedrock of responsible innovation. SAS® Intelligent Decisioning – available on industry-leading data and AI platform SAS® Viya® – empowers organisations to design, deploy and scale AI agents with balanced human and AI autonomy , embedded governance and explainability of decisions. 'SAS' approach to agentic AI strikes the critical balance between autonomous decision-making and ethical governance ,' said Nick Patience, Vice President and Practice Lead, Artificial Intelligence Software and Tools at The Futurum Group. Operation Sindoor 'Op Sindoor's precision & execution was unimaginable': Rajnath Singh Operation Sindoor: India repels drone, missile attack across LoC Operation Sindoor: Several airports in India closed - check full list 'Its intelligent agents represent not just technological advancement but a pragmatic framework for responsible enterprise AI adoption – precisely what organisations need as they navigate this rapidly evolving landscape to gain a competitive advantage.' 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: 1. Decisioning : 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. 2. Human and AI balance : SAS enables organisations to determine the appropriate level of AI autonomy and 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. 3. Governance : 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. 'As organisations evolve toward open, interoperable AI ecosystems across multi-cloud and hybrid environments, trust and explainability in AI governance are emerging as key differentiators among tech vendors,' said Tiffany McCormick, Research Director, Digital Business Models and Monetization at IDC. 'SAS is taking industry-leading steps to address the growing demand for agentic AI, with a clear commitment to ethical rigor and differentiated execution in AI decisioning. The future of agentic AI, powered by SAS Viya SAS Viya supports organisations 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, optimising supply chains), helping organisations 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.' Learn more about AI agents with SAS. This 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.
Yahoo
07-05-2025
- Business
- Yahoo
SAS unveils AI agents with customizable human-AI interaction for transparent decisioning
SAS Viya's agentic AI framework with built-in governance helps organizations create purpose-built AI agents that fuel trusted decisions ORLANDO, Fla., May 7, 2025 /PRNewswire/ -- SAS INNOVATE -- Imagine a future where AI systems render decisions and take action with little to no human intervention. With the rapid advance of AI agents that future is nearly here. That's why SAS is building the agentic AI future on its bedrock of responsible innovation. SAS® Intelligent Decisioning – available 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. "SAS' approach to agentic AI strikes the critical balance between autonomous decision-making and ethical governance," said Nick Patience, Vice President and Practice Lead, Artificial Intelligence Software and Tools at The Futurum Group. "Its intelligent agents represent not just technological advancement but a pragmatic framework for responsible enterprise AI adoption – precisely what organizations need as they navigate this rapidly evolving landscape to gain a competitive advantage." 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: Decisioning. 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 autonomy and 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. Governance. 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. "As organizations evolve toward open, interoperable AI ecosystems across multi-cloud and hybrid environments, trust and explainability in AI governance are emerging as key differentiators among tech vendors," said Tiffany McCormick, Research Director, Digital Business Models and Monetization at IDC. "SAS is taking industry-leading steps to address the growing demand for agentic AI, with a clear commitment to ethical rigor and differentiated execution in AI decisioning."
Techday NZ
07-05-2025
- Business
- Techday NZ
SAS Viya launches agentic AI framework for ethical decisions
SAS has introduced a new framework for customisable AI agents on its SAS Viya platform, focusing on transparent, governed and ethically calibrated decision-making for enterprise customers. The announcement details the SAS Viya agentic AI framework, which enables organisations to design, deploy and manage AI agents with oversight on both human and AI autonomy. According to the company, this system aims to create collaborative environments where AI and human decision-makers work together based on the complexity and risk of tasks. Nick Patience, Vice President and Practice Lead, Artificial Intelligence Software and Tools at The Futurum Group, said: "SAS' approach to agentic AI strikes the critical balance between autonomous decision-making and ethical governance. Its intelligent agents represent not just technological advancement but a pragmatic framework for responsible enterprise AI adoption – precisely what organizations need as they navigate this rapidly evolving landscape to gain a competitive advantage." The structure of the SAS Viya agentic AI framework rests on three main pillars. The first is a hybrid decisioning method, combining deterministic analytics with large language models (LLMs) to offer reliable and precise decision outputs. This approach, the company says, allows AI agents to function effectively under the necessary business rules and regulatory requirements that are essential in highly regulated sectors. The second pillar focuses on balancing the degree of autonomy between human input and AI. The platform lets organisations determine the level of control AI agents have for different kinds of tasks, distinguishing between those that are suited to fully autonomous operation and those where ongoing human oversight remains essential for ethical judgement and strategic guidance. The third aspect is governance, with Viya's embedded framework intended to ensure that output not only meets performance standards but also supports data privacy, organisational ethics and wider regulatory compliance. Tiffany McCormick, Research Director, Digital Business Models and Monetization at IDC, stated: "As organizations evolve toward open, interoperable AI ecosystems across multi-cloud and hybrid environments, trust and explainability in AI governance are emerging as key differentiators among tech vendors. SAS is taking industry-leading steps to address the growing demand for agentic AI, with a clear commitment to ethical rigor and differentiated execution in AI decisioning." SAS Viya is presented as supporting organisations throughout the entire lifecycle of building and maintaining AI agents—from initial data ingestion and processing, through to deployment, monitoring and adaptation. The framework provides mechanisms for continuous oversight, including audit trails, bias detection and compliance checks. The company outlined future plans for its agentic AI roadmap, which include introducing co-pilot productivity assistants into the Viya ecosystem, aimed at helping users expedite their workflows while remaining aligned with enterprise requirements. There are also plans to release pre-packaged, domain-tailored AI agents for use in specific scenarios such as data engineering and supply chain optimisation. These domain-specific agents are designed to ease adoption and reduce time-to-value for customers without eroding their confidence in the automation. Marinela Profi, Global AI Market Strategy Lead at SAS, commented: "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. SAS' unified, governed, decision-first framework turns AI agents from a science experiment to a business differentiator." SAS said it aims to position its platform as a comprehensive and regulated solution for organisations looking to integrate agentic AI into their digital workflows while maintaining confidence and clarity in AI-powered business decisions.
