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 data Data Acquisition Data Acquisition – Why Is It Important? In many instances, data can become the fuel that will sky-rocket your operations. However, to make this scenario possible, you’ll need the key ingredient – good data. To help you with that, we’ll explain the details behind the various ways to acquire data. data data revolution data-driven decision making DDDM 4 Steps to Becoming a Data-Driven Company Witness how the hero of our story, The Corporation, joined the Data Revolution – and make your first steps into the realm of data-driven decision making as well! Azure Databricks data data science How to Set up a Top-Notch Working Environment for Your Data Scientists The beginning of the last decade saw the rise of Data Science. Multiple companies – including some leading brands – started employing Data Scientists. Businesses spent millions on developing this field at their organizations… and often contributed towards the biggest ML Ops fails in history. Luckily, the current data science landscape is completely different. In this blog entry, we're going to guide you through a fairly easy implementation of tools that will empower your Data Scientists to deliver value effectively. 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… 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… Big Data data data analysis data science 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 –… Cloud data Digital transformation What Does “Digital Transformation” Mean? Digital transformation is something most of us hear on a daily basis – but why is it so vital? If you work in IT, or simply work in management, it’s a word that crops up at most meetings. Forbes alone has 148,811 results (at the time of writing, at least)… Big Data Cloud Cloud computing data data science IoT manufacturing Solving Old Problems With New Technology Digital technology can solve many issues for a variety of businesses and industries. There are many challenges that simply can’t be solved through real-world, physical means alone – we need digital solutions to give us the computational speed, insights and capabilities. The Taguchi Methods are one such issue – but… Cloud Cloud computing data Digital Twin Industry 4.0 IoT Industry 4.0 Technologies: Where Is The Revolution Heading? When it comes to embracing new technology and digitising entire sectors of business, look no further than the Industry 4.0 revolution. All over the world, companies from the likes of manufacturing, warehousing and logistics are embracing Industry 4.0’s key technologies to open up new values and benefits. However, Industry 4.0… Cloud Cloud computing data Digital Twin IoT Digital Twin Explained – The Next Thing After IoT There are so many new technologies changing the current business landscape that at times it may be hard to keep up. While many people are familiar with Industry 4.0 and the Internet of Things (IoT) - both terms which refer to large collections of technology and their business applications -… Popular posts Data Acquisition – Why Is It Important? 4 Steps to Becoming a Data-Driven Company How to Set up a Top-Notch Working Environment for Your Data Scientists Top 5 Reasons To Use Mesh Twin Learning in Your Smart Factory 12>
