Azure Data Manager for Energy : atteindre l’interopérabilité avec Petrel
Microsoft Azure Data Manager for Energy est la première plateforme de données OSDU™ entièrement gérée conçue pour le secteur de l’énergie.
Microsoft Azure Data Manager for Energy est la première plateforme de données OSDU™ entièrement gérée conçue pour le secteur de l’énergie.
We’re thrilled to announce that Microsoft Azure Data Manager for Agriculture is now available in preview.
Pour la cinquième année consécutive, Gartner a placé Microsoft en tant que leader dans le Magic Quadrant pour les plateformes d’intégration d’entreprise en tant que service (classement mondial). Ce classement témoigne de nos investissements continus visant à répondre aux besoins d’intégration des clients.
We are excited to share that Gartner® has positioned Microsoft as a Leader in the 2022 Magic Quadrant™ for Full Life Cycle API Management—the third consecutive year Microsoft has been recognized as a Leader.
Microsoft technology provides a simple-to-use app and the integration needed to handle end-to-end testing and allow Tuskegee students to return to school safely.
We’re excited to announce that Microsoft has joined the Eclipse Foundation Jakarta EE and MicroProfile Working Groups as an Enterprise and Corporate member, respectively. Our goal is to help advance these technologies to deliver better outcomes for our Java customers and the broader community.
Aiming to enable the hospital-at-home approach to better support patients and help to relieve existing pressures on the NHS, Capita Healthcare Decisions leverages Microsoft Azure Health Data Services which enables healthcare professionals and patients to manage patient data in the cloud.
One of the biggest challenges in treating diabetic foot ulcers is the ability to monitor the patient’s progress when they are outside of the hospital.
The healthcare industry has come a long way from putting pen to paper on a pharmacy script or clinical SOAP note to now, being able to deliver primary care in the emerging hospital at home.
With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more.