Healthcare fraud is alive and well. Honesty is dead and gone. There, I’ve said it. What else are we to take from surveys that find that 27% of people would sell their work passwords...44% of them for less than $1,000?* What does it mean that 37% of survey respondents think
보험 업계는 변화에 느리다는 평을 받는 보수적인 산업이지만 지난 5년간 엄청난 변화와 혁신을 경험하고 있습니다. 보험사들은 고객과 유통 관계에서 혁신을 모색하며 디지털 이니셔티브에 많은 투자를 하고 있는데요. 이와 함께 데이터 분석, 인공지능 등의 정보기술(IT)을 활용해 기존 보험 산업을 혁신하는 인슈어테크(insurtech)가 디지털 기회를 활용할 수 있는 보험 업계의 새로운 분야로 떠오르고
I've collected accelerometer data with a third-party app. I've used some SAS tricks to import all of my data readings in a single step. Now I'm ready to create a report of these data in SAS Visual Analytics.
There are four widely recognized styles of machine learning: supervised, unsupervised, semi-supervised and reinforcement learning. These styles have been discussed in great depth in the literature and are included in most introductory lectures on machine learning algorithms. As a recap, the table below summarizes these styles. For a comprehensive mapping
필자는 데이터 전문가와 엔터프라이즈 시스템 컨설턴트로서 오랜 경력을 쌓아왔으며, 저자와 대학 교수로서 교육 활동도 진행하고 있습니다. 그 동안 200여 개의 개인, 50개 이상의 그룹을 위한 데이터 분석 프로젝트를 감독하면서 수많은 분석 프랙티스를 연구해왔는데요. 중요한 한 가지는 분석 프로젝트를 성공적으로 시작하기 위한 단 하나의 청사진은 존재하지 않는다는 것입니다. 하지만 다양한 성공 또는 실패
Deep learning (DL) is a subset of neural networks, which have been around since the 1960’s. Computing resources and the need for a lot of data during training were the crippling factor for neural networks. But with the growing availability of computing resources such as multi-core machines, graphics processing units
How to extract driving patterns by using smartphone sensors -- especially the accelerometer. With accelerometer readings in hand, you can use spectral analysis and other techniques to decompose events, and machine learning to match differentiate from patterns of risky drivers.
Before grabbing that streaming data so quickly, Joyce Norris-Montanari says you should ask a few questions.
If you're good at games like Wheel of Fortune, Scrabble, or Words with Friends, you've probably figured out that certain letters appear more often than others. But do you have a cool way to figure out which letters appear most & least frequently? How about using a computer to plot
The true test of when a technology has become mainstream is when it is being widely used across the whole business, from customer-facing functions to backroom work. Analytics has been customer-focused for some time, and has also been widely used for individual performance, for example, by sports teams. The advent
In machine learning, a feature is another word for an attribute or input, or an independent variable. What is feature engineering? Feature engineering is a process of preparing inputs for machine learning models. The goal of feature engineering is to to improve classification accuracy by considering the limitations of the
Did you know that 80 percent of an analytics life cycle is time spent on data preparation? For many SAS users and administrators, data preparation is what you live and breathe day in and day out. Your analysis is only as good as your data, and that's why we wanted
We hear a lot about how various industries are using data visualization and analytics. But what about the education industry? The institutional research office (IR) at universities is the center for data, reports and analytics and provides decision makers with information about the university. The IR teams are working on
Today's guest blog is the first of two on the topic of helping an older parent downsize and relocate. Jennie Alwood is the owner of Here2Home, a senior move management company in the Triangle area. What is a Senior Move Manager?
Part 6 of this series takes us to the first Dutch SAS partner, PW Consulting, where I talked with Technical Director Willem Boersma, Data Scientist Wouter Hordijk and Sales Manager Jeroen de Nooijer. Company overview PW Consulting was founded in 1988, one year after SAS Netherlands opened. For those who
If you are reading this, then you have likely already made the difficult decision to move a loved one to a long term care facility. Choosing a facility can be overwhelming, with a dizzying number of decisions to make along the way. Having worked with several families during this process,
This is, hands down, the question I am most frequently asked. Unfortunately, there is no simple answer. The response depends on a combination of factors including (but not limited to) the type of care required and the income and assets of the person in need of care.
