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…
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…
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…
Writing Board Game AI Bots – The Good, The Bad, and The Ugly Machine Learning has a variety of uses. There are numerous problems Machine Learning can solve, for businesses large and small. Yet, while Machine Learning is used for countless tasks, it’s not a simple solution. It takes plenty of training and data, so developers should be as familiar with the technology…
AI & ML in Business: Master Problem Solvers? Have a tricky business problem? Chances are Machine Learning and Artificial Intelligence can help you solve it. However, it’s not a one-size-fits-all solution – Artificial Intelligence (AI) & Machine Learning (ML) can do a lot, so there are a few things you need to know, not least of all the…
Data Science in Practice: An Analysis of Vozilla Electric Car Rental Activity Have you ever wondered about the business benefits of data science & Machine Learning? Discover how data analysis findings can become much more than informative insights and statistics. PGS Software’s Android Team Leader, Tomasz Zieliński, prepared a special report – “Data Science in Practice: An Analysis of Vozilla Electric Car…
Big data and machine learning with Apache Spark and Cassandra Part 2 – Example of usage We successfully converted our idea to working code. For development purposes we have been using data crawled from the web, but here we will present our results on data from Amazon public repository of product opinions.
