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Data, IA et transformation numérique pour l'Industrie du Futur. Fini de jouer ! Sans une approche industrielle c'est "No future" ! Les diamants sont éternels… KHEPRI, divinité mythologique de l’Égypte ancienne symbolisant la renaissance matinale du soleil, aurait inspiré le logo d’une marque automobile centenaire, véhicule de fonction culte d’un célèbre agent
Often, when a cybersecurity incident occurs, the clues to how it happened and who caused it are hidden in network data. In the example discussed here, data scientists were asked to identify who caused a global internet outage by examining a large graph of network data with data visualization. This
Hace un año, por esta época, empezábamos a hacer balances y a proyectar lo que sería el 2020. Nadie podía llegar a imaginar lo que viviríamos, las situaciones que tendríamos que afrontar y los cambios que nos aguardarían. Incluso, poder predecir con el poder de la analítica, nuestra especialidad, ha
비정형 텍스트 데이터는 인류가 생성하는 가장 큰 데이터입니다. 더 나은 비즈니스 결정을 내리고, 제품 전략을 알리고, 고객 경험 개선에 도움이 되는 유용한 정보가 바로 이 데이터에 포함되어 있습니다. 비정형 텍스트 데이터의 잠재력을 최대한 활용해야 하는 이유입니다. 본 시리즈에서는 텍스트 데이터에서 인사이트를 얻는 주요 방법과 이를 위한 SAS 솔루션을 살펴봅니다. 전
We've turned some of our most notable predictions for next year into a slide show. Click the orange "next" button to see these 2021 predictions from SAS. Who’s brave enough to make predictions for next year after the unpredictable year we just had? We are. After all, the disruptive
Some people hear the words computer science and only think of coding but ask any computer scientist and they would tell you that coding is just a tool to solve important and interesting problems. At its core, computer science is about using technology to solve complex problems in the world,
A SAS customer asked a great question: "I have parameter estimates for a logistic regression model that I computed by using multiple imputations. How do I use these parameter estimates to score new observations and to visualize the model? PROC LOGISTIC can do the computation I want, but how do
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. As discussed in previous posts, statistics and visual representations of data can be misleading. But what happens when the data itself is misleading? And if data is
A note from Udo Sglavo: A wealth of connectivity is pervasive in the data we gather across many industries. In other words, networks are all around us. A data science trend you cannot ignore is to organize, learn from, and drive decision-making based on connected data. Network analytics engines provide efficient
I believe the most important part of the analytics lifecycle is defining the business question being asked.
Most games of skill are transitive. If Player A wins against Player B and Player B wins against Player C, then you expect Player A to win against Player C, should they play. Because of this, you can rank the players: A > B > C Interestingly, not all games
How banks and government could work together to solve the UK’s burgeoning debt crisis
Recientemente, fueron publicados los resultados del Informe sobre el Futuro de los Empleos del Foro Económico Mundial, el cual no solo traza el mapa de lo que serán los empleos y las habilidades del futuro, sino que tiene en consideración el impacto que producirá en la forma de trabajar en la
On Friday Nov 27, 2:00pm GMT (9:00am EST in the US), Robert Fildes is presenting his latest research in the webinar "What do we need to know about Forecast Value Added?" This is part of the Lancaster University Centre for Marketing Analytics and Forecasting's "CMAF Friday Forecasting Talks." Here is
In football, five out of the 11 players on offense are on the field to accomplish one goal: keep the defenders as far away from the ball as possible. Sometimes it’s more than five. Teams will bring extra linemen on short-play packages. Tight ends and full backs might check in