Uncategorized

Analytics | Fraud & Security Intelligence
Mike Pflug 0
What do identity thieves covet the most?

Recently nine pharmacists from across the country were charged for their part in a $12.1M health care fraud scheme. The pharmacists allegedly took money for prescription medications that were neither purchased nor dispensed. The indictments further allege that the defendants billed Medicare and Medicaid for medications that were often medically unnecessary and for some medications that were purportedly dispensed to

Analytics
Lindsay Marshall 0
How we’re reimagining data access on the cloud

You look to the cloud for several reasons – to meet your cloud-first strategy, for scalability or to adapt quickly to changing business demands. Maybe all three.   Perhaps you need offerings to be available in various regions, or to reduce application response time and improve latency problems. Perhaps regulatory and compliance constraints are limiting (or mandating) the physical locations where your data can be stored and transmitted. This is why having a global data footprint is

Analytics | Fraud & Security Intelligence
WooSeong Jeon 0
디지털 시대의 새로운 사기위험에 대응하는 시스템과 운영전략

고객은 금융기관이 개인 정보를 안전하게 관리하면서도 거래지연 없는 쉽고 빠른 서비스를 제공 해주기를 원합니다. 따라서 디지털 시대의 금융기관은 보다 빠르고 편리한 서비스를 보다 안전하게 제공하기 위해 실시간으로 위험거래를 탐지할 수 있는 시스템과 위기상황에 신속히 대응할 수 있는 정책이 준비되어야 합니다. 편리함이 가져온 새로운 위험요소 디지털화는 속도와 편리성이 높아 24시간 언제든

Analytics | Fraud & Security Intelligence
Tom Wriggins 0
COVID opens door to pervasive healthcare fraud

It's easy to get distracted by new developments in the fight against healthcare fraud. New services. New providers. Relaxation of rules. The COVID-19 pandemic has quickly revolutionized the healthcare landscape. For instance, the government made sweeping regulatory changes to accommodate a surge in patients. Healthcare delivery and payment organizations, commercial

Machine Learning
Katie Tedrow 0
Enhancing your Natural Language Processing: Intro to Conversational AI

Conversational AI can offer a way to provide that always-on 24/7, fast, convenient experience that can go anywhere (phone, computer smart speakers, even your car). It can provide a human-like experience through real-time, personalized interaction with AI running in the background. This technology is being applied across many industries for a variety of use cases (both customer-facing and for internal use).

Analytics | Fraud & Security Intelligence
Jen Dunham 0
Fighting bribery and corruption with supplier integrity

Bribery and corruption continue to plague governments and organizations around the world. Brazil’s Operation Car Wash, the 1MDB scandal in Malaysia, the FIFA bribery case and many others continue to make headlines. The prevalence of widespread, coordinated corruption and bribery is alarming and seems to continue to grow, despite ongoing sanctions and fines meant to deter these

Analytics | Fraud & Security Intelligence
Timo Kettunen 0
Adding insult to injury: Workplace safety and fraud

If a cinderblock falls from the 4th floor of a building and crushes a construction worker’s foot, it’s terrible. If it lands on his head, it’s truly tragic. But the difference is sheer luck.  Every employee deserves to return home safely from work. Unfortunately, accidents happen, which is why employers must carry mandatory workers’ compensation

Analytics | Fraud & Security Intelligence | SAS Events
Ilkay Aydogdu 0
Eureko Sigorta Data Studio Lideri Özlem Odar: “Veri ve analitik projelerin çevik yöntemlerle uygulanmasını ve hızlı sonuçlar üretilmesini amaçlıyoruz”

Sanal etkinliğimiz Beyond Tomorrow öncesinde Eureko Sigorta’nın Data Studio Lideri Özlem Odar ile görüşme imkanı buldum. Hepimizin bildiği gibi Türkiye'nin öncü sigorta firmaları arasında yer alan Eureko Sigorta, hasar yönetimi ve risk değerlendirme konusundaki uzmanlığı ile alanında lider konumda olan uluslararası bir yapıya sahip. Avrupa'nın 6 ülkesinde 22.000 çalışanıyla dünyanın

Analytics | Data Management
Jong-Phil Park 0
[분석기술의 실용화 전략 #2] Operationalizing Analytics와 세가지 사례

지난 글에서는 분석 모델을 배포하기까지 많은 시간이 소요되는 이유, 이를 극복하기 위한 방법으로서 운영계에 적용하는 ModelOps의 개념과 효과를 소개해드렸습니다. 하지만 통상적으로 기업의 의사결정이 분석의 결과만으로 이뤄지지는 않습니다. 분석 인사이트를 기반으로 하되 기업에서 설정한 비즈니스 룰을 확인해야 하며, 기업 안팎의 상황에 대한 검토도 필요합니다. 금융권을 예로 들면, 고객의 신용대출 요청에 따른

Analytics | Data Management
Kalliopi Spyridaki 0
Data governance: The renewed imperative for digital financial institutions

New and more prescriptive privacy and other data-related regulations are elevating data governance to a strategic asset for organizations in all sectors. Data governance can no longer remain confined to a back-end IT operation. As the data-rich financial services sector is now moving fast towards more profound digitization of financial

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