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People are starting to compile resolutions for the new year, focusing on evolving their own habits and goals. At SAS, we’ve also looked toward 2026 to gather predictions on how AI in the public sector might evolve over the next 12 months. Prediction: By 2026, governments will utilize large language
AI는 금융을 비롯한 다양한 산업에서 혁신을 가속화하고 있습니다. 하지만 그 이면에는 데이터 편향, 환각(Hallucination), 개인정보 유출 등 새로운 리스크가 빠르게 증가하고 있죠. SAS는 지난 9월 17일 ‘금융기관을 위한 AI 거버넌스 및 미래 혁신 전략 세미나’를 개최하고 AI 기본법 시행을 앞둔 현 시점에서 금융기관이 어떤 준비를 갖춰야할 지에 대한 핵심 내용을
There are moments in your career that stay with you forever – not because they were carefully orchestrated – but because they were fueled by passion and a desire to make a real difference. For R&D Senior Director, Dan Tamburro, one of those moments came shortly after the terrorist attacks
As companies rush to adopt GenAI, one question keeps coming up: How do we make all this intelligence useful on the plant floor? SAS Vice President of IoT Jason Mann and Jobi George, Global VP of Business Development at Weaviate, discussed how vector databases and retrieval-augmented generation (RAG) are enabling manufacturers
Recently, a colleague struggled to find the source of a run-time error happening somewhere within a very large library of SAS IML function modules. Since the error happens at run time, I told my colleague about how to find the location of a run time error by reading the traceback
En un mundo hiperconectado, donde los pagos digitales y las transacciones online crecen a un ritmo vertiginoso, el fraude financiero y el incumplimiento normativo se han convertido en desafíos críticos para las organizaciones. Según la ACFE, las empresas pierden en promedio el 5% de sus ingresos anuales por fraude, lo
As coisas têm mudado no cenário das fraudes governamentais nos últimos anos. Os esquemas relativamente simples que víamos antes viraram operações sofisticadas que drenam bilhões dos cofres públicos e corroem a confiança do cidadão nas instituições. Mas avanços em inteligência artificial (IA) e analytics mostram que é possível virar esse
As a Senior Lecturer in Finance at Massey University, one of New Zealand’s leading tertiary institutions, my role as an educator is to prepare students to thrive in a rapidly evolving, data-driven world. I have always believed that analytics education must strike a balance between technical capability and critical thinking,
Generative AI (GenAI) has seemingly permanently shifted the trajectory of enterprise strategy, offering a way to transform massive amounts of unstructured data into actionable, contextual intelligence. However, as organizations move past pilot projects and scale this technology, they run headfirst into a widening gap between the potential of AI and
Each year, the SAS Finance Analytics School (SAS FAS4S) brings students inside the real world of financial decisioning – far beyond what any classroom lecture can offer. It’s a rare chance to see how analytics, AI and fraud prevention actually work inside banks, public institutions, and regulatory environments. That’s what
For years, “responsible AI” has lived comfortably as a corporate promise, a slide in a presentation, a talking point at a conference. But as the EU AI Act phases into force, that comfort is rapidly eroding. The regulation officially entered into force on August 1, 2024, but its obligations will
In some applications, it is useful to permute the rows or the columns of a matrix. A previous article discusses how random permutation of columns (within each row) are useful in constructing permutation tests. This article shows a simpler situation: Permuting the rows of a matrix to change their order.
Digital banking has made convenience the norm, but it’s also made fraud inevitable. The accelerating pace of digital transactions – real-time payments, mobile banking, embedded finance – creates new opportunities for innovation and opens the door to more sophisticated fraud. This is where AI steps in. Not just as a
1. Fraud Detection 정의 Fraud Detection(혹은 Fraud Detection System)이란 금융, 전자상거래, 통신, 보험 등 다양한 산업 영역에서 발생할 수 있는 사기나 부정 거래를 조기에 식별하고 방지하기 위한 기술적·분석적 접근을 의미합니다. 부정 행위 탐지의 핵심은 ‘정상적인 패턴과의 미묘한 차이’를 찾아내는 것입니다. 이를 위해 대량의 거래 데이터, 사용자 행동 로그, 네트워크 활동
Data is growing faster than most organizations’ ability to manage it. At the same time, business leaders are under pressure to deliver insights quickly and cost‑effectively. Traditional, closed systems often make that harder: they lock data into proprietary formats, increase duplication and limit flexibility. That’s why open data architecture is