Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.

The emergence of cloud computing. Arguably the biggest change in technology in decades, cloud computing changed how technology would now develop and how businesses and organizations would operate. Indeed, the enormous popularity of cloud services is due precisely to that: you can get different models depending on your operational needs. To properly utilize these cloud service models, you should understand the differences in their functional capabilities and the ideal use cases for each model.

As environments have become more complex and digital user expectations are at an all-time high, organizations are under more pressure than ever to keep their digital systems secure and reliable. At Splunk, we’ve been hard at work building features that help ITOps and engineering teams thrive amid digital disruptions and build resilient systems.

What do you get when you combine the full power of the network with market-leading security and observability solutions? More customer value and an amazing partner ecosystem. It’s official! Today, with the closing of the acquisition, Splunk became part of Cisco. We’re looking forward to this exciting new chapter of our journey together – and it couldn’t have come at a better time.

How your software applications perform is an extremely important factor in determining end-user satisfaction. APM metrics are the key indicators that help business-critical applications achieve peak performance. This article explains APM metrics, their importance, and the core APM metrics used by modern software systems to measure and optimize the performance of their applications.

Somewhere in the IT multiverse, a perfect balance has been achieved between demand for IT services and installed system capacity. Unfortunately, that isn’t our world. IT systems operate in swing periods of idle capacity and overloads, as the ebb and flow of demand is influenced by various internal and external factors.

Data is never just data. There are structured and unstructured data, qualitative and quantitative data. Among these varied types, continuous data stands out as a key player, especially in the quantitative realm. Continuous data, with its infinite possibilities and precision, captures the fluidity of the real world — from the microseconds of a website’s load time to the fluctuating bandwidth usage on a network.

Network protocols are necessary for data transmission and networking over different devices. One of the most common protocols is the TCP/IP framework, which builds connections through our internet. In fact, if you check email, watch Netflix, or stream music from Spotify, you’re relying on TCP/IP in the background. In this article, you’ll learn about the TCP/IP protocol layers and how they function.

In January 2024, I published findings from some of my recent research as, “Top 5 Outcomes CIOs Need to Achieve by 2025: Driving Business Value Through Technology.” By focusing on these five key outcomes, CIOs can ensure that their technology investments directly contribute to business growth, resilience, and competitive advantage in the years leading up to 2025.

Identifying bad actors within your organization often feels like a complicated game of hide and seek. A common comparison is that it's akin to finding a needle in a haystack. So, if the bad actor represents the 'needle' and your organization the 'haystack,' how would you uncover these bad actors? Perhaps the quickest way to find the needle is by burning the haystack. Alternatively, dumping the hay into a pool of water and waiting for the needle to sink to the bottom could also work.