Australian National University (ANU) addresses the computing demands of genome research

As scientific research becomes more and more complex, scientists need new, scalable ways to store and analyze ever-larger troves of data. They also need unprecedented amounts of raw computing power to process the data they obtain and deliver timely results that enable projects to stay on track and within budget. To ensure that their research adheres to these restraints, modern-day scientists need to increase efficiency via automation and other approaches whenever they can, wherever they can. Artificial intelligence (AI) and cloud technology give scientists the tools they need to advance research faster than ever before, get results quicker, and achieve scientific breakthroughs like never before. In this video, you'll learn how researchers at Australian National University (ANU) are using Microsoft Azure to dramatically shorten the amount of time they spend on data analysis, enabling faster publication of their cutting-edge genome research.

Low code vs. no code and the future of application development

Low code and no code platforms make app and software development accessible to non-developers. With pre-built templates and boilerplate code, businesses save time and money. Low code or no code platforms can help organizations build and deploy apps without always relying on an engineering team.

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Create a more-productive, self-sustaining farm. Get started with Microsoft Azure AI.

As the world's population increases, farmers need to keep up with rising demand for their crops and livestock. But with climate conditions changing and resources becoming more precious, it's critical for modern farms to seek innovative solutions that allow them to upscale their production without increasing their impact on the environment. Subscribe now to learn how digital solutions powered by Microsoft Azure can be leveraged across both large-scale and small independent farming operations to increase yields and create a more-sustainable industry.

View: Create a more-productive, self-sustaining farm. Get started with Microsoft Azure AI.

Improve observability, strengthen security, and proactively remediate vulnerabilities

There are DevOps tools for every phase of the app lifecycle. Use Azure to implement DevOps practices throughout application planning, development, delivery, and operations. By applying the right combination of DevOps technologies, culture, and processes, you can achieve continual software delivery and offer better value for your customers. Sign up to stay connected. We'll help you learn more about using Azure DevOps with GitHub and Visual Studio from Microsoft.

View: Improve observability, strengthen security, and proactively remediate vulnerabilities

Cultivating successful farming for future generations

In many regions of Africa, climate change has had a profound impact on independent farmers, especially those in isolated areas who lack proper access to running water. Dry seasons are increasingly longer and rains scarcer, making maintaining crops a bigger and bigger challenge with each passing year. For these farmers, traditional methods that were handed down for generations no longer yield the results they need to feed their families, leaving them in a desperate situation. Fortunately, modern technology and digital transformation are now able to provide these farmers with the tools they need to sustain their way of life during these challenging times. In this video, you'll learn how Monica, an independent farmer in Kenya, managed to overcome hardships brought on by climate change by using sustainable energy, accurate weather data, and Microsoft Azure.

Dow uses vision AI at the edge to boost employee safety and security with Azure

Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction. Best of all, this model can be leveraged for other applications, such as detecting when employees aren't wearing proper PPE in industrial locations, and security monitoring.

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10 reasons why every enterprise needs a DevOps strategy for 2021

The world is changing fast, and enterprise needs to keep up with new digital business models. With a DevOps strategy, development and operations teams are committed to a collaborative approach—delivering faster results to threats and opportunities. DevOps delivers strength to any organization willing to make it a core part of its DNA.

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