How AI search is overcoming the unstructured data challenge

With 80 per cent of company data being unstructured, including text, images and video, getting the most possible value from rising amounts of these assets is proving a challenge across all business sectors. Businesses often meet pitfalls in keyword search capabilities that fail to properly take context, formats or languages into account, leaving users with insufficient results. To solve this challenge, Barcelona-headquartered data startup Nuclia is delivering an API that leverages what company CEO and co-founder Eudald Camprubi has named'AI search as a service', capable of finding and indexing data across any source. An end-to-end solution, it can extract data from file repositories, audio, video, URLs and databases, split it into paragraphs, and present an index that shows exactly where any chosen piece of information is in the file. This is based on continuously trained language models, the creation of which owes much to data annotation.