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The fields of Artificial Intelligence and Machine Learning have opened up brand new opportunities for your project. Predicting patterns in your business domain can save time and money and make your business more effective. 
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Including machine learning (ML) capabilities can add a lot of value to your product. Today’s customers expect applications to be tailored to their precise needs, and machine learning is increasingly becoming the go-to solution.
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Chatbots are all the rage right now, and they're not going anywhere. Consumers expect to interact with brands with the help of many different channels, and chat is one of them. But chat-based communication presents companies with a brand new challenge: speed.
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Together with the rise of user-based insurance (UBI) policies, telematics is one of the digital innovations bound to have a massive impact on the insurance industry.
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A well-organized supply chain has always been a powerful source of competitive advantage. It's even more so in today's interconnected economy. With the development of Artificial Intelligence (AI) solutions, logistics departments can solve complex optimization problems, cutting forecasting errors by half and reducing losses in sales caused by product unavailability by up to 65%, according to a recent paper by McKinsey Global Institute.
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In healthcare, getting the diagnosis right – and getting it in time – is key to any successful treatment. It’s a matter of utmost importance, as revealed in the research on postmortem examinations: diagnostic errors are responsible for about 10% of patient deaths in total. The study also suggests that these errors contribute to 6-17% of all adverse events in hospitals.
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The life of a sales rep? Lead generation, profiling and scoring - sales representatives spend the majority of their time on repetitive and time-consuming tasks. Time, in a way, wasted. Instead, they should be focusing on building genuine relationships with prospects and cutting deals.
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Skin cancer is the most common form of malignancy that affects human populations all over the world. In the US, more people are diagnosed with skin cancer each year than with all other cancer types combined. The mortality rates from melanoma skin cancer have risen by 156% in the UK.
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AI and the big data revolution have already made a huge impact in sectors such as retail, healthcare, education, and autonomous driving. Now, manufacturing is experiencing rapid transformation thanks to a combination of AI and advanced technologies like the Internet of Things.
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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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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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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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One of the major European banks has recently admitted that it has failed to spot money laundering in its books for years. As a result, the bank has agreed to pay $900 million in a settlement with prosecutors. While it was a man (the CFO) who stepped down for this negligence, would a machine (Machine Learning) be a better guardian to prevent such situations in the future?
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Machine learning is undoubtedly one of the hottest topics in software development right now. And for good reason. Machine learning opens up a whole world of new possibilities for developers, exciting app owners and end users alike. From greater personalisation to smarter recommendations, improved search functions, intelligent assistants, and applications that can see, hear, and react – machine learning can improve an app and the experience of using it in all manner of ways.
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For a start, lawyers are nowhere near the top of the list of the jobs most likely to be automated in the nearest future. The popular site willrobotstakemyjob.com estimates the chance to be as low as 4%, which is notably low when compared to the chances of the same happening to other professionals.
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10,923 analysed photos, 10 weeks, and hard work of design and development teams, topped with AR engines and Machine Learning technology. That's our recipe for building a precise algorithm that will detect 5 car models using your smartphone’s camera. Here's more on our journey to create a fun tool with cutting-edge solutions.
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Blog About Startups, Web Development and Mobile Development | Machine Learning (3)