Deep learning, an advanced form of artificial intelligence (A.I.), is all around us, and it's growing increasingly ingrained in how we live and work. Deep learning tech is "the brains" behind the automated traffic control on our city streets, our sophisticated translation systems, and the fast, accurate facial recognition at our airports. Additionally, deep learning can also vastly improve both shopper experience and retailers' sales, on and offline. Technically speaking, deep learning uses artificial neural networks, software constructs that are inspired by the biological structure of the human brain. Neural networks are excellent at rapidly processing and understanding unstructured data such as video, images, audio or large amounts of text without requiring intervention from human engineers, who could not possibly keep pace with the A.I. Neural network tech particularly shines at visual perception, natural language understanding and the ability to predict behaviors such as online shoppers' desires and purchase intent.

The annual business awards program organized by the Business Intelligence Group (USA) recognizes organizations, products and people that bring new ideas to life. RTB House was recognized for leading innovation by employing 100% deep learning technology within 100% of its algorithms. Deep learning technology is a rapidly trending subfield of AI which mimics human neural networks to process data and make decisions at lightning speed across countless options. RTB House was awarded the 2018 Big Innovation Award by the Business Intelligence Group for adopting deep learning within every single algorithm, resulting in higher returns on investment for its advertisers. RTB House implemented self-learning algorithms to four different areas of its core technology stack.

It's a marketer's dream to be able to predict a customer's next move and make decisions based off that. But with an increasing volume of customer data at their fingertips, marketers need technology to help with the almost overwhelming task. Where does artificial intelligence come in here? Radoslaw Dobrolecki: It's crucial to be very good at evaluating the value of a user, and to do that well, you need to predict the behavior of that user. This is all about deploying AI.

RTB House, a technology company specializing in retargeting scenarios, has come up with a brand new model that relies on deep learning (currently the most promising subfield of AI-oriented research) to craft digital features that recognize the attitude, intention and intent of internet users. It allows for accurate estimation of the conversion probability, which in turn makes personalized retargeting more efficient than before. The model can even be applied to users who haven't clicked ads, a long-sought after feature of digital marketers. Users take hundreds of small steps when visiting advertiser's website. The model developed by RTB House uses deep learning to identify every one of these footprints, in order to find patterns in decision-making.