Editor’s Note: This article originally appeared on Softweb Solutions’ Insights blog.
The overall deep learning market is estimated to be valued at USD 3.18 Billion in 2018 and is expected to be worth USD 18.16 Billion by 2023 – MarketsandMarkets
There is a lot of buzz around the deep learning technology and the remarkable market growth it has made. A deep learning solution, unlike AI and ML, needs a huge amount of embedded data and computational power to make machines learn human behaviour, store knowledge, and make predictions using a trained neural network.
To many people, machines behaving like humans and sharing an enormous amount of private data sounds creepy because it can harm their privacy. Apart from that, deep learning also has some deep problems like deepfakes and the black box models, which makes business owners reluctant to adopt the technology. But then, whether you know it or not, this technology has a lot of potential to deal with business-specific challenges and the benefits of deep learning outnumber its drawbacks.
Check out some of the present-day deep learning use cases – from early cancer detection to spotting fake news – which prove that it has truly evolved over the years and is here to stay.
It is clear that deep learning is already extensively used in the business world to automate processes, detect patterns, solve problems and improve performance. If you want to know how to implement deep learning in your business model, then talk to our experts.