“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
Los gurús del mundo corporativo no dejan de repetir un veredicto: en los mercados digitales de nuestros días, quien analice los datos de su consumidor y de su entorno de negocios estará en posición de alcanzar el éxito. Creer en el planteamiento es fácil. Como lo han señalado algunos estudios,
In the second post of the 10 Commandments of Applied Econometrics series we discussed the issue of embedding statistical tools in the context of business problems. Today, I will present another commandment related to exploration and inspecting the data.
Ein großer Teil unseres Lebens besteht darin, möglichst intelligente Entscheidungen zu treffen. Eine echte Herausforderung angesichts der Fülle an Informationen und Daten, der wir heute ausgesetzt sind. Im Geschäftskontext heißt das: Nur wenn evidenzbasierte Entscheidungsprozesse tief in der Unternehmenskultur (unabhängig von Typ und Menge der Daten) verankert werden, lässt sich
Ich sitze im Büro und fingere durch den Papierberg aus meinem Postfach. Während ich ein Briefchen nach dem anderen ungelesen in den Mülleimer werfe, wundere ich mich, dass es so etwas wie Postfächer in einem Unternehmen, das Analyticssoftware herstellt, überhaupt noch gibt. Warum ist das so, frage ich mich belustigt.
When I first wrote this blog post in early May 2017, it was to ask SAS users holding SAS “Big Data” certifications to participate in the CertMag Salary Survey Plus Big Data Edition. The response was overwhelming and thanks to all of you that participated. Now that the results are in, I wanted
For many years the humble spreadsheet has held many different roles and responsibilities supporting finance, marketing, sales -- pretty much every department in your business. There's always someone with a “magic spreadsheet,” but how effective is this culture that always uses the same format to consume data? My view of
Machine learning seems to be the new hot topic these days. Everybody's talking about how machines are beating human players in chess, Jeopardy, and now even Go. In the future, artificial intelligence will drive our cars and our jobs will be taken over by robots. There’s a lot of hype,
The SAS Data Scientist Credential SAS Data Science Academy brings in a complete set of certifications which enables somebody to be qualified as “Data Scientist”. There is full training support , blended mode of learning , case studies, projects and practice exams by the academy. By successfully passing certification exams,
‘이미지 인식(Image recognition)’, 머신러닝과 인공지능(AI)을 포함한 기술 산업 전반을 뜨겁게 달구고 있는 주요 이슈입니다. 특히 컴퓨터 비전, 즉 영상 처리 기술은 무인 자동차, 얼굴 인식, 의료 결과 예측 등 수많은 혁신 기술들을 현실화하는 핵심 요소인데요. 그 가운데 크고 작은 많은 기업들은 이미지 인식과 관련된 다양한 기반 기술과 프로세스의 가능성을 실현하기 위해
SAS Data Connector to Oracle lets you easily load data from your Oracle DB into SAS Viya for advanced analytics. SAS/ACCESS Interface to Oracle (on SAS Viya) provides the required SAS Data Connector to Oracle, that should be deployed to your CAS environment. Once the below described configuration steps for
„Wer 100% sicher sein will, ist 100% zu spät.“ Diesen Satz habe ich letztens auf dem IoT Forum in München gehört. Er fasst gut das Gefühl zusammen, dass mich in der deutschsprachigen Industrie 4.0 Debatte beschleicht. Die Buzz-Word-Schlachten der letzten 48 Monate haben ihre Wirkung nicht verfehlt: Kaum ein Strategiepapier
In addition to his day job as Chief Technology Officer at SAS, Oliver Schabenberger is a committed lifelong learner. During his opening remarks for the SAS Technology Connection at SAS Global Forum 2017, Schabenberger confessed to having a persistent nervous curiosity, and insisted that he’s “learning every day.” And, he
As Tax Week arrives, tax agencies may be overlooking fraud happening under their noses – fraud perpetrated by insider threats. While the agencies are focused on the hot fraud topics of the day – identity verification quizzing, protecting PIN files, and cybersecurity – insider threats pose a particularly insidious risk.
Los datos no conocen fronteras. Este concepto enmarcó la edición número 42 del SAS Global Forum, el evento de analítica más grande del mundo que atrajo a más de 30.000 asistentes presenciales y virtuales. Durante cuatro días, profesionales de negocio y amantes de la tecnología, tuvimos la oportunidad de intercambiar
David Loshin explains why MDM is such a valuable tool in helping to detect fraud.
