Common myths (and facts) about open source

For some companies, the idea of adopting open-source software doesn't seem viable. There are many myths about open source, but the truth is that it can facilitate security, be easy to maintain and integrate, and scale to whatever heights you require. Sign up to stay connected on using Microsoft Azure DevOps with GitHub and Visual Studio, and we can help you unravel the myths and facts about open source.

View: Common myths (and facts) about open source

Why You Need an Open Source Software Strategy

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

Read More...

How AI is finding patterns and anomalies in your data

From autonomous vehicles, predictive analytics applications, and facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI span dozens of industries. Regardless of the AI application, though, these use cases all have a common aspect. After implementing thousands of AI projects, experts have come to realize that despite all of the diversity in applications, AI use cases fall into one or more of seven common patterns. One of them—the pattern-matching pattern—has allowed machines to digest large amounts of data to identify patterns, anomalies, and outliers in the data, so organizations can unearth previously undiscovered insights in their datasets. In this article, you'll learn how pattern-matching is being put to use in today's organizations to prevent fraud, find the best job candidates, manage inventories in times of crisis, and empower data scientists with new perspectives on how to improve critical processes.

Read More...

What is digital transformation? A necessary disruption

Digital transformation, accelerated during the pandemic, is redefining the way companies use technology, people, and processes to apply new business models and discover new revenue streams—while striving to meet constant changes in customer expectations surrounding products and services. The digital transformation consists of five basic steps, starting with the alignment of objectives with business goals. Emerging technology and revamped processes are important for digital transformation—but nothing is more important than having staff with the right sets of skills. From software engineers to data scientists and UX designers, each plays a key role in the success of digital transformation within a company. Review the five steps for digital transformation, find real-world examples, and see which pitfalls you'll need to avoid.

Read More...

Move and modernize your Microsoft workloads with Azure

Hand in hand with digital transformation, cloud technology has seen outstanding growth. Because of the rapid pace of adoption, it has overtaken traditional on-premises hardware. Given the cloud's huge potential across industries, verticals such as manufacturing, railways, banking, retail, education, and healthcare are switching to cloud services to optimize their reach and performance and increase their flexibility. But moving to the cloud is a strategic move, and it requires organizations to make careful internal analysis in choosing the features that will allow them to get the most out of their cloud migration. By reading this infographic, you'll learn more about the most important benefits and features of Microsoft Azure. You'll also discover how the Microsoft cloud is helping businesses enjoy unparalleled cost savings, easily plan migrations, avoid the complexity of multivendor support, and modernize existing cloud applications.

View: Move and modernize your Microsoft workloads with Azure

Risk management best practices

Part of the natural landscape of every business is risk—some level of uncertainty that comes from not knowing how events will unfold as you and your team innovate. However, understanding risk management best practices can help anticipate potential issues and develop a plan. From securing cloud-based options to identifying cyber threats and other financial crimes, risk management is crucial in building business agility. Review our latest infographic to learn what you can do to minimize risks and reduce your exposure across key aspects of your business.

View: Risk management best practices

Don't miss another post! Subscribe now.

One of the main challenges that modern researchers encounter centers on the size of their datasets. As research projects become increasingly more digital, the vast volumes of data that research generates demands enormous raw computing power, for both storage and computational capacity, which most organizations simply didn't have access to. Cloud technology and artificial intelligence (AI) address this need, allowing researchers to free themselves from the constraints of their physical hardware. Cloud-based approaches can also boost the speed and efficiency of publishing, increasing the impact of research publications. Subscribe now to learn more about the data management and automation capabilities of the Microsoft cloud and how they're enabling breakthrough research projects around the world.

View: Don't miss another post! Subscribe now.