AWS Federal government organisations that either collect, store, share, transfer, or process sensitive data, as well as all federal agencies, their contractors, and service providers, are required to operate in high-security environments to ensure the safety of sensitive data such as Personally Identifiable Information or confidential information.
It was clear that reality had begun to shift, and that what once would have been horrifying — the outpouring of rage against a backdrop of constant, low-grade mistrust — had become the new normal. This is how the author of the New York Times described the stories of the irate customer behaviour that started showing in the time of pandemic.
Organisations of different scales and forms want to harness the power of data to identify new business opportunities and improve current business operations. Organisations that use data effectively can hold a potential advantage – the ability to make faster and more informed business decisions. However, working with data can be a long-standing problem for businesses and functions, especially in data management and software development.
London, 21 April 2022. Canonical Ubuntu 22.04 LTS is now generally available, featuring significant leaps forward in cloud confidential computing, real-time kernel for industrial applications, and enterprise Active Directory, PCI-DSS, HIPAA, FIPS and FedRAMP compliance – raising the bar for open source from cloud to edge, IoT and workstations.
The financial services industry has evolved at an astonishing rate in recent years, underpinned by rapid advances in technology. Financial institutions (FIs) are digitising their customer journeys and scaling-up transformation. Cloud is a catalyst for enterprise business transformation and is a focus for C-suite executives and board members of financial services organisations.
The latest Kubernetes release, 1.24, is about to be made generally available. Today, the community announced the availability of the 1.24 release candidate. Developers, DevOps and other cloud and open source enthusiasts who want to experiment with the latest cutting edge K8s features can already do so easily with MicroK8s.
In this blog, we will be introducing where and how clusters are currently being deployed, what these deployment methods enable, and the major players in that space. This blog is a part of a series of blogs on HPC where we will introduce you to the world of HPC.
MLOps pipelines are a set of steps that automate the process of creating and maintaining AI/ML models. In other words, Data Scientists create multiple notebooks while building their experiments, and naturally the next step is a transition from experiments to production-ready code. The best way to do this is to build an effective MLOps pipeline. What’s the alternative, I hear you ask? Well, each time you want to create a model, you run your notebooks manually.
