One of the technologies we’re using at In The Pocket to make digital products smarter is Natural Language Processing.
Artificial intelligence is the technology that enables a computer to show human behavior - but what does that mean? One of the subfields of AI is natural language processing, the concept of processing and analyzing large amounts of natural language data.
Content customization is a simple example of Natural Language Processing (NLP), the branch of AI focussing on the interaction between humans and technology using the natural language. This technology makes it possible that your computer or smartphone can read, listen or watch and decipher this input afterwards. Thanks to NLP, customers are able to have tailored experiences - whether it's in newsletters, articles or magazines.
When using text understanding the technology reads a text, and can afterwards give you a summary of what’s written or complete missing parts. It’s a technology that’s not only used by us at In The Pocket, but is also researched by OpenAI, the organisation founded by Elon Musk.
Self Learning Chatbots
Thanks to NLP, the technology can create entire new ways of how we work. Imagine a system that can analyze emails and documents, to decide which one you need to prioritize or what’s missing. It can help companies to reduce costs in their customer care services, as the chatbots will get smarter everyday and really understand what customers are saying.
Natural Language Processing will also change the way we interact with devices. Keyword activation will play a huge role in the digital products of the future. From ‘Hi Siri, is it going to rain today?’ to ‘Hi machine, this batch is good to go’: we’re integrating these commands in our developments to make them as intuitive as possible.