Have you ever played the lottery? Have you ever heard people bragging about all the money they've won? Does it make you want to play? ... We've had an Education Lottery here in North Carolina for over 10 years, but I still didn't really know much about it - therefore I
금융소비자보호국, 불공정 행위로부터 소비자 보호 버락 오바마 미국 전 대통령은 2008년 글로벌 금융 위기 이후 소비자 보호를 강화하고, 금융 업계를 규제함으로써 사태 재발을 막기 위해 다양한 노력을 기울였습니다. 그 중 하나가 바로 2011년 월스트리트에 대한 연방 감독 기구로 출범한 미국 금융소비자보호국(CFPB; Consumer Financial Protection Bureau)인데요. 금융소비자보호국은 소비자를 불공정 행위, 사기, 권력
Welche Veränderungen bringt 2018 im Datenmanagement? Ich habe Experten nach ihrer Meinung zu den Technologietrends 2018 gefragt und sie mit meinen eigenen Erwartungen verglichen. Herauskristallisiert haben sich fünf große Trends, die uns meiner Ansicht nach dieses Jahr im Datenmanagement begleiten: 1. Datenbewegung wird wichtiger Cloud-Anbieter haben bereits gezeigt, wie einfach es
데이터 분석으로 청소년 자살을 예방할 수 있을까요? 캐나다 통계청에 따르면, 2011년 25세 미만의 캐나다인 사망자 중 5분의 1은 자살로 생을 마감했습니다. 자살은 캐나다 청년층의 두 번째 사망 원인으로 매우 심각한 사회 문제인데요. 특히 캐나다정신건강협회(Canadian Mental Health Association)에 의하면 15-24세의 자살 사망률은 선진국 가운데 세 번째로 높은 24%에 달합니다. 이러한 청년층 자살을
At a time of unprecedented financial challenges – from payment shifts and regulatory mandates to aging populations – our nation’s hospitals are awash in data. Clearly, there is a need for analytics capabilities to make health care more efficient, cost-effective and satisfying to patients and providers alike. In the October
최근 영국 유력지 파이낸셜타임스(FT)는 미국 음료 업체인 ‘롱 아일랜드 아이스 티(Long Island Iced Tea Corp)’가 자사의 이름을 ‘롱 블록체인(Long Blockchain)’으로 바꾸겠다고 발표하자 주가가 하루 만에 500% 급등했다고 보도했습니다. 비트코인을 필두로 시작된 블록체인 열풍은 가상화폐 시장을 넘어 전체 산업과 기업에 영향을 미치고 있는데요. 이러한 현상을 두고 블룸버그는 20년 전 모든 기업이 저마다 인터넷
Me gustaría que se situara algunos años atrás, cuando cursaba algún grado de primaria, su madre seguramente trataba de que llegara con bien a la escuela y que no perdiera las prendas, en especial el suéter que traía bordado su nombre, estoy completamente segura de que en alguna ocasión lo llegó
If you're preparing a big Thanksgiving dinner, then you don't want to leave out the most popular side dish, do you?!? But what is the most popular side dish? ... If you don't already know, then perhaps some data & analytics can help! But before we get started, here's a
It's easier said than done to be a data-driven business, but the squeeze is worth the juice.
