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When it comes to presenting at events like SAS Innovate on Tour, it’s never just a one-way street. No matter how many countries I visit, how many times I click through my slides, or how often I speak to a room full of people who love technology, I always learn
AI is at its best when it is used to enhance productivity and improve the lives of those it affects. When used correctly, AI can also save lives. That’s the vision driving a new project at SAS, where applied AI models and cameras create a simulated work environment focused on
We often hear about cyberattacks, hackers, ransomware, and other nefarious deeds in the news, but not all data breaches are caused by third parties.
In a world rich in data, data enthusiasts and problem solvers can have greater success and innovate faster with flexibility in choice. To code or not to code. The answer aligns with the problem and the data talent working to solve it. What does innovation look like inside your organization?
SAS와 같은 글로벌 기업이 비즈니스를 할 때에는 글로벌 관점과 현지 관점의 균형을 맞추는 것이 중요합니다. 제품은 글로벌 시장 전반에 걸쳐 제공되어야 하고, 글로벌 경쟁력을 갖춰야 합니다. 반면, 고객과의 관계 구축은 현지 상황에 맞아야 합니다. 이는 적절한 현지 파트너와 협력을 통해서 강화할 수 있습니다. SAS코리아와 오랜 세월을 함께 동행해온 든든한 파트너,
As part of this year's IEEE Visual Analytics Science and Technology (VAST) Challenge, a group of SAS data scientists puit SAS Viya and related machine learning tools to the ultimate test - to identify individuals in a complex fishing network. Excitedly, the team received the Honorable Mention Award for Breadth of Investigation!
Foundation and domain models are transforming how businesses approach technology. These powerful tools are moving beyond the hype of GenAI, offering real solutions for a variety of tasks – whether generating text, creating visual content or even composing music. A new global survey of 1,600 organizations revealed critical insights into
Going forward, insurance will be based on data and AI – with a predict-and-prevent approach.
Il settore assicurativo vanta una lunga storia, che va dal Codice di Hammurabi (circa 1750 a.C.), passa per lo ius maritimum dell’antica Roma e arriva fino al Caffè di Edward Lloyd sulle rive del Tamigi (1688). Da notare che la compagnia assicurativa più longeva degli Stati Uniti (The Philadelphia Contributionship, 1752) fu
Die Versicherungsbranche blickt auf eine lange Geschichte zurück, die bis zum Codex Hammurapi um ca. 1750 v. Chr., dem römischen Seerecht und dem Lloyd's Coffee House an der Themse im Jahr 1688 zurückreicht. Das älteste Sachversicherungsunternehmen in den USA war die Philadelphia Contributionship, die 1752 von Benjamin Franklin gegründet wurde.
Forsikringsbranchen har en lang historie, der går tilbage til Hammurabis lov (ca. 1750 f.Kr.), romersk søfartslovgivning og Lloyd's kaffehus på Themsen (1688). Især blev det længstvarende ejendomsforsikringsselskab i USA (The Philadelphia Contributionship, 1752) oprettet af Benjamin Franklin. Det er fra denne grundlægger, vi kender udtrykket: "Et gram forebyggelse er mere
El sector de los seguros cuenta con una larga historia que se remonta al Código de Hammurabi (hacia 1750 a.C.), al derecho marítimo romano y a la cafetería Lloyd’s cerca del río Támesis (1688). Cabe destacar que la compañía de seguros patrimoniales más longeva de Estados Unidos (The Philadelphia Contributionship,
What sets the SAS Model Card apart from previous model cards is the use of descriptive visuals, to make model cards accessible to all personas involved in the analytics process, including data scientists, data engineers, MLOPs engineers, managers, executives, risk managers, business analytics, end-users, and any other stakeholder with access to the SAS Viya environment.
La Inteligencia Artificial (IA) y la analítica se han convertido en herramientas esenciales para las organizaciones que buscan mantenerse competitivas y relevantes en el mercado. La capacidad de analizar grandes volúmenes de datos y obtener información valiosa en tiempo real es ahora más importante que nunca. Acompáñenos en este blog
When using LLMs, managing toxicity, bias, and bad actors is critical for trustworthy outcomes. Let’s explore what organizations should be thinking about when addressing these important areas.
