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China earned its reputation for copying, but it would be naive to let this “can’t innovate” myth persist. “You can no longer lose sight of what is happening in the East”, warns one of the largest consulting companies. And this is especially true for the financial and insurance industry. China, with almost 800 million Internet users, propitious regulators, and behemoths such as Alibaba or Tencent, is quickly becoming the world's largest innovation incubator. To crack the Chinese secret code, I spoke to Mikołaj Bołtuć and Marcin Nedwidek of the Boston Consulting Group (BCG).
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Machine learning applications can bring you more clients, increase sales and reduce business costs. However, if not used properly, they may lead to customer outflow, money loss and reputation damage. When should you use ML in your business and when is it better to stick with traditional computing methods?
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Several years of UX experience - in core-banking in a global bank and the fintech industry in both London and Poland - led me to create this list. The entries below are absolute must-haves when it comes to fintech products.
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Take 200 square meters. Throw in some wood, moss, and stone. Add brand new top-notch cars. Now cook it. Finally, season it all with five-star customer experience. Ready to serve.
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Before hiring somebody for an engineering position or building an in-house dev team, you need to double-check a number of things. The following checklist is based on our 8 years of expertise in recruitment, onboarding and offboarding software developers. These are the best market practices and battle-tested solutions, which will help you build a successful development team.
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Starting an iOS project involves making a key decision: choosing the language for the development. When it comes to native mobile app development, there are two possibilities: Objective-C and Swift. What are the differences between them? What are pros and cons of each one? And, finally, which language will be better for your project?
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Machine learning models help businesses understand their data better, make more accurate predictions, and accelerate insights across the entire organisation. Amazon, Google, IBM, and Microsoft are the four largest players on the cloud scene, and they have all recently added some machine learning tools to help businesses take advantage of machine learning models for handling their data. But which solution is the right one for your business?
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Interactive product catalogues, holographic monsters and learning aids for medical students. Take a look at some Augmented Reality apps worth your while.
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When your company identification has aged a bit (or if it was never a good fit to begin with), when your website doesn’t communicate what your business is all about, when the visual communication with your customers is not cohesive - it might be time to do a redesign.
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