Businesses Adopt Deep Learning Solutions
Businesses Adopt Deep Learning Solutions

Deep learning technology has become transformative for a wide range of business verticals offering the ability to analyze highly dark data and foresee the outcome with speed and precision never seen before. Today’s organizations used deep learning tools successfully to improve efficiencies and reduce costs by automating processes. Although 85% of C-level executives currently believe AI-powered technologies especially deep learning could help their company gain a significant competitive advantage, only about 10% are actually utilizing this technology in their businesses. Should companies invest in deep learning technology? Let’s find out!

How can businesses benefit from deep learning solutions?

Today, there are more deep learning applications than ever: speech or gesture recognition, documents and images analysis, real-time speech translation, etc. Here we have provided the most popular of them:

Pharmaceutical research and medical treatment

With DL solutions, scientists can discover new kinds of medicine by combining data from a variety of sources. Atomwise, AI-powered startup, applies DL-powered algorithms to resolve the drug discovery issue as well as test drugs for use against new diseases. Another example Bay Labs, a healthcare startup, utilizes deep learning to medical imaging to help diagnose heart diseases, cardiovascular diseases by improving access, value, and quality of medical imaging.

Pattern recognition

Data analysis is a time-consuming and tedious process. With deep learning tools, recognizing patterns is much more simple and fast. It allows organizations to monitor and handle terabytes of data. An example is Enlitic, which uses deep learning task-specific solution to process X-rays and other medical images to help doctors detect and treat various diseases. Also, doctors can diagnose early-stage diseases, plans treatment and control.


Cyber threats continue to evolve, more and more attacks are coming from unknown and unseen sources. That’s why deep learning is increasingly necessary for a strong and robust cybersecurity strategy. Its self-taught task-specific algorithms detect risky user activities and act to isolate the threats reducing risks and expenses of cyber threats. As an example, PayPal applies DL-fueled solutions to stop fraudulent payment transactions or purchases.

Bottom line: Should companies focus on deep learning solutions?

Deep learning is transforming a vast number of sectors and companies of all sizes need to take advantage of that technology. With an extremely high number of high-potential deep learning applications, it will no doubt play a key role in delivering the splendid opportunities for businesses: detecting fraud, forecasting results, analyzing data, attracting new customers, etc. Its opportunities are enormous that’s why companies should invest significantly in deep learning solutions to drive more revenue and grow their business in the near future.

The author of this article is Andrew Lozun (Chief Innovation Officer) from ServReality company (