How Deep Learning Is Changing The Overall Customer Experience
Posted By Priyansha Sinha | 06-Sep-2018
Deep Learning is the sub-segment of artificial intelligence and machine learning. Inspired by the work-function of a human brain to generate artificial neural networks for machines, it is now being heavily adopted by a majority of enterprises across the globe. Deep Learning will enable devices and machines to run in the same way humans do. In this article, I will break down the basic idea into simpler pieces so that it gets easy for you to grab the cornerstone of this framework. So let’s get started.
What Is The Importance Of Deep Learning?
Artificial Intelligence can never truly reflect its true potential without giving machines the full capabilities of deep learning.
The concept of producing deep learning models can be difficult to comprehend for many people. This is mainly because decoding the human behavior and thinking pattern comes naturally to us, however, lending out the same abilities to machines is comparatively a very complex process of design.
Building machines that are accomplished by understanding little differences in the words embedded in the programs might seem like a small thing but demands complicated algorithms and a huge set of data to execute.
There are basically 2 prime reasons why deep learning framework gained such a staunch momentum:
- Deep learning models urge the use of a large amount of labeled data.
- Deep learning requires a considerable portion of computing power.
Advantages of Deep Learning For Customer Experience
Relating to the effectiveness, deep Learning models are superlative to most of the typical AI characteristics and traditional machine learning models. Suppose if an AI model reaches to an accuracy level of 50%, it will not be considered for practical use. Let’s take another reference for automobiles. A customer will never trust stepping inside a car whose brakes fail 50% of the time.
However, if the accuracy of an AI system reaches to a figure of 95%, it would be much more robust and reliable for the practical use. And this level of accuracy and preciseness for human-like tasks can be only obtained with the implementation of deep learning algorithms.
Furthermore, it can also be applied to speech recognition for enhancing the overall customer experience. The speech recognition technology has been around the corner for quite a while now but never really marked its accuracy territory to become a marketable object until the arrival of deep learning models.
The Home automation devices and systems respond and work through voice command. This is an active area where deep learning can significantly improve the customer experience.
A Final Note
When more compound and richer algorithms are devised on top of the prevailing modules, the companies will be liable to gain a bulk of the incremental growth. And because of its accessible platforms and open source community, deep learning has a bright future in the landscape of customer experience.
What are your thoughts on the potential of deep learning for transforming the overall customer experience? We will be glad to hear your side of the story as well.