Month: August 2021
When diving into the world of DevOps tools, it’s important to remember that Microsoft Azure DevOps and GitHub each offer unique value and overlapping capabilities. They can be used separately or together, so there’s even a “why not both?” scenario. Learn the history of these two DevOps tools, the specific advantages of each, and how to get started using them.
Adopting the tools and mindset of DevOps in the right manner can facilitate development efficiency, boost productivity, and increase the rate at which products can be brought to market.
Sign up to stay connected. We’ll help you navigate the world of GitHub and Azure DevOps and share helpful tips to get started.
With so many possible artificial intelligence (AI) applications, predicting trends can be challenging, especially in an age when innovation reigns supreme and new breakthroughs occur every day. So, in an effort to gain further insights into the future of AI, researchers from Stanford University and the Brookings Institution analyzed keywords in patents to identify where the technology will have its greatest impact on jobs and companies in the years ahead.
Read this article to learn about their predictions about the future of AI and gain insights into what industries will be most impacted by artificial intelligence and its applications.
Teams that adopt DevOps culture, practices, and tools become high-performing—building better products faster for greater customer satisfaction. This improved collaboration and productivity is essential to achieve business goals such as accelerating time to market, adapting to the market and competition, maintaining system stability and reliability, and improving the mean time to recovery. Sign up to say connected—we’ll help you learn more about Azure DevOps with GitHub and Visual Studio from Microsoft.
Optimizing resources is a top priority in the farming industry. As farmable land gets more utilized and population increases, the need to do more with less becomes a crucial competitive advantage. Luckily, today’s farmers have various digital tools at their disposal such as automation, machine learning, and artificial intelligence that allow them to increase yields while lowering their water and electricity consumptions levels.
Subscribe now to learn how independent farmers around the world are leveraging Microsoft technology powered by solar energy to increase and stabilize their income, and how you, too, can get started with Azure AI.
When the Academy of Motion Picture Arts and Sciences maxxed-out its on-premises infrastructure, it turned to Microsoft Azure to expand its capacity into the cloud. It also leaned into Azure DevOps to improve collaboration between development and infrastructure teams and used Visual Studio to develop new streaming apps across Windows, Mac, Android, iOS, and tvOS—delivering rich, responsive online experiences to its members across different devices and platforms.
Modern technology has enabled farmers to obtain impressive yields that sustain entire populations while allowing them to become as efficient as possible with their available resources. However, most of this technology is dependent upon stable electrical grids, large-scale aqueducts, and a steady fuel supply, all of which are not readily available to millions of farmers around the world.
One of these farmers is Monica, who depended on a water well located on her property as her only water source to sustain both her farm and her family. To make matters worse, climate change made rain increasingly scarce in her region of Kenya, Africa, which further decreased her available water supply and forced her to work harder just to maintain her current yields. Thankfully, just as things seemed impossible, digital transformation provided her with the solution she needed to secure a better future.
In this video, you’ll learn about Monica’s story and how, thanks to solar-powered Microsoft technology, she was able to automate her entire irrigation system, gain access to accurate weather forecasts, and obtain more income year round.
DevSecOps is the evolution of DevOps, where developer, security, and operations teams are united around the culture of security as a shared responsibility.
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DevOps as an ideal is revolutionizing the way organizations communicate and how they handle their daily work. Learn how this process brings together development and operations teams—who have traditionally been pitted against each other—and allows them to align on value and work toward a common goal.
The benefits of AI are undeniable, yet the technology itself is still not widely seen as a surefire investment by a large percentage of today’s decision makers. As a matter of fact, a recent study revealed that only 40 percent out of 1,500 executives have stated that they’re currently executing one AI initiative, or are in the process of doing so. There are multiple reasons for this— among them, a shortage of AI professionals, plus challenges when calculating profitability —but the real silver lining is that the fight for greater inclusion of AI-driven projects starts by bringing solid arguments to the boardroom.
In this article, you’ll read about four evidence-based and time-proven cases you can use to push forward the execution of your artificial intelligence initiatives.
