Tomar decisões rápidas, consistentes e baseadas em insights a partir dos dados é essencial para o sucesso de qualquer organização. É nesse contexto que o SAS Intelligent Decisioning se destaca, oferecendo às empresas uma plataforma poderosa para criar e gerenciar fluxos de decisão de forma ágil e integrada. Nesse artigo,
You’ve collected your data, organized it, and created a model to help you understand what you’re working with. Now what? For many organizations, the next step isn’t so clear. Only 50% of models ever make it to production, which means many aren’t even realizing the value of their investment. One
Synthetic data generation has intrigued across industries for its many use cases, including fraud detection, clinical trials, worker safety and law enforcement. One of the main benefits is the low cost of creating synthetic data, which is often cheaper than collecting actual demographic, psychographic or behavior-based information. With such data,
The ability of an organization to make informed decisions swiftly and accurately is crucial. Organizations across various industries rely heavily on advanced technologies to navigate complex data and enhance customer experiences. Decision trees and large language models (LLMs) are two technologies that play pivotal roles in empowering organizations to make
1. ‘SAS 컨테이너 런타임’이란? SAS는 SAS Viya 2021.1.1.3에서 SAS 컨테이너 런타임(SAS Container Runtime, 이하 SCR)을 출시했으며, 그 이후 많은 고객이 운영환경에서 SCR을 구현했습니다. 이 혁신적인 런타임 엔진은 SAS 모델과 의사결정을 Open Container Initiative (OCI) 호환 컨테이너에 배포하는 역할을 합니다. SCR은 표준 기술을 사용하여 SAS Viya 외부에서 모델과 의사결정을 실행합니다. 클라우드
The holiday season has arrived, culminating in celebrations across various cultures. It will be a time of creating a memorable feast that brings family and friends together at the dinner table. No matter what you’re celebrating this holiday season, food will be a part of the equation, including a complex
Atraer, añadir valor o retener clientes no es tarea fácil. Especialmente en un contexto cada vez más competitivo, donde los consumidores que, generalmente apuestan por sus marcas de confianza pero que están abiertos a nuevas opciones, disponen de amplias ofertas atractivas a golpe de click. Recomendar ofertas de valor de forma
If you are thinking that nobody in their right mind would implement a Calculator API Service with a machine learning model, then yes, you’re probably right. But considering curiosity is in my DNA, it sometimes works this way and machine learning is fun. I have challenged myself to do it,
Que alce la mano el líder, la empresa o la organización que no esté presionado en estos momentos por reducir sus gastos y costos de operación. Hemos hablado en varias oportunidades del impacto y el alcance que tiene la alianza establecida por SAS y Microsoft para llevar la analítica a
See how intelligent decisioning and machine learning from SAS and Microsoft help a fictitious banking customer simplify and reduce risk in its home loan portfolio.
Having the ability to know what the best decision is in any given scenario sounds like a superpower. What may surprise you is that this “superpower” already exists. SAS calls it intelligent decisioning. Decisioning is a powerful tool in the business world. It is useful to both the company and
Most of us know about electric vehicles (EVs), and the fact that they charge when connected to the grid. However, the technology is moving on. Instead of simply drawing from the grid, some EVs now have the capacity to feed energy to the grid from their batteries. This is known
Nowadays, recommendation engines can be found just about everywhere from news websites to e-commerce sites to online streaming services. However, customers frequently encounter recommendations that are inappropriate or repetitive.
Everyone is talking about artificial intelligence (AI) and how it affects our lives -- there are even AI toothbrushes! But how do businesses use AI to help them compete in the market? According to Gartner research, only half of all AI projects are deployed and 90% take more than three
Intelligence means learning from what has happened and using that to improve future choices.
How to address insurers' challenges by providing AI and machine learning to streamline a customer centric pricing process.
The “last mile” is well known in telecommunications and supply chains. Now we face it in the analytical world as well. Read why!
SAS study (i.p. w. Harvard Business Review, Accenture, Intel) to learn more about how companies are enhancing their business.
You can now easily embed a python script in a SAS decision with SAS Intelligent Decisioning. If you want to execute in MAS, you do not need to wrap it in DS2 anymore. The python code node does it for you. Here is how you can achieve it in less than 5 minutes.
SAS Intelligent Decisioning enables users to create, test, control versioning and trace analytically driven decisions all in one solution.
Building a predictive model is generally not the end of the project. Indeed, there is a major difference between building a model and actually getting it ready for people to use in their products and services. Even if the purpose of the model is to increase knowledge of the data,
Technology is transforming our lives. It's revolutionising the way we buy groceries, send gifts, listen to our favourite music, communicate with loved ones, and much more. Because it's so convenient and ubiquitous, we expect ultra-fast and highly personalised services from all the companies we engage with. As a result, businesses
Can you still hear it? The "D" word. For years it has been haunting conference keynotes and through clever and less clever books. The Axel Springer Group has made it. The German automobile manufacturers have not yet but are catching up. My CD player at home didn't survive – even
Os novos paradigmas resultantes da introdução de novas tecnologias e da alteração de comportamentos e hábitos de consumo, resultam em forças esmagadoras que pressionam as indústrias a alterações substanciais na forma como trabalham e interagem com os seus clientes. A área dos Seguros não é exceção e movimentos de consolidação
How intelligent decisioning solutions can help you stay relevant in the era of digital banking Fierce competition, advances in technology, and consumer expectations for hyperpersonalised services are forcing the financial services sector to evolve. To adapt to rapid market developments, many banks and insurers are launching ambitious digital transformation projects.
La industria de comercio electrónico es probablemente una de las más dinámicas en términos de innovación tecnológica: cada vez que los usuarios interactúan con las aplicaciones y páginas web de las empresas, toda la información es continuamente capturada y representa la materia prima para que científicos de datos conviertan hábitos
