It’s safe to say that SAS Global Forum is a conference designed for users, by users. As your conference chair, I am excited by this year’s top-notch user sessions. More than 150 sessions are available, many by SAS users just like you. Wherever you work or whatever you do, you’ll
Tag: machine-learning
Luego de otro largo lapso, termino publicando el siguiente artículo de la serie ¡Explícate!. En este veremos cómo la teoría de juegos nos da una mano para interpretar mejor nuestros modelos de machine learning, utilizando las ideas del premio nobel de economía Lloyd Shapley. Entenderemos los conceptos detrás de
Dutch project aims to increase safety of gall bladder surgery Predictive models and medical image analysis have the potential to transform health care delivery today. To accelerate the innovative approaches, teams around the world are converging in a global hackathon as organized by SAS to advance the field of health
The recently released 2021 Gartner MQ for Data Science and Machine Learning contains a wealth of information and here are my takes on key market trends from that report for data scientists. This evaluation features SAS Viya with its SAS Data Science offerings.
The people, the energy, the quality of the content, the demos, the networking opportunities…whew, all of these things combine to make SAS Global Forum great every year. And that is no exception this year. Preparations are in full swing for an unforgettable conference. I hope you’ve seen the notifications that
¿Qué importancia tiene considerar la diversidad y la inclusión cuando lanzamos una iniciativa de Analítica? Es decir, ¿qué tan importante es la diversidad y la inclusión para la sociedad? Los estatutos de derechos humanos establecen que: "Todos los individuos son iguales ante la ley y tienen derecho a la misma
Safety, efficacy, speed and costs must all be prioritized and balanced in the delivery of life-changing therapies to patients. A drug that's quickly and cost-efficiently delivered to market, but isn’t effective and safe is unacceptable. An effective, safe drug that doesn’t get to patients in time to save lives has
What if you had a technology solution that creates a real-time link between the customer demand signal and what's happening on the ground? What if plans that are being steered centrally could finally be connected to every shipping lane, while simultaneously, creating cost saving carrier adjustments? The first-of-its kind integration
On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020. The most popular articles often deal
CTOからのあなたへの招待状 ~リアルワールドのためのグローバルデータサイエンス・ハッカソンイベントを開催~ 世界中のどこかにいる有志のあなたへ 従来からSASをご愛顧頂いている皆様、そして、これから新たに出会う皆様、こちらはSAS Instituteでございます。今回は、非常にInspired+Greatなニュースをお届けさせていただきます。 それは、SASがグローバルでHackinSASというデータサイエンス・ハッカソンイベントを開催するということです! 今回のイベントでは、グローバルで参加者を募集しています。もちろん、従来のSASユーザのみならず、開発者やオープンソースユーザ、学生の方々、Startup企業の方々、またはテクニカルパートナーの方々、誰でも参加可能なイベントです。また、今回イベントの主旨としては、皆様の周りにあるデータを用いて、そのデータから有用な情報を得て、リアルワールドのビジネス課題・社会問題を解決するためのソリューションや、よりクリエイティブなデータの使い道を発見することを目指しています。詳細は後述するイベント詳細情報をご参照ください。 SASは長年、データから有用な情報を得て、その情報をリアルワールドの社会問題・環境問題、そしてビジネス課題解決に貢献できる製品やソリューション、そしてサービスを開発し、そのナレッジを貯蓄してきました。また、たくさんのユーザの方々との関わり合いの中で得られた情報などもとても有益なものでした。ハッカソンイベントはまさに、そのような様々なナレッジや発想を持っている皆様に切磋琢磨できる舞台を提供しています。 まずSASのエグゼクティブ・バイス・プレジデント兼最高執行責任者兼最高技術責任者のOliver Schabenbergerからのメッセージをご覧ください。 クリック! では、イベント詳細情報は下記となります。 1.開催スケジュール ハッカソン全期間スケジュール 2020年12月17日-2021年2月15日 チームとテーマの登録期間。 この期間中に、あなたのチームを結成しましょう。そして、課題を定義し、サマリをご提出ください。 2021年1月―2月 リソース確保期間。 この期間中に、ハッカソンをするための無料イネーブルメントリソースを活用して、優位に立ちましょう。 2021年3月 ハッカソン正式開始期間。 この期間中に、あなたとチームメンバーの創造性を輝かせる時がきます。データとSASを使って課題を解決しましょう。 2021年4月 最終ラウンド期間。 最終ラウンドに参加できるチームが選定され、SAS Vector Labsチーム(SAS Innovation Hub)に紹介され、更なる課題解決のためのアプリケーション開発を行うことが可能です。 Virtual SAS® Global Forum 2021(2021年春に開催予定) 2021年のSAS Global Forumで優勝者の結果が公開されます! 事前ライブキックオフミーティング 2021年1月13日13:00 – 14:00オンラインで開催 開催概要: SASのエグゼクティブ・バイス・プレジデント兼最高執行責任者兼最高技術責任者のOliver Schabenbergerが、この他に類を見ないグローバルハッカソンとは何か、そしてビジネスの課題解決や社会貢献のためにアナリティクス、AI、オープンソースをどのように創造的な方法で活用できるのかについてお話します。 ハッカソンズ・インターナショナルのCEOであるAngela Bee ChanとSASのプロダクト・マーケティング・マネージャーであるMarinela Profiの魅力的な対談が行われます。彼らはこのハッカソンの中でできるコラボレーションと、HackinSASが単なる競争以上の価値あるものであるかをお話します。
2020 ha sido bastante sui géneris. Los planes y metas que las organizaciones se plantearon el año previo tuvieron que replantearse o sustituirse debido a los estragos provocados por la pandemia de COVID-19. Y 2021 no será distinto. La diferencia es que hoy se está consciente de que nada puede
Find out the most popular SAS Users YouTube channel how to tutorials, and learn a thing or two!