Who has time to be a nutritionist between work deadlines and swim practice? Not this working mom! But my tiny human needs her fuel, you know? This is why I’m thankful for nutrition labels. A quick scan at the grocery store tells me if that cereal is all sugar bombs
Os eventos climáticos extremos, como furacões, inundações e incêndios florestais, têm se tornado mais frequentes e intensos ao redor do mundo, colocando um holofote em diversos setores da economia, tanto na esfera pública quanto nas empresas. No âmbito privado, o mercado de seguros é um exemplo de como está sendo
기업내에 AI/ML를 적용하기 위해, 업무 관점에서 시민 데이터 사이언티스트(Citizen Data Scientist, 이하 CDS)와 그 필요 역량인 데이터 문해력(Data Literacy)의 중요성이 높아지고 있습니다.(참고 : 데이터 문해력과 시민 데이터 사이언티스트의 필요 역량) 이와 연결하여, 데이터를 기반으로 신속하게 개발한 예측 모델을 업무 시스템에 통합 또는 활용하기 위해 IT 관점에서 해결해야할 과제와 접근 방안에 대해
With all the technology changes coming in the next five years, what should organizations invest in first? The innovations keep coming and so do the 3 a.m. night sweats for decision makers. “How will we catch up when technology seems to change overnight, nearly every night?” It’s a surprisingly common
Se integrada à estratégia da companhia, tecnologia pode e deve ajudar empresas de todos os setores a serem muito mais produtivas, mas é preciso separar o hype da realidade A inteligência artificial generativa tem capturado a atenção de líderes desde que ferramentas como o ChatGPT entraram em cena no final
Herramientas como la analítica y la IA pueden ser grandes aliadas para impulsar el crecimiento de los comercios minoristas en la región. Principalmente cuando se crean estrategias que les permitan competir y atraer a los consumidores para aumentar sus ventas, mediante la utilización de los datos e información disponibles que
A recent article came out with an updated list of necessary components for MLOps and LLMOps. And while this list may seem long, reading through the capabilities and components, I realized that SAS Viya already covers most of the required functionality. Organizations can have a hodgepodge of tools that they
People have high expectations not only from their favorite brands but also from public services. How do you ensure the smooth handling of citizen requests? How do you set the right priorities? Fortunately, data analytics and AI are game changers for these government requests. In a previous blog, we discussed
In the ever-expanding universe of AI, one concept has been steadily gaining ground: Human-out-of-the-loop AI. This term encapsulates a profound shift in how we interact with technology, prompting us to reconsider the boundaries between human and machine intelligence. But what does it entail? And what implications does it hold for
Adding linguistic techniques in SAS NLP with LLMs not only help address quality issues in text data, but since they can incorporate subject matter expertise, they give organizations a tremendous amount of control over their corpora.
SAS Decision Builder is a decision intelligence solution, which means that it uses machine learning and automation to augment human decision-making for better and faster insights that drive tactical and strategic business decisions. It’s a cousin to business intelligence and the next step after data engineering and model training, completing the analytics lifecycle to help achieve business goals.
En el dinámico mundo de los pagos, donde la comodidad y la rapidez son la norma, el fraude ha evolucionado a la par. Los delincuentes utilizan tecnologías avanzadas para preparar estafas, poniendo en riesgo la seguridad financiera de millones de usuarios. Para enfrentar este desafío, la industria financiera está recurriendo
GenAI's creative and analytical capabilities, integrated with IoT devices' connectivity and data insights, could lead to remarkable advancements. The market could become a mega-value creator, potentially exceeding $4.5 trillion by 2030. Discussions around this convergence were the focal point of a panel during the 2024 IoT Slam held at SAS
In modern business, innovation is not just a competitive advantage – it’s essential. Our Resiliency Rules study found that innovation is one of the five key elements needed for businesses in the modern landscape. But how do you drive innovation? By listening to your customers. At SAS, innovation is
