2021年12月2日
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.
Eric Boyd
Corporate Vice President, AI Platform
2021年12月1日
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.
2021年11月23日
ZEISS partnered with Microsoft to power the ZEISS Medical Ecosystem with the Azure Healthcare APIs. ZEISS Meditec is collaborating with ZEISS Digital Innovation as the implementation partner for the data platform and multiple ecosystem applications. ZEISS Digital Innovation is a provider of custom software development services, implementing and operating innovative digital healthcare solutions for the ZEISS group and clients outside ZEISS.
2021年10月27日
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.
2021年10月26日
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.
John Doyle
Chief Technology Officer, Microsoft Health & Life Sciences
2021年10月14日
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.
2021年9月14日
通信事業向けのプログラム可能なソフトウェア インフラストラクチャを構築することで、5G 通信事業者の資本支出 (CAPEX) と運用支出 (OPEX) の両方を削減することが約束されます。このブログでは、4G ネットワークの導入以来、インターネット上の主要なトラフィックの種類であるビデオに焦点を当てています。
Victor Bahl
Microsoft Technical Fellow and Chief Technology Officer, Azure for Operators
2021年9月7日
Intel と Microsoft Azure は、AI のディープ ラーニング機能、コンピューター ビジョン、音声やスピーチの機能など、インテリジェントな IoT 技術やサービスをデプロイできるよう、連携して企業を支援しています。これらの機能を追加することで、ソリューションではより多くのビジネス上の課題を解決することができます。また 2 つ以上のものを組み合わせることで、たとえばコンピューター ビジョンと AI の両方を追加することで、IoT ソリューションの潜在的な用途を大きく広げることができます。
2021年8月17日
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.
2021年7月14日
The challenges of the past year revealed that serving and making a difference for each other, our communities, and the world around us is more critical than ever. In order to persevere and drive business success, organizations must be future-ready, build on their terms, operate hybrid seamlessly, and do all of this with an uncompromising foundation of trust. Microsoft Azure is committed to helping every organization accomplish just that, as outlined by our announcements at this week’s Microsoft Inspire.