Deep learning is improving our daily lives. Are you increasingly interacting with your computers by just talking to them? Whether it’s Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google. And this is only the beginning. There are still a lot of existing applications waiting to be upgraded using deep learning.

We saw this already in 2016 where we see Deep Learning used as a function evaluation component in a much larger search algorithm. Last year Deep Mind’s AlphaGo became the first machine to beat a top Go player. Google’s Gmail auto-reply system used Deep Learning in combination with beam searching. Google have been investing a lot in deploying deep learning to improve their products and services. For example, Google creates a translation system to deal with words, phrases and rules for different languages. Besides, Google’s also offers a hosted deep learning platform called Cloud Machine Learning Engine that takes care of the hardware needs of deep learning development, allowing companies to focus on building their models and offload the computing requirements to Google. After all, few companies have invested so much in AI that they have built their own custom accelerator hardware like Google did

Traditional statistical models of predicting optimal experiences are dramatically enhanced by recent breakthroughs in big data, computational power, and deep neural network architectures. Some companies are already integrating deep learning into their own day-to-day processes. Yahoo applies machine learning to emojis. When a user compose a message, the top five emojis that a user is likely to select should show up in the autocomplete suggestions. Deep learning could also help customers follow the trends. If you think being fashionable is hard, Stitch Fix, a personal styling startup lets you personalize your style profile using deep learning models. Yelp builds a photo classifier to tackle the ambitious goal of holistically understanding pictures. This could help customers make the right restaurant choices. Just imagine when you’re trying to pick a romantic spot that will impress your date. Also, the best user photographs would be highlighted based on deep learning algorithm.

Many people don’t realize how significant deep learning is in improving the user experience of digital products. I believe that in the near future start-ups and the big tech companies will use deep learning to upgrade a wider suite of existing applications, and to create new products and services. More and more companies will have to adopt these methodologies to stay competitive. Entirely new business lines and markets will spring up, which will give rise to still more innovation. Deep learning systems will become easier to use and more widely available. And deep learning will change the way people interact with technology as operating systems transformed ordinary people’s access to computers.