mardi 7 décembre 2021
As AI becomes more deeply embedded in our everyday lives, it is incumbent upon all of us to be thoughtful and responsible in how we apply it to benefit people and society. Join our digital event, Put Responsible AI into Practice, to learn more about these updates, including new guidelines for product leaders and a Responsible AI dashboard for data scientists and developers.
jeudi 2 décembre 2021
AI is transforming business and the world. However, AI models learn from the data. Biases that exist in society will exist in the models. Human judgment must be the overriding factor, ensuring that AI models benefit and are inclusive of everyone. Equally important, AI must inspire trust in customers that their data is being used appropriately. These are key reasons that responsible approaches to AI are so critical, and you can learn how to put responsible AI into practice.
mercredi 1 décembre 2021
Due to the complexity, high cost of operations, and unscalable infrastructure, on-premises Hadoop platforms have often not delivered on their initial promises to impact business value. As a result, many enterprises are now seeking to modernize their Hadoop platforms to cloud data platforms.
mardi 23 novembre 2021
ZEISS a conclu un partenariat avec Microsoft pour alimenter l’écosystème médical ZEISS avec Azure Healthcare APIs. ZEISS Meditec collabore avec ZEISS Digital Innovation en tant que partenaire d’implémentation de la plateforme de données et de plusieurs applications de l’écosystème. ZEISS Digital Innovation est un fournisseur de services de développement de logiciels personnalisés, qui implémentent et font fonctionner des solutions de santé numériques novatrices pour le groupe ZEISS et d’autres clients.
mercredi 27 octobre 2021
This year during NVIDIA GTC 21, we’re spotlighting some of the most transformational applications powered by NVIDIA accelerated computing that highlights our commitment to edge, on-premises, and cloud computing. Registration is free, so sign up to learn how Microsoft is powering transformation.
mardi 26 octobre 2021
From research to diagnosis to treatment, AI has the potential to improve outcomes for some treatments by 30 to 40 percent and reduce costs by up to 50 percent. Obtaining the large data sets necessary for generalizability, transparency, and reducing bias has historically been difficult and time-consuming. That’s why the University of California, San Francisco (UCSF) collaborated with Microsoft, Fortanix, and Intel to create BeeKeeperAI.
jeudi 14 octobre 2021
The teams at Humana believed they had enough data to explore the possibility of proactively identifying when patients were heading toward a high-risk event, and they put Microsoft Cloud for Healthcare and AI technology to the test.
mardi 14 septembre 2021
La création d’une infrastructure logicielle programmable pour les opérations de télécommunication promet de réduire les dépenses d’investissement (CAPEX) et les frais d’exploitation (OPEX) des opérateurs de télécommunications 5G. Dans ce blog, nous nous concentrons sur la vidéo, le type de trafic dominant sur Internet depuis l’introduction des réseaux 4G.
mardi 7 septembre 2021
Intel et Microsoft Azure collaborent pour aider les entreprises à déployer des technologies et des services IoT intelligents, avec les capacités d’apprentissage profond de l’intelligence artificielle, la vision par ordinateur et les fonctionnalités audio ou voix. L’ajout de ces capacités permet de résoudre de nombreux problèmes que rencontrent les entreprises, en combinant deux de ces technologies ou plus. Par exemple, l’ajout de la vision par ordinateur à l’intelligence artificielle augmente les différentes possibilités d’utilisation des solutions IoT.
mardi 17 août 2021
Today, AI and machine learning are enabling data-driven organizations to accelerate their journey to insights and decisions. With all the latest advancements, AI is no longer limited to only those with deep expertise or a cache of data scientists, and many organizations can now adopt AI and machine learning for better competitive advantage. Customers with analytics practices looking to adopt machine learning can read this report to get started.