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DeeperML - #viya
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@www.aiwire.net
// 18d
SAS is making a significant push towards accountable AI agents, emphasizing ethical oversight and governance within its SAS Viya platform. At SAS Innovate 2025 in Orlando, the company outlined its vision for intelligent decision automation, highlighting its long-standing work in this area. Unlike other tech vendors focused on quantity, SAS CTO Bryan Harris stresses the importance of decision quality, arguing that the value of decisions to the business is the key metric. SAS defines agentic AI as systems that blend reasoning, analytics, and embedded governance to make autonomous decisions with transparency and human oversight when needed.
SAS views Large Language Models (LLMs) as valuable but limited components within a broader AI ecosystem. Udo Sglavo, VP of applied AI and modeling R&D at SAS, describes the agentic AI push as a natural evolution from the company's consulting-driven past. SAS aims to take its extensive IP from solving similar challenges repeatedly and incorporate it into software products. This shift from services to scalable solutions is accelerated by increased customer comfort with prepackaged models, leading to wider adoption of agent-based systems. SAS emphasizes that LLMs are only one piece of a larger entity, stating that decision quality and ethical considerations are paramount. Bryan Harris noted that LLMs can be unpredictable, which makes them unsuitable for high-stakes applications where auditability and control are critical. The focus on accountable AI agents ensures that enterprises can deploy AI systems that act autonomously while maintaining the necessary transparency and oversight.
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@siliconangle.com
// 24d
SAS and Intel are collaborating to redefine AI architecture through optimized intelligence, moving away from a GPU-centric approach. This partnership focuses on aligning hardware and software roadmaps to deliver smarter performance, lower costs, and greater trust across various environments. Optimized intelligence allows businesses to tailor their AI infrastructure to specific use cases, which ensures efficient and ethical AI practices with human-centered design, instilling greater confidence in real-world outcomes. SAS and Intel have a 25-year relationship built around this concept, with deep investments in technical alignment to ensure hardware and software co-evolve.
SAS is integrating Intel's silicon innovations, such as AMX acceleration and Gaudi GPUs, into its Viya platform to provide cost-effective performance. This collaboration enables clients to deploy advanced models without overspending on infrastructure, with Viya demonstrating significant performance improvements on the latest Intel platforms. The company is also working with companies like Procter & Gamble and quantum hardware providers including D-Wave, IBM, and QuEra to develop hybrid quantum-classical solutions for real-world problems across industries like life sciences, finance, and manufacturing. A recent global SAS survey revealed that over 60% of business leaders are actively investing in or exploring quantum AI, although concerns remain regarding high costs, a lack of understanding, and unclear use cases. SAS aims to make quantum AI more accessible by working on pilot projects and research, providing guidance to businesses on applying quantum technologies. SAS Principal Quantum Architect Bill Wisotsky states that quantum technologies allow companies to analyze more data and achieve fast answers to complex questions, and SAS wants to simplify this research for its customers.
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Coen van@Techzine Global
// 27d
ServiceNow is making significant strides in the realm of agentic AI, highlighted at their Knowledge 2025 conference. A key announcement is a partnership with Nvidia to develop Apriel Nemotron 15B, an open-source reasoning model. This model is designed to be faster and more cost-effective than larger language models, while still providing enterprise-grade intelligence. The ambition is to give businesses a single, coherent way to get all their different AI tools and intelligent agents working together, right across the company.
NVIDIA NeMo, NVIDIA Llama Nemotron open datasets and ServiceNow domain data trained on NVIDIA DGX Cloud was used to create this new model. Apriel Nemotron 15B is engineered for reasoning. It draws inferences, weighs goals, and navigates rules in real-time. This makes it well-suited for powering AI agents that can support thousands of concurrent enterprise workflows. Furthermore, ServiceNow and NVIDIA are introducing a new data flywheel architecture, integrating ServiceNow’s Workflow Data Fabric with NVIDIA NeMo microservices, enabling continuous learning and improvement for the AI model. In addition to the Nvidia partnership, ServiceNow is launching Agentforce for HR Service. This initiative brings AI agents and Service Cloud capabilities to human resources, empowering employees to get personalized answers to HR-related questions and take action on their own, freeing overwhelmed HR teams to focus on more strategic work. ServiceNow believes AI innovation is the answer here, a way to fundamentally change how businesses run – making them more resilient, more efficient, and helping them get a handle on costs, all while chipping away at that mountain of tech debt and operational guesswork.
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