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With agentic AI, insurers have new tools for their fight against sophisticated claims fraud.
Durante años, las organizaciones han adoptado la Inteligencia Artificial como una herramienta de apoyo: sistemas que responden consultas, generan contenido o automatizan tareas específicas. Sin embargo, el desarrollo reciente de los agentes de IA marca el inicio de una nueva etapa en la evolución de esta tecnología: una transición desde
Talking about analytics platforms online doesn't usually start with awards. It starts with experience. People often talk about what helps them scale projects. What makes AI easier to operationalize? What holds up under real-world pressure? Across peer review platforms like G2, SAS® Viya® users have been sharing those experiences – describing
Since its inception, DuckDB has been commanding respect in the data management sphere, carving its place as a highly performant data processing system. At SAS, the rapid advancements DuckDB has made have gone far from unnoticed; that's why, in the 2025.07 release of SAS Viya, we introduced SAS/ACCESS Interface to
When people think about SAS Innovate, they usually picture keynotes, demos and conversations about technology. While true, what they don’t always see is the work happening behind the scenes – the creativity, craft and collaboration that help shape the experience long before attendees arrive. This year’s SAS Innovate in Texas
Good old Scotch drink! Inspire me, until I lisp and wink, To sing your name! -- Robert Burns (1785) Scotch whisky (spelled without an 'e') is a popular drink that makes up a multi-billion dollar industry. Scotch whisky accounts for almost 75% of Scotland's food and drink exports! Poets
SAS Innovate 2026 is building on what attendees loved last year while introducing a few meaningful updates. More content for the SAS user community SAS User Day: An afternoon dedicated to content curated by SAS User Groups from around the world, offering peer-driven sessions and practical insights. This will take
Governance, risk and compliance (GRC) frameworks are well established on paper. Most organizations have strategies, policies, risk registers and controls in place. Yet for many leaders, the reality looks quite different. Processes remain opaque. Responsibilities blur across functions. Regulatory changes trigger reactive workarounds rather than controlled execution. Audits consume excessive
For years in enterprise analytics, the focus was on capability. More data. Faster computing. Stronger models. Organizations have invested heavily in modern data platforms to close the sophistication gap. That gap is largely closed. What hasn’t closed is the execution gap. Platform teams are discovering something: even in highly mature
Most organizations encounter various complexities and bottlenecks. Whether it is due to continued economic uncertainty or shifting customer expectations. Much of this is also driven by data and AI, which are reshaping decision-making, including how societies approach labor. Ultimately, what will differentiate organizations is how they use their data and
As AI agents act autonomously in public spaces, recent incidents highlight the urgent need for strong guardrails, ethical alignment, and human judgment to ensure AI augments society rather than undermines trust, work, and human connection.
With SAS Innovate 2026 approaching, it’s a good time to step back and look at what this year’s agenda says about the state of data and AI. As in any year, speakers and presenters will cover a wide range of topics, from platform fundamentals to emerging ideas just entering production.
In the enterprise risk and fraud space, the word "creativity" has traditionally implied a lack of control. For decades, organizations have refined deterministic models – if credit score is X and debt-to-income ratio is Y, then take action Z – to ensure compliance, repeatability and stability. That approach worked because
Financial institutions are entering a new phase in credit risk modeling. AI and machine learning are no longer experimental capabilities. They are becoming central to how risk is assessed, priced and managed at scale. At the same time, regulatory expectations are evolving. The European Central Bank (ECB) has opened the
As AI agents optimize how they communicate, the shift away from human-readable language underscores why transparency and interpretability are essential for building trust in autonomous systems.