Deep Learning APIs, a Real-Time Solution for Real-World Data Discovery and Analytics

By CIOReview | Friday, October 23, 2015
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FREMONT, CA:  Making processes more powerful, the technology of ‘Deep Learning’ is making greater impacts with its innovative techniques in the last decade. Eliminating the challenges put forth by unstructured data, deep learning API solutions transform real time data analysis.  According to the definition given by Aaron Chavez, Chief Scientist of AlchemyAPI, the general idea of deep learning is to use neural networks to build multiple layers of abstraction to solve a complex semantic problem. AlchemyAPI develops cognitive applications through text analysis and deep learning. The company was recently acquired by IBM to bring deep learning to Watson.

Deep learning in simple terms is a new area of machine learning that works to improve things like computer vision and natural language processing to solve unstructured data challenge explains Janet Wagner, writer in a publication for AlchemyAPI. A recent study made by IBM claims that approximately 2.5 exabytes of data are being created every day. Along the same lines, International Data Corporation, a market research, analysis and advisory firm estimates that by 2020 around 40 zettabytes of data will be generated every day.  Here is where the deep learning system comes to aid as it gives organizations the power to derive insights and transform real-time data analysis from unstructured data.

Rooted in traditional neural networks that trace back to the late nineteen-fifties, deep learning excels in dealing with unsupervised data.  Unsupervised learning being a key term in this technology is the process of extracting information from the bulk unstructured data as it holds the capability to cluster data to understand patterns. This helps the organization to make the best out of hidden or grouped data.

Mackenzie Sedlak, IBM Watson Developer in an article for ProgrammableWeb highlights below mentioned real world examples pertaining to deep learning.

Advertising: Deep learning helps d networks and publishers to create data driven predictive advertising, real-time bidding advertising, precisely targeted display advertising, and more.

Recommendation Engines: This tool allows algorithm developers to predict what a user may or may not like among a list of given items. Netflix is a great example of a recommendation engine based on deep learning as it recommends two third of its movies using this technology.

Image Recognition / Face Detection: It detects faces, identifies demographic information like age and gender, and can even recognize certain celebrity faces. Seamless classification and analysis of pictures is now possible with recent developments in deep learning technology, a self learning system that can automatically learn to classify images based on examples.

Voice Search / Voice-Activated Assistants: One among the most popular deep learning APIs, voice-activated intelligent assistants found on almost all smartphones.

Pattern Recognition: Pattern recognition allows companies to supervise and process mass amount of data from detecting data anomalies for fraud prevention to discovering subtle patterns that characterize disease profiles for diagnosing complicated diseases. Deep learning captures more abstract patterns concealed in data.

Image Tagging / Image Search: The Image tagging APIs identify and categorizes variety of objects captured in images such as buildings, nature scenes, and more. Shutterstock is one clear example for this.

Most of the big players involved in tech industry are already doing their best in terms of research and innovation in the field of deep learning APIs. AlchemyAPI’s AlchemyVision, AYLIEN’s Image Tagging API, Clarifai’s Image and Video Recognition, IBM Watson’s Visual Recognition Service, MetaMind Vision, Microsoft’s Project Oxford, Wolfram’s Language Image Identification Project are some of the deep learning-based computer vision technology and/or providing image recognition solutions with automatic photo tagging and classification options.Gradually, it is expected by experts to witness immense breakthroughs in artificial intelligence with deep learning.