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Tradicionalmente, cuando hablábamos de tecnología y comparábamos sus posibilidades con las de los seres humanos nos encontrábamos con una barrera: su capacidad de creación. Pero este aspecto ya ha empezado a cambiar. La Inteligencia Artificial, a través de modelos computacionales de redes neuronales, permite ya generar textos, imágenes o temas
My SAS is a brand-new customer experience page. This new location takes a variety of customer service places and puts them in one interface. The goal of My SAS is to ensure all SAS customers have the best possible experience available in the marketplace.
지난 텍스트 분석 시리즈 1편에서는 텍스트 토픽을 분류하여 빠르게 인사이트를 확보하는 방법을 소개해드렸습니다. 이번에는 텍스트 데이터를 기반으로 고객의 행동을 예측하고, 예측 모델링의 성능을 개선하는 방법을 알아보겠습니다. 이 작업에는 SAS의 머신러닝 솔루션인 SAS Visual Data Mining & Machine Learning(VDMML)이 유용합니다. 지금 이 시간에도 수많은 데이터 분석가들은 모델이 높은 성능을 발휘하도록 다양한
‘Twas the night before Christmas, when all through the house; Not a creature was stirring, not even a mouse. The children were nestled all snug in their beds; While visions of persimmons danced in their heads! Known as the forgotten winter fruit, persimmons hang from their trees like bright
One purpose of principal component analysis (PCA) is to reduce the number of important variables in a data analysis. Thus, PCA is known as a dimension-reduction algorithm. I have written about four simple rules for deciding how many principal components (PCs) to keep. There are other methods for deciding how
En algún momento, la inteligencia artificial (IA) y el machine learning (ML) parecían algo complicado y costoso para las empresas. Hoy, su efectividad y ubicuidad les ha abierto la puerta para incorporarlos a distintas actividades productivas. Ya no se cuestiona su relevancia. Actualmente, las organizaciones están conscientes de que el
Companies have been talking about disruption for years. The word appears in every other top-level business meeting – yet the revolution hasn’t happened. Many businesses have little to show for it. In truth, disruption needs more than enthusiasm. Without a strategy, organisations have simply transformed long, complicated paper processes into
November 26th and 27th most of us had time off. How was that time for you? I hope it was good - within pandemic-adjusted terms. If it felt in anyway less satisfying, fulfilling, relaxing...or it just felt...different...here are some things to consider. We are in a pandemic. This cannot be
Passionate about helping SAS customers, Sandy Gibbs of Technical Support sheds light on the SASHFADD tool report. This is the second of three posts on our hot-fix process.
COVID-19 has upset nearly every prediction and business plan for 2020 across the planet. Making predictions for 2021 may seem like a fool’s errand at this point, but many trends and consequences are already obvious and emerging from the global pandemic. The last global pandemic of this magnitude, the Spanish
In my previous blog post, I talked about using PROC CAS to accomplish various data preparation tasks. Since then, my colleague Todd Braswell and I worked through some interesting challenges implementing an Extract, Transform, Load (ETL) process that continuously updates data in CAS. (Todd is really the brains behind getting
When news about a new Coronavirus outbreak in China first hit the news, Falko and his colleague Anand Chitale wanted to know more. “We knew we could use SAS to analyze the data and discover new insights,” he said. By now, you’ve heard about our work helping customers combat the coronavirus pandemic.
"O Christmas tree, O Christmas tree, how lovely are your branches!" The idealized image of a Christmas tree is a perfectly straight conical tree with lush branches and no bare spots. Although this ideal exists only on Christmas cards, forest researchers are always trying to develop trees that approach the
Recent money-laundering scandals have shaken public trust in the banking sector. How can banks rethink their approach to AML? The BBC’s recent Panorama documentary, “Banking Secrets of the Rich and Powerful,” is an uncomfortable watch for anyone working in the banking sector. While all banks have anti-money laundering (AML) teams
All analytics projects have data as their foundation and this data is usually spread across a variety of databases, storage systems and locations. This diverse and complex landscape causes data scientists to spend an inordinate amount of time searching for the right data and preparing this information for analytics. It’s