All Case Studies Design Development Interviews Machine Learning Project Management
I have recently stumbled upon an article reporting that Facebook is using Artificial Intelligence to fight “revenge porn” - a phenomenon of sharing intimate photos on social networks without people’s permission. This is one of the downsides of the development of new technologies and social networks. This great TED talk from one of the victims explains why it is a serious problem that needs strong measures.
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Machine learning brings a wide range of new possibilities to nearly all industries. A number of tasks that can be automated or improved with machine learning-based algorithms is growing day to day. Let’s dive deeper and try to establish factors that enable a specific task to be improved with ML, so we can understand better how your business and processes can leverage artificial intelligence.
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AI-driven UX design is one of the hottest trends for 2019. That said, product designers are not among the jobs and specializations expected to be replaced by robots soon. After all, coming up with the right product idea and executing it is a complex process that combines creativity and advanced analytics.
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AI and machine learning have moved from the fringes to the very centre of the technology debate. But which industry has the huge datasets, along with the capital and staffing resources, to make the most of AI? As recently reported by both PwC and Gartner, it is the financial sector.
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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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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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