Many organizations are heavily investing in AI and automation to remove the burden of manual work and operational efficiency. However to drive their wide scale adoption, they also need employees who can collaborate effectively with the technology. To bridge that gap, companies can use upskilling to retain talent, mitigate risks to the business, and allow employees to grow their careers.

In this blog post, BGP experts Doug Madory of Kentik and Job Snijders of Fastly review the latest RPKI ROV deployment metrics in light of a major milestone.

Today’s evolving digital landscape requires both hybrid cloud and multi-cloud strategies to drive efficiency, innovation, and scalability. But this means more complexity and a unique set of challenges for network and cloud engineers, particularly when it comes to managing and gaining visibility across these environments.

Analyzing network traffic data can quickly descend into chaos due to the increasing number of devices and applications in organizations, making it difficult to untangle the complexity manually. Many organizations now use network traffic analyzers to streamline this process. But what exactly is a network traffic analyzer, and how can it help with effective network management? Let's explore this in detail.

“Internet Performance Monitoring solutions close the observability gap…” states Enterprise Management Associates in its new White Paper, Modern Enterprises Must Boost Observability with Internet Performance Monitoring. How? “…By providing visibility into global Internet performance and reporting on how that performance impacts application performance and end-user experience.”

I recently wrote about how AI can support unified communications in the enterprise, but its applications are much broader than that, and communications service providers also have the opportunity to benefit. In a recent Gartner survey, 95% of telecom CIOs said they plan to implement AI/ML technologies by 2026 and 79% said they plan to increase their AI/ML investments.

With the advent of microservices and cloud native, organizations are shifting how they approach software development and deployment to become more agile and respond quickly to continually evolving business needs. These changes result in fundamental transformation for IT.

The internet serves as the backbone for communication, collaboration, and access to information in today’s digital world. However, despite its widespread use and importance, the internet is not immune to reliability issues. From occasional slowdowns to complete outages, internet users often encounter disruptions that can impact their productivity and connectivity. Several factors contribute to internet unreliability.

In the ever-evolving landscape of digital connectivity, businesses face a relentless demand for faster, more reliable networks. Whether it’s the surge in remote work, the proliferation of devices that can connect to the internet, or the exponential growth of data-intensive applications, the strain on network infrastructure is ever-growing. In this era where every byte counts, network capacity planning emerges as a critical strategy for organizations seeking to stay ahead in the digital race.