When it comes to software development, selecting the right architecture should be a vital part of the planning phase, as it lays a strong foundation for almost every project. However, this step is often ignored, especially in mobile app development, where choosing the right architecture can be tricky - for various reasons. But a lack of good architecture may lead to some serious issues during the development process... So you really have to implement one, and you have to do it right — both in order to avoid potential problems that may arise and to speed up the entire development process.
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The Business Direction of Ruby on Rails Framework - a Revolution or an Evolution?
Michał Poczwardowski
In spring 2019 the version 6.0 will arrive. It triggered a reflection on the direction of Rails. The sixth version is on the horizon with changes that are exciting but also safe for business – a lot has changed since version 1.0. Version 1.0 was released in December 2005. The Rails core team is aligned with the business needs on the market better than ever. What does it mean in practice and what does it mean for the future of creating digital products?
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Audio classification is one of the most common and most explored tasks in the field of audio processing. It’s the foundation of many apps that enable users to automatically identify artists, instruments, or simply recognize someone’s voice. How does the algorithm work in practice? We had a chance to implement audio processing with machine learning on iOS and Android mobile devices. See how our journey went.
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Exporting your designs with Zeplin is nothing particularly difficult. Once someone shows you the right way to do it, you will be a master. Therefore, I am happy to present you with the proper way of handling the handover. After reading this article you will know everything about Zeplin. Without any further ado, let’s get started!
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Increasing the Accuracy of the Machine Learning Model in the CarLens Mobile App
Anna-Mariia Shkarlinska
25,000 analyzed photos, 10 more weeks, 6 new Machine Learning models, and even more hard work of development teams, topped with AR engines and Machine Learning technology. That's our recipe for improving our Machine Learning model! Welcome to the second part of our journey with CarLens, where we are going through all the methods that we used for improving our Machine Learning model. How did the model’s performance change? Read on to see our results with detailed charts. In case you missed the first one, make sure you read this article too.
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An investing robo-advisor managing $15bn in assets, a challenger bank for teens, and a credit card without any fees accessible to people without credit history - we present the 10 hottest fintech companies from NYC right now. New York City isn’t the greatest city in the world for Jeff Bezos but it definitely is for a vast array of fintech companies that run their operations in the Great Apple. Close proximity to one of the most important stock markets on Earth makes New York City a treat for them, for sure.
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How to Transform a 300-Year-Old Bank? Meet Dan Makoski, the Silicon Valley Exec on a Mission to Redesign Lloyds Banking Group
Tomasz Grynkiewicz
How to win in the financial world with the fintech expansion in full bloom? One of the largest UK banks decided to pull out the biggest guns - Lloyds Banking Group is investing more than £3bn in transforming the company and scouting talent from the digital world.
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Uber for machine learning, the ultimate case law database, and AI assistant that will solve the worst nightmare of every workplace - meet the top 10 NYC startups that originated at Work-Bench.
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NYC and US Fintech Scene From the Backstage. Learn Key Takeaways from Our Disruption Forum Fintech
Tomasz Grynkiewicz
How about a fintech evening in the heart of NYC, one of the strongest fintech hubs in the world? What started as a mere thought ended up being the most successful event in our Disruption Forum series - with over 200 attendees that joined Netguru in Manhattan to hear tips from executives of top fintech companies.
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Have you ever wondered what steps you should take first to dive deep into the Machine Learning world? You can consider various scenarios – including academia classes, online tutorials, and reading books. All of these approaches have their special benefits and may help you become an AI Engineer. On the other hand, it is often said that the learning process is at its best when done hands-on.
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