Machine Learning for 5G – An Opportunity for Mobile Network Operators And Software Houses To Collaborate Although the mobile industry is booming, major Mobile Network Operators didn’t have that many opportunities to collaborate with Software Houses. Until now. Most software used by Mobile Network Operators (MNO), from Customer Experience Management to Core Network Operations, is developed as part of a bigger deal with Radio Access Network…
When Is The COVID-19 Pandemic Going To End? Math Has The Precise Answer! Nearly everyone would like to know when (and how) the COVID-19 pandemic is going to end. Scientist from all over the world are coming up with different dates and predictions, often using mysteriously looking models. In this entry, we’re going to take a look at the backbone of all disease…
Detecting COVID-19 With Deep Learning? — IT Solutions In Times Of Crisis Times of international crisis — like wars, economical collapses or pandemics — are never welcome, yet they seem inevitable and are, sadly, a natural part of human existence. It’s hard to look for positives when the world is bleeding, but difficult times have proven to be a perfect environment for remarkable people to shine bright.
Can Worker Bees Help Improving… Fraud Detection? The main tasks of worker bees is to find and harvest flowers. Although tiny, these insects are capable of searching within a staggering 6-kilometer (3,7 miles) radius; to achieve this, they developed a surprisingly smart strategy — they move in multiple directions simultaneously to be more efficient. At the same…
AI Explainability: What If the Computer Says No? Artificial Intelligence is transforming the world we know on a daily basis. But, as we trust it to make more and more choices, what if we don’t like the decisions that are made? What happens when AI denies us something and we ask for an explanation? After all, businesses have to explain their reasoning or logic and using AI doesn’t circumvent them from…
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…
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…
Machine Learning in Daily Business – Predicting Performance for Car Sharing Networks One of the less discussed Machine Learning appliances is time series prediction, which can be used for predicting the future values of your business metrics, but also for identifying the seasonality of demand in your specific trade. Here, I want to show one exact example of how this works –…
