The two must-haves for data resiliency
How can your government services be resilient—even in the face of a natural disaster or cyberattack? Two keys to data resiliency: geo-redundancy and cybersecurity.
At HIMSS 2026, Microsoft Dragon Copilot advances unified AI workflows to help clinicians reduce complexity and stay focused on patients.
How can your government services be resilient—even in the face of a natural disaster or cyberattack? Two keys to data resiliency: geo-redundancy and cybersecurity.
The rapid evolution of technology and the exploitation of data, machine intelligence and on-demand computing power is changing the landscape of defense.
Cortana Intelligence and Azure Machine Learning are helping insurers unlock data and provide artificial intelligent insights beyond areas supported by actuaries.
If you have a physical presence in the EU or offer goods and services to people in the EU, the GDPR is going to fundamentally transform how you manage customer data.
Why are these great companies that were the major innovators of the Internet struggling so much to find their place in the Internet Economy?.
Law enforcement agencies today have numerous data-capturing sources—yet, their data is often unstructured and lacks the necessary context and connections.
Grand Rapids is improving customer service by enabling residents to complete city transactions on any device with an Azure-powered website from OpenCities.
Today's advanced planning software enables consumer goods brands to act on data insights and evolving business practices to keep pace with rapid market changes.
Discover more about Customer Insights for Banking and learn how you can transform your customer relationships with channel optimization.
Big Compute delivers modelling, simulation, data gathering and analytics capabilities that are transforming the way insurers do business.
The “average” life sciences company of today faces technical, regulatory, and cultural barriers that stand in the way of the transformation journey.
In our increasingly connected world, data science will continue to grow and demands for rapid, incisive risk management are only going to intensify.