Some large companies are tempted to build an in-house team of AI and NLP experts to develop their own IDP application, thinking that doing so can save them money, allow them more customizable solutions, help them to achieve greater accuracy, and myriad other reasons. Between off-the-shelf solutions, custom products, and the prospect of building your own tool, it can be difficult to assess the costs, benefits, and tradeoffs associated with each approach.
Download this eBook to understand the different types of costs associated with NLP development, the types of use cases where pre-built IDP solutions can help save costs and how a new approach to text processing called Semantic Folding provides the foundation for flexible IDP solutions with high levels of accuracy on unstructured text.
