Is AI the future of content? Part 1: The NLP market

The natural language processing (NLP) market was valued at 26.42 billion USD in 2022 and is expected to grow to 161.81 billion USD in 2029. That, plus the fact that NLP is one of the most researched subjects in AI with over 100,000 papers published in the last decade, means that NLP cannot be ignored by those creating, and consuming content. 

Since OpenAI launched its ChatGPT a few weeks ago, it seems that everyone is talking about it. After all, 1 million users jumped on the opportunity within a week of the launch.

If you’re in the content creation space, you’ve probably understood by now how important integrating AI and NLP tools into your work is. After all, NLP can help you write, edit, research, and create almost anything you want. 

But, have you thought about how AI and NLP can help with content consumption? Both individuals and companies can benefit from using NLP to dive into text data including summarizing, gaining insights, translating, and so much more. 

If you’re looking to stay ahead of the technology trends today, using NLP is a must. In our latest series “Is AI the future of content?” we’ll explore the uses of NLP and how it can change the way you work.

Stay tuned.

 

Additional chapters:
Part 1 – The NLP market
Part 2 – Changing the way you work
Part 3 – Adapt or face the consequences
Evolution of NLP Technology NLP technology has revolutionized how people interact with computers. Rather than expecting humans to learn a computer’s rigid language structures, machines…
NLP technology & better understanding customer  support  As companies continue to seek out innovative ways to improve their customer service experience, AI technology has emerged…
Tagado is changing the way companies gather and use customer feedback with our NLP-based tool.  As part of our “Customer insight of the week” series,…
Customer feedback can be a goldmine for businesses to drive product development, increase loyalty and dramatically improve customer satisfaction. The problem, however, is translating this…

Bringing your customers' voice to the decision table