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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...

It is impossible to imagine effective business development without information technologies and systems in the modern world. Today, the IT market is considered one of the fastest-growing and progressive segments. Therefore, competent management of projects and departments in the IT-sphere comes to the fore. CTO, CIO and CEO in IT companies are senior positions.

Sooner or later, each company searches for efficient low-code solutions aimed at improving the existing system. And because of numerous programming products available in the IT market, it’s easier said than done. In this post, we’ll dwell on the migrating challenges and significant steps to completing data migration. But first, let’s start by clarifying the concept.

Web products and mobile apps have grown exponentially, so it seems like the end of Custom macOS X Application Development is upon us. In fact, desktop solutions can boast a higher degree of privacy. That’s because you have all the essential data stored on your device. And beyond that, desktop applications are still more suitable for factory floors or large warehouses without reliable internet zones.

Artificial intelligence technologies can change any industry of everyday life. Today, the principle of AI is to combine a large amount of data with the capabilities of fast, iterative processing and intelligent algorithms. First of all, the use of AI in marketing is aimed at increasing sales by better studying the needs and customer orientation. The use of AI in business is critical to the success of any startup.

With the era of public/private 5G, cloud, and remote working, mobile data protection has taken on new relevance. Security leaders and experienced developers contend with a growing variety of challenges, as cybercriminals are targeting mobile users more actively than ever before. In addition, security researchers claim that both Android and iOS apps are still unsafe.

A multitude of companies are optimizing their technological solutions to provide clients with a consistent and customer-centric shopping experience Fears surrounding offline shopping have become the turning point from which the e-commerce era flourishes. So it’s fair to say that COVID 19 has encouraged business owners to explore technology trends in retail and boost online sales 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? Given the nature of the technology, mistakes in the work can not be avoided. The PNN Soft decided to look into this issue.