Microsoft Secure on March 28, 2023, was a major success, thanks to more than 51,000 virtual attendees. It’s not too late to watch a session you missed. Watch on-demand.
As enterprises continue to adopt the Internet of Things (IoT) solutions and AI to analyze processes and data from their equipment, the need for high-speed, low-latency wireless connections are rapidly growing. Companies are already seeing benefits from deploying private 5G networks to enable their solutions, especially in the manufacturing, healthcare, and retail sectors.
Clearly, finance is about data. Data is the connective tissue that brings context, value, and understanding of risks through its continuous, real-time flow. In financial services, as with other experiential industries, data is the pivot on which transformation is happening across all market segments, be they enterprise or consumer.
As analytics tools and machine learning capabilities mature, healthcare innovators are speeding up the development of enhanced treatments supported by Azure’s GPU-accelerated AI infrastructure powered by NVIDIA.
Project Health Insights is a service that derives insights based on patient data and includes pre-built models that aim to power key high value scenarios in the health domain.
In our latest feature release for Microsoft Cloud for Healthcare, we’re excited to share how we can help your organization deliver exceptional patient and member experiences, accelerate data-driven decision-making, support your healthcare workforce, and enhance collaboration across the care continuum.
We’re excited to announce that the Microsoft Azure Connected Learning Experience (CLX) program now has three new Data and AI tracks. These courses help you boost your data and AI skills your way—allowing you to maximize your learning in minimal time.
Microsoft recognizes the importance of responsible innovation in AI, especially with powerful new technologies like generative models. As such, Microsoft has taken an iterative approach to large models, working closely with OpenAI and customers to carefully assess use cases, learn, and address potential risks.