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The age of generic services is dropping off. Today's customers expect more, and they want you to produce software tailored to their needs. This can be done with machine learning. Its solutions are a revolution happening right before our eyes, and those late to the party might find themselves at a huge disadvantage.
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Since many businesses want to make use of AI in order to scale up or take their start-up off the ground, it is crucial to realize one thing: the technology they choose to work with must be paired with an adequate deep learning framework, especially because each framework serves a different purpose. Finding that perfect fit is essential in terms of smooth and fast business development, as well as successful deployment.
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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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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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Although scientists, engineers, and business mavens agree we might have finally entered the golden age of artificial intelligence you have to be ready to face much more challenges than you think when planning a machine learning project. Entrepreneurs, designers, and managers tend to overestimate the present capabilities of machine learning. They expect the algorithms to learn quickly and deliver precise predictions to complex queries. They expect wizardry. 
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Machine learning is one of the strongest trends in today's tech scene. A recent survey revealed that 61% of organizations picked machine learning as their most critical data initiative for 2018.
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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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