Now big companies are knee-deep in data overload, and data keeps coming from everything. That's why business intelligence software tools are all the rage. First off, the Internet of things has connected everything, starting from appliances and vehicles to cities and economies. Artificial intelligence also takes advantage of data to automate processes that we still associate with human interaction

An IDC study claims that employees spend up to 30% of a workday searching for necessary information. Consequently, companies’ total productivity decreases by 21 %. So if you find yourself distracted by the sheer volume of disorganized data, you are not alone. It makes a lot of sense to create an enterprise content management system that is key to optimizing working processes...

Over 90% of global data was created in the last two years, which proves the huge demand for big data analytics systems. Despite this fact, only 27% of entrepreneurs consider their big data practices a successful initiative. So what conclusions can be drawn from these statistics? First and foremost, there’s a significant gap between a theoretical understanding of big data concepts and putting the ideas into practice.

Machine learning solutions are already being implemented in our daily lives, making it much easier. Consequently, there is a growing demand for artificial intelligence platforms provided as a service. Machine learning IT solutions are applicable in various fields of activity, which is facilitated by the rapid growth of organizations and the active development of the computing infrastructure.

Although effective cloud solutions remain highly sought after, the potential of cloud computing is still quite limited. Therefore clients and market leaders are beginning to realize that there isn’t much growth left in the cloud. But what makes edge computing an exponentially more advanced option nowadays? And why do a multitude of cloud opportunities lie at the edge sometimes?

Modern technologies and additional services allow business companies to set up communication with customers much more effectively. The development and support of software products are quite labor-intensive.

Reliable software for the banking industry is an urgent necessity concerning online-transactions, managing funds, and ensuring high-quality interaction with clients. Yet this list of advantages remains incomplete without other features. Up-to-date solutions also help business, retail, investment, or corporate banks to comply with the industry regulations, attract potential customers, monitor cash flows, and track clients’ satisfaction.

According to Accenture, around 94% of healthcare executives reported that integrating intelligent automation solutions had accelerated dramatically over the past three years. All because AI and RPA are valuable tools for managing patient-related data, improving customer experience, and optimizing the supply chain. For the biggest industry players, the above-mentioned actions are keys for ensuring their failproof execution.

Mid-sized businesses tend to have comparatively small budgets for IT support that is equal to larger enterprises’ information systems. That’s why an in-house development often seems to be unaffordable. But can IT outsourcing services help your company to save funds and stay up to date on the latest solutions? How does this model operate? First of all, vendors already have the latest software and hardware...