Collaboration helps drive innovation, which is why open-source software is the future of digital technology. In 2020, there were more than 1.9 billion global open-source contributions. When facing a new technological challenge, open source can be the key to unlocking new opportunities—but it’s critical to have a
This video highlights six important principles Microsoft considers before pushing their AI products to production.
This infographic is an overview of how Azure Machine Learning is the best way to transform your business with the power of AI. This tool highlights the growing market opportunity and how Microsoft itself has leveraged AI into ongoing momentum for its own business.
See how East Suffolk and North Essex Foundation Trust (ESNEFT) has transformed the way they engage with staff and patients using Microsoft Teams and Surface devices to deliver on their #TimeMatters digital program.
This blog article from Microsoft discusses how AI has the potential to transform the future of work, and it is critical that businesses foster a culture that includes everyone as they incorporate AI strategies.
The biggest potential that AI holds is its ability to help us work together to tackle our toughest problems and it requires the shared responsibility to think about not just what AI can do, but what it should do.
This infographic highlights the benefits that make Surface the top choice for today’s organizations and employees.
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The Atlantic is using Azure AI to preserve 160 years of published history. Specifically, the Atlantic is using Azure Cognitive Search to transition from hard copy to a digital system where its archives can be perused by the public. Writers can use these services as a resource to build connections between stories and enrich their content.
What drives a self-driving car? A tremendous flood of data. To make Bertrandt’s Level 4 self-driving car project HARRI a reality, far too much data was needed than could be stored onboard the vehicle itself. It required Microsoft Azure Services to provide access to volumes of mapping data for an autonomous vehicle. Azure DevOps facilitated the efficient coordination of work between developers and ops —and the QA needed to develop such exacting software.