Years ago, it was perfectly plausible for a company to have a great product, a persuasive marketing team, and ride high in its industry without fear of being toppled by a younger, smaller rival. In the digital era, however, new technologies are rapidly changing the business landscape, and organizations are turning to digital transformation as they look for ways to remain competitive.
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Since many businesses want to make use of AI in order to scale up or take their start-up off the ground, it is crucial to realize one thing: the technology they choose to work with must be paired with an adequate deep learning framework, especially because each framework serves a different purpose. Finding that perfect fit is essential in terms of smooth and fast business development, as well as successful deployment.
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Machine Learning is a trending field of Computer Science turning computer’s computations into usable data and giving a number of unique opportunities. It’s rapidly gaining in popularity – it’s common in modern web application as well as in services such as Netflix, Spotify, Amazon and Facebook. Machine Learning is a good solution for apps based on recommendations or some kind of predictions. If you want to build this kind of app you will need an efficient backend technology to support it – is Ruby on Rails the right choice?
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Ruby on Rails and Django are both perfect frameworks for web development – but how do you choose one over the other? The things that they have in common range from programming language similarities (Ruby for Rails and Python for Django), both are object-oriented and dynamically-typed and their performance, which is specific for each project. If you are trying to decide between the two, both Django and Rails are great choices – here are some things to consider that will help you make the right choice.
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You are about to learn everything you need to know about building software fast using Ruby on Rails. Lead time (in terms of Lean Management) is a crucial KPI which might decide if a startup succeeds or not. Audience feedback and the first revenue (however low) is essential for new companies – creating a prototype which allows validating your idea quickly is crucial. This enables you to take the right direction for further development. That’s why the speed of software development is really important – less time spent on coding means a faster user feedback cycle and smaller development costs.
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Mobile apps are a very important part of our everyday life. We use them to stay informed, to connect with our friends and family, and for entertainment. According to Statista, there are over 2.7 billion smartphone users in the world. We use our phones for most of the day and 90% of this mobile time is spent using various apps.
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Whether your company is large or small, designing and building multiple digital products is always challenging. Uniting designers and product teams can be tricky, and as a result, many organizations struggle to deliver a cohesive, consistent experience across the user journey.
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Serverless computing is a hot topic in software architecture – but is it just another overhyped tech-buzzword? Or maybe this newcomer in the IT world is bringing with it a world of change. In this article we explain ‘serverless’ and answer the most important questions:
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Pros and Cons of the Kotlin Programming Language for Developing Android Apps (UPDATED)
Gabriel Samojło
On 17 May 2017, Google announced their first-class support for Kotlin, which means that Kotlin became an official language for Android app development. Since then, JetBrains proved that Kotlin can also be successfully used for writing iOS apps – the official app of KotlinConf 2017 was built entirely in Kotlin and supported iOS, Android, as well as most browsers via its web app.
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