Azure Government

Updates for building solutions across Microsoft's Clouds for Government

2017 - Page 2 of 16 - Azure Government

Harnessing the intelligent cloud for Defense

November 30, 2017 Nov 30, 2017 11/30/17
Derek Strausbaugh, Principal Program Manager
(image) The rapid evolution of technology and the exploitation of data, machine intelligence and on-demand computing power is changing the landscape of defense. This is leading to a massive shift in how the United States Department of Defense (DoD) is looking to adopt cloud computing services to rapidly innovate, extend its mission ...

Advancing your cloud journey

November 29, 2017 Nov 29, 2017 11/29/17
Karina Homme
(image) According to a survey of Federal CIOs from the International Data Corporation, [1]IDC MaturityScape Benchmark: Cloud in Federal Civilian Agencies in the United States, 2017, 86.4% of respondents are operating beneath the highest stage of cloud maturity. These respondents represent technology decision makers across 104 federal ...

Unlock data insights to drive agency mission

November 28, 2017 Nov 28, 2017 11/28/17
Karina Homme
(image) Now more than ever, federal CIOs can leverage business intelligence (BI) and advanced analytics to simplify data management, unlock valuable insights, and use these insights to improve operations across their agencies. Advanced analytics allows CIOs to connect available data to their agency’s larger mission. Sophisticated tools ...

Azure Government Technical Community

November 28, 2017 Nov 28, 2017 11/28/17
Steve Michelotti
In this episode of the Azure Government video series, Steve Michelotti talks with Gerardo Saca of the Azure Government Engineering team about the Azure Government technical community. Are you a developer or IT Pro that considers yourself a part of the Azure Government technical community? If not, why not? Steve and Saca talk about numerous ...

Join us Nov. 29! Gov Cloud Migration Strategies & Creating a Culture of Change

November 21, 2017 Nov 21, 2017 11/21/17
Karina Homme
(image) While cloud is becoming the new normal for government, agencies are still challenged with the daunting task of IT modernization and developing a cohesive cloud migration strategy. Oftentimes, what’s holding back progress is that there isn’t a one-size-fits-all cloud playbook. That, combined with agency culture, hinders many ...

Creating a Secure Space for IoT in Government

November 21, 2017 Nov 21, 2017 11/21/17
Karina Homme
(image) IoT is multi-dimensional and flexible in the way it can improve agency function and bring nuanced approaches to citizen services, all while existing on a secure platform. With IoT, you are connecting to a vast web of devices such as street cameras, monitoring tools, and a wide array of other “things.” This also presents a unique...

Identity in Azure Government

November 20, 2017 Nov 20, 2017 11/20/17
Steve Michelotti
In this episode of the Azure Government video series, Steve Michelotti talks with Bernie Ellis from the Azure Government Engineering team about Identity on Azure Government. Bernie starts out by talking about the three different Identity models and the things you need to know for each of the scenarios.  Bernie also discusses available ...

Is Mission Driving Your Cloud Strategy?

November 16, 2017 Nov 16, 2017 11/16/17
Karina Homme
(image) In working with federal agencies, we’re seeing a new level of maturity in terms of the ability to use the cloud to dramatically impact mission, achieving much more than just cost savings. For example, the U.S. Department of Veteran’s Affairs Access to Care allows Veterans, caregivers and the public to access wait time and ...

Building Real World Solution on Azure Government with Machine Learning 

November 14, 2017 Nov 14, 2017 11/14/17
Steve Michelotti
In this episode of the Azure Government video series, Steve Michelotti sits down to talk with Vishwas Lele, CTO, Applied Information Sciences, about building real world solutions on Azure Government with Machine Learning. Vishwas describes a solution built for a classified customer in which machine learning is used to provide recommendations ...