Blog All Machine Learning Business Analysis Consultancy Artificial Intelligence DevOps Solutions Architect Delivery Manager Rozwój w PGS Data science Cloud Software Development Quality Assurance Design News Events 5G data security machine learning MLOps SON telecommunication tokenization Machine Learning in 5G Networks — How Can Mobile Network Operators and Software Houses Collaborate? https://www.pgs-soft.com/blog/what-does-a-devops-do/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… AI banking finance machine learning The Future of Artificial Intelligence (AI) in the Finance Industry is Now The stereotypical idea of a bank — elegant people sitting behind desks and stamping documents — is becoming history. Forecasts show that, by 2021, the majority of all financial operations in the UK will be done via an app. From the client’s perspective, banking has never been easier. But simply… AWS machine learning pasje naszych ludzi By Deep Racer to Las Vegas AWS DeepRacer League is a global race where programmable DeepRacers, i.e. autonomous vehicles created by Amazon Web Services (AWS), compete for the title of the fastest. The winner is the first one to learn to overcome obstacles faced along the route. Can you get to Las Vegas by this vehicle? It turns out you can. AI AI explainability finance machine learning 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… data machine learning manufacturing Mesh Twin Learning 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… AI machine learning ML MLOps 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… data data engineering Digital Twin machine learning manufacturing Mesh Twin Learning 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… azure Cloud machine learning MLflow 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… AI History machine learning Man vs Machine, A History. Part 2 – AI Quests That Benefit Us All In the first part of this article, we embarked on a quest to follow the progress of computers defeating human champions in several classic games - including Backgammon, Chess and Go - as well as some more modern invention. In this part, we will focus on advances within the last… AI History machine learning Man vs Machine, A History. Part 1 – The Only Winning Move? Since the beginning of the computer age, people have been comparing the capabilities of “electronic brains” to their own. One of the ways to approach this matter is to use an abstraction of a game, specifically one that has a certain set of rules and victory conditions, and see whether… Popular posts Machine Learning in 5G Networks — How Can Mobile Network Operators and Software Houses Collaborate? The Future of Artificial Intelligence (AI) in the Finance Industry is Now By Deep Racer to Las Vegas AI Explainability: What If the Computer Says No? 12>
