All Case Studies Design Development Interviews Machine Learning Project Management
The telecommunications industry is riding high on the waves of the tech revolution and digital transformation. Their business is doing so well that, unlike in many other sectors, Artificial Intelligence (AI) and Machine Learning (ML) is more of a solution to their problems than a challenge. Telecoms are not far behind such big tech companies as Google, Amazon, or Microsoft and could use the 5G transition as an opportunity to cut the distance.
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With artificial intelligence becoming smarter and smarter, the interest in NLP (natural language processing) has also been growing rapidly. Utilizing and developing the technology that helps machines understand and process human language has become a hot topic in many industries, because it has the potential to finally fill the gap in human-computer interactions.
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In the machine vision area, image recognition refers to the ability of software to identify people, objects, places, or actions in images. Machine vision technologies combine device cameras and  artificial intelligence algorithms to achieve accurate image recognition to guide autonomous robots and vehicles or perform other tasks (for example, searching image content).
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Machine Learning algorithms are being used more often than we can imagine and there is a good reason for that. Let's see what kind of different Machine Learning algorithms exist and how they can help us in solving everyday life problems.
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Heavily illustrated websites and apps are quite common nowadays, no matter the industry, but not too long ago that wasn’t the case. Some of the world’s smartest companies have bet on illustrations early on, gracing their digital products and accompanying marketing pages with tiny artworks, and today they are reaping the rewards. They’ve sparked a worldwide trend in digital design, which others have been trying to catch up to ever since. I believe that the storytelling element of illustrations is crucial to their effectiveness. In this article, I’m going to share some insights on how Dropbox, Uber and Slack – world-renowned leaders in their industries – have increased conversion rates through illustration.
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After managing software development projects for some time, you may find it surprising how design projects can differ from them. In this article, you will find five important tips on how to survive and succeed. If you have any doubts about their usefulness – it is not only the Project Manager’s point of view, the tips gathered are the essence of my conversations with designers as well.
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Global e-commerce sales have exceeded $2 trillion, and they are going to double by 2020. That said, there's no surprise in saying that e-commerce is one of the most optimized tech sectors. Still in this ultra-optimized sector, only three years ago, Tobias Buxhoidt, Anton Eder, and Julian Krenge found yet another way to improve customer experience and increase online stores' revenues and retention rate.
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Fintech continues to be one of the most exciting sectors for growth and innovation. However, when it comes to software development, due to the complexity of building robust and secure applications that are compliant with stringent financial industry regulations yet still provide a seamless, highly functional, and beautiful user experience, it’s crucial that the right tools are used for the job.
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How the quarter flies! Since this year, it became a sort of a habit that at the very last week of each Q I put my headphones on, turn off Slack, and dive into hundreds of transcripts of earnings calls. What for? I look for any meaningful references to fintech. Why? Because at Netguru, beyond developing and designing fintech apps and solutions (API, backend, frontend, SEPA, you name it), we are always keen to see the broader picture.
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A huge amount of a developer’s daily work is debugging. It’s the thing that makes this job really annoying, however on the other hand, resolving an issue and making something work is such an amazing feeling that being a developer is still worth it.
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