All Case Studies Design Development Interviews Machine Learning Project Management
Access to capital? Naaah. Corporate tax rates? No biggie. The biggest concern facing the C-suite is finding access to skilled software developers and engineers.
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Machine learning is one of the hottest topics in the world of technology. It makes sense then that so many companies are analysing whether they can benefit from it. Should you decide to enhance your business with ML, the question of finding a suitable team will arise immediately. Which is better: building an in-house machine learning team or outsourcing your needs to an industry specialist? You will need to think about many aspects before making a commitment to either option. Read on to see our take on whether you should go for an in-house or an outsourced ML team.
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After all the scandal caused by Cambridge Analytica and considering the role Facebook had in it, people went crazy about the personal information companies are collecting about them. Many users revoked permissions from applications or removed applications that they’re not using.
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Social media plays an increasing part in purchase decisions. A new survey by Curalate found that 76% of US consumers buy products that they discovered on social media. This highlights the importance of peer relations in the buyer's journey. Consumers, especially the younger generations, want to shop for products recommended by their friends and users who have similar style. The problem is that there is no single platform that would offer a great user experience from product discovery to the check-out. This up-and-coming startup is about to change it.
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It looks so easy now. Netguru is growing at an accelerating pace (we will soon onboard our 500th employee), boosting its international footprint across banking, healthcare, retail, property, and travel industries. The growth is fuelled by trust from a whole bunch of customers - from startup founders to large corporations.
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Who poses the biggest threat to fintech? How to focus on building products that people love to use daily? Is it possible to be an incumbent bank and a new bank at the same time? Will the future landscape of banking consist of only a handful of banks, and a few fintechs accompanied by Amazon, Apple, Facebook and Google?
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With the increasing popularity of User Experience as an essential part of the design process, many people are trying to learn how to create great User Experience and become UX specialists. Additionally, many organizations try to make it in the education business, and sell knowledge in this area. You should look carefully at the educational offer and choose only those courses that will provide maximum value. It's not only the matter of the time spent and the quality of knowledge, but also the money invested.
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Netguru is 10 years old! We’re celebrating our birthday at the Web Summit Conference in Lisbon. Come and join us on November 6-8, 2018. Before we meet, we’d like to invite you to take a quick look at these ‘10 numbers for 10 years’ to see how we’ve changed from a small software shop to an international consulting agency:
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Mobile app security issue Nowadays, with the growing popularity of smartphones, almost everybody uses mobile applications, but hardly anyone thinks of their security while using them. At the same time, when developing a system everyone's focusing on the back-end security, but rarely on securing mobile apps. We just take security for granted, relying on the back-end, where there may be vulnerabilities as well.
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When it comes to the world of fintechs - as well as numerous other startups - few accelerators are as well known and renowned as Level39. Founding a startup is no easy challenge, and the expertise and support accelerators provide is often essential.
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Smart homes are becoming more and more popular. In 2017 there were about 41.2 million smart home devices in the US alone, and that number is growing rapidly. It’s clear that the smart home is not something just for eccentrics anymore, but an improvement that everybody can take advantage of.
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Chatbots, from smart home assistants to automatic bank assistants, have become a very common way to quickly respond to users’ questions and needs. Their main benefit is that they help businesses scale effectively and support customer service with no harm to the user experience. Implementing a chatbot into your customer communication strategy can save you time and money. They have some limitations too - most of which result from the fact that they simply are not human. Let’s look at DialogFlow - a great solution for all your chatbot needs.
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At Netguru, our biggest asset is the talent. On a day-to-day basis, Netguru’s professionals are busy delivering top-notch products to companies from all around the globe. In their spare time they travel the world to share their experience. Piotr Śliwa, Senior UX Designer, spoke at four UXDX Europe conferences; Marek Talarczyk, COO at Netguru, presented at Dreamforce 17 conference in San Francisco, and Bruno Mańczak, QA Manager, has just got back from IP EXPO London, where he spoke about “crimes against testability”. We aim to give even more to external communities. But we also decided to create a space for the team where they could share knowledge with other workmates. That’s how our very first internal conference, Netguru Tech Talks, came to be.
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How to create a fintech product that people will use daily? To get an answer to this question, we invited the top experts from the fintech industry – Revolut, Starling Bank, Funding Circle, Monese, Tide, and OakNorth – to our Disruption Forum. To spice our event up, we've also invited Lloyds Banking to take part in the discussion.
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Some time ago I talked with my colleague Mateusz Jankowski, who is a Senior UI designer. I was telling him that I’m going to write a post about the truth of working as UI designer. The deeper you dig, the darker it gets, but maybe there’s one specific term that describes your daily duties? - I asked. His answer made me cry with laughter - sure, it’s like a visual OCD (obsessive-compulsive disorder). Well, it’s hard to disagree. But it’s just the tip of an iceberg.
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It’s no secret that big data and advanced analytics are changing the face of the business world. Insights gained from big data are revolutionising foundational business processes such as sales and marketing, supply chain management, and R&D; giving companies the information they need to increase revenues, reduce costs, and improve customer experience.
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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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Blog About Startups, Web Development and Mobile Development (23)