Ancestry has spent decades digitizing family records. AI is helping speed it up. (www.businessinsider.com)

Ancestry, a leading genealogy platform, is revolutionizing its digitization process by leveraging artificial intelligence to enhance the speed and efficiency of processing historical family records. With over 71 billion records amassed over 42 years, Ancestry faced challenges related to the manual nature of data entry, particularly during international expansion. The company's CTO, Sriram Thiagarajan, highlighted that AI adoption has significantly expedited this process, with proprietary machine learning models and generative AI tools enabling the digitization of data from various formats, including handwritten notes and photographs. Notably, the impact of large language models (LLMs), such as those from OpenAI, has allowed Ancestry to process records in nearly 200 languages, increasing the company’s capacity to add new records dramatically. The significance of this development lies in the transformative potential it holds for the AI/ML community, particularly in data extraction and processing of unstructured data. By the end of 2025, Ancestry anticipates that over 50% of its historical records will be processed using AI, with record growth tripling in just two years. These advancements not only benefit the company's operational efficiency but also enhance user experiences through AI-powered tools like facial recognition and audio storytelling features. This shift underscores the broader implications and possibilities of AI integration within data-heavy industries, enhancing both user engagement and historical accessibility.