Technologies

Let’s unveil how to build a centralized request management system and solve the problem of inefficient request processing using Artificial Intelligence.

Let's look at the interface design challenges where experts are increasingly using AI, and speculate about whether AI helps achieve a new level of individuality in the creation of digital products, and also whether it can compete with UX/UI designers.

The MLOps concept helps optimize and automate AI/ML infrastructure maintenance, saving resources. Let’s break down the benefits and functionality of this approach, and observe the industries where it shows the greatest effectiveness.

Go is a fairly common and popular language. It has easy syntax and good performance. Recently we have compared it with Kotlin and Java, and now we are sharing the results with you.

Intelligent systems in e-commerce and retail can improve all key business processes, including sales management, production and logistics, customer communications (including work with customer loyalty and retention) and HR management. Here’s a look at some of these areas.

Marketplaces pick out products for customers that perfectly meet their needs, and streaming services create personalized music and video compilations. This is possible thanks to recommendation systems. Let’s unveil how to develop one.

Spring Framework has a lot of advantages when it is used for building Enterprise applications, but it may also have some disadvantages. For example, it can appear somewhat complicated, and it also consumes a lot of CPU resources. In this article we compare Spring with Mic...

For many years now, digitalization has been one of the most significant components of company development in various fields. The shipping industry is no exception. In this area, digital transformation is an important and big step towards improving the quality of transport...

In games in most cases you are faced with a lot of instantiations and disposes of objects but when you reach some amount of instantiations every second performance can degrade dramatically.

Companies have been accumulating data and customer information for years, but extraction of value from large amounts of data still remains the greatest challenge. Artificial Intelligence (AI) and Machine Learning (ML) specifically allow you to get the most out of your dat...

In 2020 the increasing demand for online services resulted in the explosive growth of the expenses for software maintenance. After monthly cloud consumption in myQuiz, our own.NET application, jumped from $4,400 to $11,000, we faced the challenge of speeding up the deliv...

In this article, we will shed light on the not so obvious ways to reduce costs in a well-established infrastructure, and the proper management of business process optimization, as well as share the reasons why you actually need Azure Kubernetes Service and multi-cloud.

Today we’d like to talk about the Wave.Integrate solution, and integration challenges it can help with. In our previous article on the same topic, Data integration and migration platform: tasks and opportunities, we already discussed some of its abilities and told more ab...