Nx for Angular: A reliable tool simplifying the work with IT projects
Front-end developer explores how Nx can benefit Angular projects and its compatibility with other technologies like React & Node.
Technology & development
We cover technology and development from A-Z
With us, you keep pace with the rapidly changing technology landscape
Technology is advancing at an unprecedented pace, making it more challenging than over before for businesses to keep up with the latest trends and innovations.
Staying updated and ensuring compatibility with emerging technologies can be a significant challenge, but with emagine you gain access to capabilities and competencies you'll need to stay at the front of technology trends.
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Our capabilities in Tech & Development
Combining experience and expertise with an attentive and curious approach.
Intelligent Process Automation
Intelligent Process Automation
More companies are turning to Process Automation to streamline enterprise operations and reduce costs. With Process Automation, businesses can automate mundane processes, enabling team members to devote more time to serving customers or other higher-value work.
Data & Analytics
Data & Analytics
In the right environment, with the right enablers, data analytics drive growth. emagine develops the strategic, technical, and human capabilities that take companies from descriptive to prescriptive analytics solutions that will deliver vision and value.
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development cases
Modernizing the architecture of market-leading risk aggregation and regulatory reporting platform
A global company needed to rewrite its software and had challenges finding the right IT-skills. emagine was found to be a suitable partner.
The Danish Defence implemented automated robot technology
The Danish Defence wished to build experiences within automated robot technology. emagine helped develop the method and governance for automation.
Expediting App & Frontend Development while improving team performance
A global software solutions provider recognised the need to improve their capabilities and scalability while aiming to boost team performance and dynamics.
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Insights
Exploring AI’s capability for app development
Software developer & emagineer explores the possibilities of building an application prototype with Chat GPT in this step-by-step guide.
Different approaches to generating front-end code
From simplifying HTTP requests to optimizing data mapping, front-end developer and emagineer Kamil Naja discusses the different approaches to generating front-end code.
On-demand webinar: Intelligent Automation & Advanced Analytics
Dive deep into the dynamic duo of Intelligent Automation and Advanced Analytics. Discover how they work hand-in-hand to streamline data processing, extract profound insights, and drive impactful business actions.
Microsoft Dev Box
Join emagineer and software architect Mateusz Pruchniak as he explores Microsoft Dev Box, virtualized solution that enables IT engineers to quickly launch self-service workstations while maintaining centralized management.
On-demand webinar: From Data to Decisions – How Intelligent Automation & Analytics Drive Results
On-demand webinar for attendees:
We dive deep into the dynamic duo of Intelligent Automation and Advanced Analytics. Discover how they work hand-in-hand to streamline data processing, extract profound insights, and drive impactful business actions. The topics will include real-life case studies, expert insights, and the latest trends.
The Future of AI
We constantly hear that AI will take control of everything and that we as humans will become less necessary or even redundant—is that really the case? In the following article, Cloud Administrator and emagineer Paweł Pancerz discusses how this revolution will unfold in the near future.
Voice recognition in vehicles
How does voice recognition function in vehicles, and what technologies and expertise drive its success? Let’s delve into the future by exploring what goes on behind the cockpit.
Effective ways to work with Backend
In the realm of front-end solutions, the vital role of back-end applications cannot be overstated. In this article, emagineer Kamil Naja delves into the world of backend development, uncovering effective methods to optimize the process.
Machine Learning Algorithm: Logistic Regression
Logistic Regression is a Linear Model for classification; a traditional linear model is used to predict a numerical value. Learn how logistic Regression works and how it differs from Linear Regression.
Invite webinar: Empower Transitions: Cultivating a Knowledge-Sharing Culture in IT
Join us in this webinar as we delve into the intricacies of IT transitions, spotlighting the key players: the customer, the outgoing vendor, and the incoming vendor.
How to leverage Robotic Process Automation (RPA) to drive business growth
Automation and RPA is on the rise as businesses vie to remain competitive. Understand the factors driving this trend as companies work to stay ahead of the curve.
The role of artificial intelligence is transforming the banking industry
Artificial intelligence (AI) is revolutionising the banking industry by transforming how banks operate, interact with their customers, and influence decisions. A key benefit often discussed is the noteworthy cost savings leveraged by AI tools, but what are the others?
Example of non-Linear Machine Learning Algorithms: Decision Trees
In this blog, I give a simple overview and an example of a non-linear Algorithm, Decision Trees, how they work and how they are created. Part of the Machine Learning Blog Series.
Machine Learning Algorithm: Linear Regression
Linear regression is one of the most popular algorithms in both Statistics and Machine Learning. It is the simplest type of Machine Learning Algorithm. This means that it is a good place to start. In this blog, Allan Lehane is going to explain how ML Algorithms work in general using Linear Regression as an example.
The Complete Guide to Migrating Monolithic Applications to Microservices on the Cloud
As organizations strive to deliver high-quality software and services at scale, many are turning to a microservices architecture as a way to break down monolithic applications into smaller, more manageable components.
Creating a full stack application with a Machine Learning Component hosted on Microsoft’s Azure Platform
In this article we are going to discuss how a Machine Learning algorithm works in theory and I’m also going to discuss an example of a full stack application with a Machine Learning Component, which is hosted on Microsoft Azure.