The AI-powered solutions have a massive potential in healthcare. Computers equipped with software based on convolutional neural networks are better at detecting skin cancer than experienced dermatologists, and Deep Learning beats radiologists in diagnosing pneumonia.
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The final success of each and every business or project comes down to selling. It has always been like this, but nowadays - when we’re able to get ahold of massive amounts of data about our customers - it is just easier to focus on building relationships with them, and then make the most of this in terms of sales.
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Today’s web and app users demand personalized experiences. They expect the apps, news sites, social networks, and online stores they engage with to remember who they are and what they’re interested in, and make relevant, individualized, and accurate recommendations for new content and new products based on their previous activities. Any app or website that fails to deliver on these demands will quickly see its users flocking out the digital door.
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Artificial Intelligence (AI) can bring more benefits to healthcare than to any other industry. However, until recently the progress here has been slower than in other fields - such as finance or e-commerce. Luckily, this has changed lately. With significant investments, we can see an outburst of machine learning applications that should lead to medical revolutions in many fields.
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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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Fraud Detection with Machine Learning: How Banks and Financial Institutions Leverage AI
Michał Dyzma
The financial services sector is on the eve of a major transformation, and the driving force behind it is AI. Innovative applications for AI have already been found across areas such as credit scoring, regulatory compliance, customer experience, and portfolio management. Thanks to rapid advancements in technology, tasks that once took employees hours to complete manually, can now be done in a matter of seconds.
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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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There is one undeniable statement you can make about the Artificial Intelligence and Machine Learning industry. Even if the ground basics were discovered years ago, the community is experiencing a „second life” now. In fact, that might be easily noticed by attending one of the existing Data Science Conferences in Europe this year. The topics are becoming more and more popular. On the other hand, new studies, methods, and approaches are showing up constantly. That is why the conferences are even more successful each year, with the numbers of participants and speakers breaking records.
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