Discover how AI is used today and how it will augment human experience in the future
Der Einsatz einer zentralen, skalierbaren Plattform, die offen, flexibel und jederzeit anpassbar ist, kann Kassen der Steuerbehörden unterstützen.
딥 러닝은 인공 지능과 함께 유비쿼터스가 된 머신 러닝의 한 영역입니다. 딥 러닝 모델의 복잡하고 뇌와 유사한 구조는 대량의 데이터에서 복잡한 패턴을 찾는 데 사용됩니다. 이러한 모델은 일반 지도 학습 모델, 시계열, 음성 인식, 객체 탐지 및 분류, 감성 분석의 성능을 크게 향상시켰습니다. 사전 정의된 방정식을 실행하도록 데이터를 구성하는 대신
SAS' Véronique Van Vlasselaer reveals why managing model performance is as important as putting them into production.
A prima vista, potrebbe sembrare che data science e psicologia abbiano ben poco in comune. Tuttavia, di recente ho iniziato ad appassionarmi di psicologia e penso che tra le due ci siano molte più somiglianze di quanto si possa pensare. 1. Sia Data Science che psicologia ci aiutano a rispondere
What does the AI enterprise of the future look like? That’s a tough question that I’ve been asked to consider, along with a distinguished panel at Valley ML AI Expo 2020. The title of the panel is, “Life, the Universe and the AI Enterprise of the Future.” Based on an initial chat with panel chair Gautam Khera, I’ve written up some possible topics we’ll be covering on the panel. Consider
Depending on who you talk to, you'll get varying definitions and opinions regarding demand sensing. Anything from sensing short-range replenishment based on sales orders, to the manual blending of point-of-sales (POS) data and shipments. But a key component for retailers and CPG companies is accurately forecasting short-term consumer demand to
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
A nivel mundial, los bancos han gastado un estimado de US$321 mil millones en multas desde 2008 por no cumplir con los estándares regulatorios, facilitar el lavado de dinero, el financiamiento del terrorismo y la manipulación del mercado. De hecho, se estima que el total de dinero lavado anualmente en
La pandémie COVID-19 a mis en évidence des défis majeurs dans le secteur des sciences de la vie, mais elle a également identifié de réelles opportunités de changement et de modernisation. A l’avenir, il ne fait aucun doute que les données et l’analytique auront un rôle beaucoup plus important à
Images and artificial intelligence You don’t have to be a computer geek to know that artificial intelligence (AI) is having a moment in the sun just now. In recent years, we have made huge progress in the field of AI, and particularly through deep learning algorithms. These algorithms have been
How coronavirus has led banks to reassess the value and purpose of local banking services
« Je suis désolé Dave, mais je ne peux pas accéder à votre demande. ", ainsi s’exprime CARL 500 – nommé HAL 9000 dans la version anglaise – dans l’épique ‘2001 : L’Odyssée de l’espace’ de Stanley Kubrick. Ce dialogue a marqué l’histoire du cinéma de Science-Fiction. CARL, IA de
Collaboration and cooperation are a fact of life in every organization. However, how it's done in practice and how effective it is can vary significantly. What drives these differences and variations? Research shows that organizational culture is an important influence, especially the value placed on two main factors: relationships and
"Klar, verbessern kann man immer. Dieser Ist-Zustand, wie sie ihn nennen, wird ja ständig angepasst."
Technologies have driven business progress by providing innovative and effective ways to solve business problems. The financial sector is one of the most accepting of innovation, and the growing pressure from fintechs has encouraged other businesses to act. This has driven rapid incorporation of artificial intelligence (AI) processes and machine
Seconds are passing us by at this very moment, and there's not much you can do in one second. Well, there is something. Let's say smile, take a deep breath, close your cellphone and say thank you. Within a second you can also make decisions: click the buy button in
According to the SAS Experience 2030 global study, by the year 2030 67% of in-person customer engagements (think sales assistance and information queries) will be completed by smart machines rather than humans. And while it may seem a bit ironic, the most personalized customer experiences could involve no people at
The more information they have to learn from, the better. Naturally, this will not allow you to predict global pandemics or financial collapses.
Ser más eficiente gastando menos recursos Vender más (aún en estos tiempos) Tener unido a los equipos de trabajo, a pesar de las distancias Mantener seguro el entorno TIC de la empresa ahora desde casa Tomar las decisiones correctas en medio de escenarios de incertidumbre Afectación directa a la producción
Doch wir wollen nicht in alten Zeiten schwelgen. In der Causa Big Data war früher alles schlechter und nichts besser.
What analytics architecture is needed to support an accelerator? I have recently been working with my colleague Jussi Martikka to extract lessons from the City of Helsinki’s AI Experimentation Accelerator work. We used the steps of the accelerator process to define the analytics architecture needed. This was a useful way
최근 SAS는 클라우드에서 AI와 분석의 미래를 더욱 구체화하기 위해 마이크로소프트와 새로운 전략적 파트너십을 체결했습니다. 이번 파트너십으로 SAS 고객은 클라우드 환경에서 훨씬 수월하게 분석을 수행할 수 있습니다. 또한 SAS의 AI 및 분석 솔루션과 마이크로소프트 애저(Azure)의 긴밀한 통합으로 수백만 명의 애저 고객은 SAS 기술을 편리하게 활용하여 분석 성능을 한층 개선할 수 있습니다.
The pandemic may have other implications for manufacturing. For example, we could see factories moving away from a reliance on physical labour.
There's no question that we're all increasingly, and often exclusively, interacting with brands digitally. Consumers are now online through countless mechanisms – from laptops and mobile apps to AI-enabled voice assistants and sensor-based wearables. Engagement is diversifying in fascinating new ways. And when organizations can't see their customers interacting in
La migración de una operación analítica a la nube abre un amplio abanico de ventajas para las organizaciones: procesamiento y análisis de datos para encontrar las respuestas a sus problemas de negocio más apremiantes, tomar las decisiones más informadas posibles, e identificar oportunidades para crecer, innovar y ser rentables. Les
"Wir stehen für Transfer. Die Forschungsergebnisse der TU Darmstadt sollen nicht in einer Schublade liegen bleiben."
Los días de compras diferenciadas -como los días sin IVA llevados a cabo en varios países latinoamericanos y los que aún hay programados por ejemplo en Colombia para septiembre- deben dejarnos experiencias y aprendizajes. Es cierto que hay que seguir reforzando los controles de bioseguridad y que cuidar la salud
La desinformación y las fake news constituyen hoy en día una de las principales amenazas para la libertad de información y el pensamiento crítico de la sociedad. En épocas de gran incertidumbre, como la derivada de la pandemia del COVID-19, las fake news pueden llegar a tener consecuencias aún más
Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail —
