Republicans and Democrats don’t agree on much, but when it comes to generative AI, they’ve managed to find 32 billion points of agreement. On May 15, a bipartisan group of senators unveiled a roadmap that would have the U.S. government spending $32 billion annually by 2026 to drive AI-related innovation. The U.S. isn’t alone; AI spending in India is growing at an annual average rate of 31.5%, and will exceed $5 billion by 2027.

The cloud offers on-demand computing resources, the ability to increase or reduce usage as needed, and the flexibility to pay only for what you use. But if you’ve been building on the cloud for some time, you know that the last part isn’t exactly straightforward. For example, leaving aggressive product features, engineering sessions, or testing projects unchecked can quickly waste thousands, even millions of dollars in a matter of days.

The business of observability is all about data: what you’re observing in the data, how you’re visualizing it, what it indicates about the state of your environment, and how to address issues that may occur. Creating your own perspective for observability, and understanding what you’re seeing, can be difficult.

The FCC recently published a proposal to require nine major US internet service providers to deploy RPKI Route Origin Validation (ROV). In this post, we’ll look at the proposal and where the nine service providers currently stand with respect to ROV.

Edge computing vs cloud computing: what's best for your business? Finding the best approach for your business can take some trial and error, as well as some time researching how each technology and digital infrastructure choice can support your business goals. When choosing between cloud and edge computing, you will need to know what they are, what the differences between the two are, and how each can strengthen your business's operations in its own way.

When you invest time and effort into creating a well-running end-to-end test suite or adopt Playwright synthetic monitoring with Checkly, you should focus on two things. Your tests must be stable because few things are worse than an unreliable test suite. But also, your tests must be fast because no one wants to wait hours to receive the green light when you're on the edge of your seat to deploy this critical production hotfix.

If you have purchased Ivanti UEM and are migrating to it from Microsoft Intune, you as an IT administrator must understand and execute several critical steps to make that transition smoothly. In this series of blogs, I will be looking from an Intune admin’s perspective at what it takes to migrate from Intune to Ivanti UEM. I will cover practical elements and best practices, translating terminology used across both products to pave the way for a seamless and successful transition.

Businesses leveraging Microsoft Azure’s cloud infrastructure face distinct challenges centered around the complexities of cost management and infrastructure optimization. Designing a cloud environment that aligns with business needs and strict budgets requires not only a deep understanding of Azure’s vast offerings but also state-of-the-art automations to optimally leverage them.

K-NN (k-nearest neighbors) is a widely used machine learning (ML) recommendation algorithm, it is used to locate nearby documents based on vector dimensions. The algorithm can be and has been applied to numerous different use cases including image recognition, fraud detection, image recognition, and ‘other songs you might like’ feature in a music application. KNN uses proximity to provide classifications and predictions regarding the grouping of an individual data point.

It's a proven fact that everyone is becoming more and more immersed in the online world. Digitalization is now a normal part of modern life, from using social networks to automating processes.