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Deep Learning: What It is, How It’s Used and Why It’s Important

Posted by Allison Boccamazzo on July 12, 2018 at 2:11 PM

Artificial Intelligence (AI) ranks within the top three technologies to drive business transformation over the next two years. It has the potential to increase corporate probability in 16 industries by an average 38% by 2035. Already, 80% of companies have some form of AI in production today.

What “forms” do AI take? Machine learning, audio processing, computer vision, natural language processing…the list goes on. Among these is deep learning, which has been generating lots of buzz lately.

What is Deep LearningWhat Is Deep Learning?

Deep learning is a type of machine learning that, through multi-layered artificial neural networks, trains a computer to perform human-like tasks (i.e. recognizing speech, identifying images, translating languages). As opposed to task-specific algorithms, these neural networks are capable of learning unsupervised from data that is unstructured or unlabeled. As such, deep learning trains the computer to autonomously learn by recognizing patterns using several layers of advanced processing.

How is Deep Learning Being Used?

Deep learning is transformational both at the consumer and enterprise level. The technology’s voice recognition functionality, for example, is leveraged by businesses to minimize call queues and ensure customers are taken care of as quickly and efficiently as possible (more examples of deep learning for the enterprise can be found here).

On a personal level, almost everyone is affected by deep learning. If you’ve ever engaged with a chat bot for customer service, for example, chances are it was using deep learning by feeding data (or the questions you asked) through various layers of neural networks to deduct the most logical, human-like response by process of elimination.

Why is Deep Learning Important?

The opportunities and applications of deep learning are seemingly endless. Companies can transform customer experience with greater personalization of data analytics, improved application performance, and a deeper understanding of customer preferences and behaviors. In everyday life, deep learning is being applied to improve the way we consume news, watch television and even help individuals with impairments. It’s a powerful technology with deep implications for humankind (no pun intended).

Learn more about AI using CPaaS here.


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