Es claro que este año que está por finalizar ha traído grandes cambios para todo el mundo en cuanto a transformación digital se trata, se estructuraron cambios en las industrias, la economía e incluso las formas de comunicación con sus clientes. Pero la tecnología no se detiene y cada día
Es claro que este año que está por finalizar ha traído grandes cambios para todo el mundo en cuanto a transformación digital se trata, se estructuraron cambios en las industrias, la economía e incluso las formas de comunicación con sus clientes. Pero la tecnología no se detiene y cada día que pasa
Nearly two years ago, we launched the Bright Data blog platform to serve the Central East Europe region of SAS. It was designed to enable us to discuss and share ideas with customers in the region, around issues such as analytics, customer intelligence, risk and data management. And, indeed, Bright
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
What’s new and what’s on the horizon for machine learning and analytics? We asked Kirk Borne, Principal Data Scientist and Executive Advisor at Booz Allen Hamilton, what machine learning technologies he’s watching. He focused his reply on applications, not algorithms. “When I think about what’s new and coming up, I
I have been working in the field of Professional Certification and Licensure for roughly 10 years. In that time, I've worked with and observed close to 40 IT certification programs and there has been a recurring question I've encountered at each stop. While it is often phrased differently, it means mostly the same
“어떤 알고리즘을 사용해야 할까요?” 수많은 종류의 머신러닝 알고리즘을 맞닥뜨린 초급자 분들이 가장 많이 물어보는 전형적인 질문인데요. 사실 이 질문에 대한 답변은 하단 내용을 비롯한 수많은 요인에 따라 달라집니다. 데이터의 크기, 품질, 특성 가용 연산(계산) 시간 작업의 긴급성 데이터를 이용해 하고 싶은 것 그렇기에 숙련된 데이터 과학자(Data scientist)조차도 여러 알고리즘을 직접
When it comes to economic activity, a handful of the largest metropolitan areas in the US account for lion's share. In 2013, the top 23 Metropolitan Statistical Areas (MSAs) accounted for 50% of the total US Gross Domestic Product (GDP). I recently came across a map created by Alexandr Trubetskoy
“Es una apuesta de la compañía”. Con esta frase, muchas empresas de la industria de bienes de consumo (CPG, por sus siglas en inglés) describen su decisión de introducir un nuevo producto al mercado. En el enunciado, la referencia al juego no es gratuita. En este sector, lanzar una novedad,
Everyone is talking about artificial intelligence (AI). In fact, many SAS customers who've been using our analytics capabilities for years or even decades are asking: What can we do with AI? What exactly is AI from a software perspective? How can we infuse cognitive computing into our customer interactions and on the customer
Die (technologische) Veränderung kommt… und sie kommt schnell. Digitalisierung ist nicht mehr nur „in aller Munde“, sondern inzwischen in den Unternehmen angekommen. Das zeigte das SAS Forum Deutschland 2017, das am 29. Juni im World Conference Center in Bonn stattfand und das rund 1.200 Teilnehmer besuchten und etwa ebenso viele
One of the big benefits of SAS Viya is how approachable it is for programmers of other languages. You don't have to learn SAS in order to become productive quickly. We've seen a lot of interest from people who code in Python, maybe because that language has become known for
To demonstrate the power of text mining and the insights it can uncover, I used SAS Text Mining technologies to extract the underlying key topics of the children's classic Alice in Wonderland. I want to show you what Alice in Wonderland can tell us about both human intelligence and artificial
Big Data y la economía digital son transversales a prácticamente cualquier actividad en la vida, desde una acción profesional que involucre un equipo de trabajo hasta ámbitos de la vida privada como el estado de salud, los movimientos financieros y las relaciones de pareja. No existen límites para la constante
Following the UK General Election result where no political party secured a clear majority ahead of the Brexit negotiations, it’s fair to say there’s lots of uncertainty facing the UK government right now. This, and the more outward looking post-Brexit era we're facing, are just two reasons why I believe
Innovation used to happen in structured cycles. The new invention was often a planned event and the domain of a select few departments within an organisation. But in today's always-on economy enterprises need to innovate on a continuous basis to keep up with new players that base their entire businesses
La digital transformation spazza come un vento tutti i settori industriali e promette di essere un motore per la competitività, la produttività e l’occupazione. Investire sul miglioramento delle competenze e il rafforzamento dei profili professionali è il punto di partenza per attuare la trasformazione di cui tanto si parla. Partendo
Thanks to 100 dedicated volunteers who spent their entire weekend digging into data at North Carolina’s first-ever DataDive: The Anti-Defamation League was able to cite the new approaches it was taking to analyzing hate crime data when its CEO testified before the US Senate in early May. Counter Tools, a
Ensemble methods are commonly used to boost predictive accuracy by combining the predictions of multiple machine learning models. The traditional wisdom has been to combine so-called “weak” learners. However, a more modern approach is to create an ensemble of a well-chosen collection of strong yet diverse models. Building powerful ensemble models
Are you caught up in the machine learning forecasting frenzy? Is it reality or more hype? There's been a lot of hype about using machine learning for forecasting. And rightfully so, given the advancements in data collection, storage, and processing along with technology improvements, such as super computers and more powerful
