If you had the power to predict the future, how would you use it? Gartner refers to the predictive modeling process as that which collects data, formulates a statistical model, makes predictions, and then validates the model as additional data becomes available. In the world of intelligent automation, teams use predictive modeling to formulate how future outcomes or behaviors will be, by using historical data, machine learning (ML) algorithms, and analytical techniques.
Early in my career, I made the jump from defense contractor to customer support agent for an up-and-coming IT Service Management solution provider. Being new to the team and industry, I felt completely out of place. After the initial product training, I was pointed to a lab computer and told to start diagnosing a set of customer issues. I felt completely lost. Over time, with significant amounts of studying and leaning on my peers, I figured things out and eventually became one of the go-to analysts.
Using third party software on websites comes with risk and reward. eCommerce sites and platforms typically rely on the integration of a significant number of third-party apps and tools to augment functionality and features, from extracting customer data for personalization to enabling live chat to analyzing user experience of changes to a site. While third parties are often invaluable for these kinds of interactive purposes, they can also be the cause of disruptions to user experience.
Software-Defined Wide Area Network (SD-WAN) is a network architecture that provides organizations with a flexible, secure, and cost-effective way to manage their networks. SD-WAN technology abstracts the underlying network and provides an intelligent layer of abstraction, making it possible to manage network traffic and dynamically control the flow of data. SD-WAN technology is an attractive option for organizations looking to improve the performance and security of their networks.
This Kubernetes Architecture series covers the main components used in Kubernetes and provides an introduction to Kubernetes architecture. After reading these blogs, you’ll have a much deeper understanding of the main reasons for choosing Kubernetes as well as the main components that are involved when you start running applications on Kubernetes.
