Interpretable AI is a top research area in Deep Learning, as we strive to make technology-driven decisions more trustworthy, especially helpful with security and finance as well as self-driving cars.

Deep Learning is still hard, even for experts. In the next five years, even non-technical users like marketers or salespeople will be using deep learning to automate business processes.

By applying Deep Learning models to Data Science, it’s now possible to transform marketing, fraud protection and customer service by identifying behavior patterns not pre-determined by humans.

Deep learning incorporates predictive modeling by deciding outcomes. Going beyond simple recognition, it raises classifiers of data from a well-built, detail-oriented data set to another layer by specific task-oriented algorithms.

Deep learning provides high value to customers with ample supply of standardized data. Successful solutions will demonstrate value in specific niches that can provide such data, such as visual profiling from security cameras.

General purpose AI will fall in popularity as more concentrated AI models outperform them in specific use cases and industries. Instead of a few behemoth AI models, we’ll see hundreds.

Deep learning powered digital pathology tools will soon be able to activate digital slides to address problems in the clinic, create opportunities for translational research and data licensing, and inform disease prognosis and therapeutic plans.

Deep-learning based AI provides superior, more accurate prediction algorithms that can tackle complex problems. But, we need to remember that the efficacy of deep learning algorithms depends on high quality training data-sets.

Deep learning AI is helping produce a wealth of over-the-counter data tools designed to be easily understood without expert help. This trend will continue with B2B applications.

Today deep learning can support physicians in both diagnosing and documenting patients. Training on data at leading hospitals enables AI to provide every physician with world-class support for every patient.

Deep learning will revolutionize healthcare within a decade – it is single-handedly the most powerful toolkit ever seen that allows us to leverage huge data-sets to make unparalleled discoveries.

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