Working in hospice I learned there was nothing I could say to erase a person’s pain, sadness, anger etc. I didn’t have that power and it would be irresponsible to think that I did. However, through education, I found that I could often ease the unnecessary additional suffering caused by misinformation and
Todd Wright summarizes several GDPR-related blog posts that cover topics ranging from what the GDPR means to how you can manage consent.
금융감독원에 따르면 2017년 상반기 적발된 보험 사기 금액은 전년 동기 대비 6.4% 증가한 3,703억원으로 역대 최고치를 기록했습니다. 또한 보험연구원은 2014년 기준 보험 사기로 인한 누수 금액이 무려 4조5,000억원에 달하는 것으로 발표했는데요. 특히 전문 브로커가 연루되는 등 사기 수법 또한 지능적, 조직적으로 진화함에 따라 보다 체계적인 조사 방식과 분석 시스템의 필요성이 높아지고
What is a random number generator? What are the random-number generators in SAS, and how can you use them to generate random numbers from probability distributions? In SAS 9.4M5, you can use the STREAMINIT function to select from eight random-number generators (RNGs), including five new RNGs. After choosing an RNG,
Are you in the early stages of your Internet of Things (IoT) strategy? According to new IoT research done by the Internet of Things Institute on behalf of SAS, you are not alone. There's been a lot of buzz in the market for several years around IoT and how it's
Money magazine (Jan/Feb 2018) contains an article about how much it costs to give birth in the US. The costs, which are based on insurance data, include prenatal care and hospital delivery but exclude infant care. The data are compiled for each state (including Washington, DC) and by type of
일본의 한 보험 회사가 올해부터 보험 계약 절차와 정보 조회 등 사무 작업의 90%를 인공지능(AI)으로 대체, 전사 업무 부담을 20% 가량 경감할 것으로 발표하며 이목을 모았습니다. 국내에서도 이처럼 보험과 IT 기술을 융합한 인슈어테크(Insure + Tech) 서비스가 속속들이 출시되며 보험 업계의 비즈니스 모델이 빠른 속도로 다각화되고 있는데요. 오늘은 보험 선진국으로 평가 받는 유럽의
US health care costs are the highest in the developed world, despite per-capita healthcare spending roughly double that of the others, but with outcomes worse-or-equal-to comparable countries. A 2014 Commonwealth Fund study ranked the United States 11th out of 11 major industrial nations in overall healthcare. An aging population is
Wo steht eigentlich die europäische Versicherungswirtschaft in puncto Advanced Analytics, KI und Automatisierung? Erleben wir, dass gerade auch in der Assekuranz traditionelle Verfahren der Datenanalyse mit dem Begriff „maschinelles Lernen" überklebt werden? Oder ist die Branche hier schon deutlich weiter? Sind beispielsweise echte Chatbots wirklich schon allgegenwärtig? Aktuelle Einblicke gibt
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
La oportunidad de participar en un foro exclusivo para el sector asegurador, lo mismo que el tema principal consideraba las tendencias técnicas relacionadas con la inteligencia del cliente con la facultad de inclusión de las acciones de éstos. Una semana después, mientras que abría una reunión con un cliente que
This is the first in a series of posts about machine learning concepts, where we'll cover everything from learning styles to new dimensions in machine learning research. What makes machine learning so successful? The answer lies in the core concept of machine learning: a machine can learn from examples and
The second part of this series takes us to Rotterdam, main port of Europe and the residence of Veneficus, a 10-year young and ambitious boutique analytics firm. They have already scored accolades in the Dutch FD Gazellen Award for fast growing companies. In addition, they also won a ‘Best Employer’
