PWA vs SPA vs Native Mobile Application – What’s Right? There’s more than one way to make a mobile app – but more choices often lead to more challenges. Specifically, do you build a PWA, SPA or native application? Is one always better than the other? Or are they situational? Straight away, let’s answer that last question – there are…
What Is Multiexperience & Why Does It Matter? For anyone following the development of multiexperience, it’s simultaneously the most important topic and most unheard-of subject right now. Everyone’s talking about it, but nobody seems to be talking about what it actually is. So let’s change that. Here’s our assessment of multiexperience; what it is, what it involves and…
Top 5 Reasons To Use Mesh Twin Learning in Your Smart Factory All the world’s talking about Digital Twin – but let’s think a little further ahead than that. Digital Twin is just the first step, not the end destination. Mesh Twin Learning is the next phase – so let’s explore that and provide a number of key benefits that MTL is…
More Effective Machine Learning Production with MLOps Machine Learning is slowly starting to mature as a field, but many businesses are still facing tough upfront challenges. While there are a huge (and increasing) amount of new algorithms, neural network architectures and libraries, practical deployments are still in the toddler phase. However, there’s plenty of new hope for…
IR35 for Private Sector: How Is IT Impacted? Few sectors arguably rely on contracting more than the IT sector, so it should come as no surprise that the upcoming IR35 rule changes are making a big impact in the UK’s home industries. In fact, it’s been estimated that almost 75% of UK organisations aren’t ready for the upcoming…
Digital Twin: The First Step To Industry 4.0 In one of our recent posts, we introduced the Mesh Twin Learning (MTL) concept, which uses modern technologies to give industrial companies a competitive advantage by introducing micro-optimisations and sharing learned successes across the organisation. MTL is pretty advanced concept, though. It requires data from IoT sensors, the creation of…
MLflow: Tracking ML Model Changes & Deployment in Azure In this post, we’ll cover tracking changes, as well as comparing and tracking the deployment of Machine Learning models using MLflow library. We’ll later set up resources in the Azure Cloud so we can provision our model, as well as create the Azure DevOps pipeline to deploy a new model…
