Cloud Technology

Cloud Computing Resources

Explore our collection of cloud computing content covering Microsoft Azure, AWS, and other major cloud platforms. From infrastructure setup to advanced cloud-native architectures, we provide practical guidance for leveraging cloud technologies effectively.

Our cloud resources help businesses understand how to migrate to the cloud, optimise cloud costs, implement security best practices, and build scalable applications. Whether you’re just starting your cloud journey or looking to optimise existing deployments, you’ll find relevant content here.

Topics include cloud storage solutions, serverless computing, containerisation, cloud security, and integration with AI and machine learning services. We focus on helping organisations make informed decisions about their cloud strategy and implementation.

What is Amazon S3?

Amazon S3 is described by Amazon as “object storage built to store and retrieve any amount of data from anywhere”. Similar to Google Drive in that it can store many different data types, Amazon S3 makes it easy to meet the data needs of large and complex web applications - including Netflix, Airbnb, and Amazon itself.

What is AWS Redshift?

Amazon Redshift is a cloud-based data warehousing solution that allows you to store, transform and query vast volumes of data at high speed.

What is Azure Batch?

Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your application and perform different parts of the workload in parallel.

What is Azure Data Factory?

Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.

Rising Stars

Technation.io Company Nightingale HQ helps SMEs identify cases for artificial intelligence within their business and provides the tools and support required to help them to successfully adopt and deploy AI and specific AI projects.

Stem Awards Wales 2020

Stem Awards Wales 2020 Describe your business Nightingale HQ is a complete AI platform that helps businesses get AI-Ready by providing content, training, and ultimately, connections. We offer three products, AI Learn, AI Direct and AI Connect. Through AI learn, companies can get training to get their teams AI ready. Through AI direct, we can help businesses asses their potential and build an AI strategy. Finally AI connect helps connect organisations with the worlds best AI experts, taking the pain out of finding an AI specialist and providing one simple point of contact to manage all projects.

How to use Azure Cognitive Services to make voiceovers for your videos

In this post, we take you through how to use Microsoft's Cognitive Services to generate voiceovers for your videos. In practice, this technique for generating speech from text can be used in a wide range tasks but one of the ways we're using it at Nightingale HQ is to support our marketing team.

How to score your first AI quick wins: Intelligent Insights

There’s no doubt that going ahead with Artificial Intelligence (AI) can be risky. We’ve seen numerous AI fails from major companies including IBM, Amazon and Microsoft which landed them in hot water, something big companies can often bounce back from, but could be more of a problem for the smaller players. The trick to getting started with AI is to start small, which is where our quick win AI projects come into play.

Industry IoT, smart factories and AI in manufacturing

The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. Aside from clear use cases like robotics and automation, big data applications are coming into play, thanks to industrial time series data collected by data historians. Thriving on all this data, AI systems can be built to send early warnings, optimise processes, predict maintenance and enforce quality control. By collecting the right data, manufacturers can get really creative with their AI solutions, and it can set them apart from the competition.

How to score your first AI quick wins: Knowledge Worker Productivity

When you choose to introduce Artificial Intelligence (AI) in your organisation or department there can be a lot of resistance and uncertainty, which is why it is important to start small and win fast. By taking on smaller fail-proof projects, you can build up confidence among your team as they begin to see the value of the projects and stop fearing failure and resisting changes. In this project we discuss how to boost knowledge worker productivity, something employees will be able to track themselves and see the true value of. Building momentum in this way will pave the way for greater successes down the line.