Many modern organizations need help processing vast amounts of unstructured data from various sources, such as scanned documents, PDFs, online forms, emails, images, and videos. Recent studies indicate that nearly 80-90% of organizational data needs to be more structured and suitable for direct use in business processes. However, this doesn’t mean the data isn’t valuable. Most unstructured data retain valuable insights that can enhance business processes, improve customer experience, and facilitate risk management. However, most traditional data management solutions are error-prone and inefficient in providing data extraction and analysis, resulting in low accuracy and high maintenance costs.

The induction of generative AI has paved the way for countless possibilities in document insights – enhancing the extraction and utilization of valuable knowledge from complex and diverse data. By leveraging advanced techniques in natural language processing (NLP) and employing deep learning models, genAI holds the capabilities to thoroughly analyze, interpret, and condense extensive data – unlocking hidden potential within documents by extracting valuable insights, generating summaries, customizing responses, and automating tedious and manual tasks.