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Analytics
Thorsten Hein 0
Valuable customers? Insurers toe the line with agentic AI

Agentic AI has been heralded as a top tool for efficiently orchestrating customer engagement activities at insurance companies. It can: Automate repeatable, rule-based processes that affect customer experience (think claims processing and customer onboarding). Rapidly retrieve disparate data, analyze risks and recommend decisions. Help lower operational costs while keeping humans

Artificial Intelligence | Innovation
Edie Moyers 0
Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector

Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning,

Advanced Analytics | Analytics | Artificial Intelligence
Daniel Moïse 0
Conozca el coste real de su negocio

Optimice y modernice todo el proceso de planificación financiera con analítica El problema El ritmo de los cambios normativos, junto con el crecimiento explosivo de los datos financieros y operativos disponibles, ha hecho que las soluciones de contabilidad tradicionales sean incapaces de proporcionar la información crítica sobre los costes, la

Data Management | Innovation | Internet of Things
Saurabh Mishra 0
Enterprise AI agents: Requirements for reliable data access

Many conversations about AI agents focus on models and frameworks. But when organizations attempt to deploy agents in real operational environments, a different challenge quickly emerges. How agents reliably and securely access enterprise data. Without reliable access to relevant data, AI agents struggle to support operational decisions. Whether diagnosing equipment

Artificial Intelligence | Data Management | Innovation
Reyk Mikles 0
What a modern governance platform looks like – and how to choose the right one

Governance, risk and compliance (GRC) has evolved beyond a control mechanism or regulatory safeguard. In today’s environment, it forms the operational backbone of effective corporate management – enabling organizations to identify risks early, meet regulatory expectations reliably, and ensure that decisions and processes remain transparent and traceable. Yet many organizations still

Analytics
Ursula Polo 0
5 ways to approach enterprise decisioning governance

Enterprise decisioning has moved far beyond isolated, one‑off decisions. Today’s organizations operate in environments where decisions are continuous, high‑volume and increasingly autonomous – executed thousands to millions of times per day across credit origination, fraud detection, next‑best action, pricing and personalized engagement. These decisions are not monolithic. They combine business

Analytics | Artificial Intelligence
SAS Korea 0
AI 에이전트와 에이전틱 AI 활용 가이드

에이전틱 AI는 자동화와 의사결정을 위한 차세대 키워드로 주목받으며 큰 기대를 모으고 있습니다. 하지만 이러한 열기 이면에는 다소 조심스러운 전망이 자리 잡고 있습니다. 가트너(Gartner)는 비용 급증, 불분명한 비즈니스 가치, 부적절한 리스크 관리 등의 이유로 에이전틱 AI 프로젝트의 40% 이상이 2027년 말까지 중단될 것이라고 경고합니다. *이 글은 SAS 글로벌 공공 부문 전략

Analytics | Fraud & Security Intelligence
0
탐지에서 관리로, 금융 사기 대응의 패러다임 전환(Fraud Management Cycle)

금융 산업의 성장과 디지털 전환, 핀테크의 부상은 전례 없는 편리한 금융 서비스를 가능하게 했습니다. 그러나 비대면 거래가 일상화되며 금융사기(Fraud) 역시 빠르게 조직화·지능화되고 있습니다. 최근에는 AI 기반 음성 합성, 딥페이크 등이 범죄에 악용되면서 개인의 경험만으로는 이상 징후를 식별하기 어려운 수준까지 진화했습니다. 더 중요한 변화는 책임의 범위입니다. 정부는 금융회사가 일정 한도 내에서

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Work & Life at SAS
Sofia Real 0
O potencial transformador da IA no Marketing

Nos últimos anos, a IA deixou de ser uma tecnologia futurista para se tornar um elemento cada vez mais central na estratégia das empresas, inclusive para a área de Marketing ao ajudar na redefinição da forma como as marcas interagem e chegam até aos consumidores. Segundo, aliás, o estudo Marketers

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