El retorno de la inversión (ROI) es el parámetro por excelencia para dimensionar la efectividad de los proyectos de TI. Conocer el tiempo en que dicha inversión se recuperará y comenzará a brindar los beneficios planeados a la organización ha sido el termómetro para medir el éxito y el punto
This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should
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
Conversational AI can offer a way to provide that always-on 24/7, fast, convenient experience that can go anywhere (phone, computer smart speakers, even your car). It can provide a human-like experience through real-time, personalized interaction with AI running in the background. This technology is being applied across many industries for a variety of use cases (both customer-facing and for internal use).
An analyst report offers an unbiased, side-by-side, third-party evaluation of the technology in the market. These analysts know how to put the vendors through the paces and require proof of any claims that are made.
Discovery is an important part of setting up your analysis for success – essentially it prevents you from plunging into a haystack to try to find that elusive needle, and rather, helps you organize the haystack into neater, compact organized bales that you can navigate with ease. Proper discovery can help you more efficiently find patterns in your data set.
A evolução do analytics e da ciência de dados gera constantes atualizações e transformações nas plataformas de análises. Este artigo tem o propósito de apresentar como o SAS tem acompanhado essa evolução. Ambiente Integrado: uma única plataforma, diversas tarefas O SAS oferece recursos que permitem acessar, explorar, transformar, analisar e
La ciencia de datos nos está ayudando a entender y, sobre todo, a proponer soluciones viables para los problemas más complejos que como sociedad e industria enfrentamos actualmente. Sin importar el perfil o sector de las organizaciones, las áreas de TI han encontrado en la ciencia de datos una alternativa
The Text Investigation Framework is a flexible solution for addressing text challenges across several domains. It was designed to create a process for turning unstructured text data into a decisioning system.
We will combine three separate SAS Viya capabilities to create an application that can manage multiple models, interpret model outputs, and replace the production model if necessary
Everyone knows that SAS has been helping programmers and coders build complex machine learning models and solve complex business problems for many years, but did you know that you can also now build machines learning models without a single line of code using SAS Viya? SAS has been helping programmers
Os algoritmos de mineração de dados podem ser divididos em 4 grupos, a saber: aprendizado supervisionado, aprendizado não-supervisionado, aprendizado semissupervisionado e aprendizado por reforço. Embora os dois primeiros sejam vastamente conhecidos e implementados, os dois últimos não possuem a mesma popularidade. Mas, como veremos a seguir, isso não se deve
The Text Investigation Framework utilizes several technologies built on SAS Viya, including SAS Visual Text Analytics, SAS Visual Data Mining and Machine Learning, and SAS Visual Investigator. SAS Visual Investigator acts as the orchestrator to surface the results. With its broad set of capabilities, SAS Visual Investigator can perform scenario authoring, alert generation and disposition, and comprehensive workflow to gather vital outcomes and feedback.
Unlocking the potential of your unstructured text data can lead to great business outcomes but the prospect of starting a new or enhancing your existing Natural Language Processing (NLP) program can feel overwhelming because of the inherently unique (and sometimes messy) nature of human language. Text data doesn’t fit neatly into rows or columns the way that structured data does, which can make it seem more complex to work with. Conversations and written language range from objective statements to subjective perspectives and opinions. The same sentence, depending on its intent and the nuances in how it's said, can have a positive, negative, or neutral sentiment. To get us started, we'll share different types of NLP models used to analyze unstructured data with a focus on the hybrid approach.
En el mundo de negocios actual, las empresas necesitan operar con gran agilidad, innovar y ser resilientes, así como contar con un entorno de TI capaz de adecuarse a las demandas del mercado y del propio crecimiento del negocio. Dicha capacidad de respuesta puede verse un tanto frenada si una
Decision trees are a fundamental machine learning technique that every data scientist should know. Luckily, the construction and implementation of decision trees in SAS is straightforward and easy to produce. There are simply three sections to review for the development of decision trees: Data Tree development Model evaluation Data The
Analytics is playing an increasingly strategic role in the ongoing digital transformation of organizations today. However, to succeed and scale your digital transformation efforts, it is critical to enable analytics skills at all tiers of your organization. In a recent blog post covering 4 principles of analytics you cannot ignore,
What is automated prediction? Automated prediction, in less than a minute, runs several analytic models (such as decision trees, gradient boosting, and logistic and linear regression) on a specific variable of your choice. Most of the remaining variables in your dataset are automatically analyzed as factors that might influence your specified variable. They are called underlying factors. SAS then chooses the one model (champion model) that most accurately predicts your target variable. The model prediction and the underlying factors are then displayed. You can adjust the values of the underlying factors to determine how the model prediction changes with each adjustment.