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Businesses are ingesting, creating and sharing an unprecedented amount of data. The historic focus has been on structured (e.g., sql, xls, odbc) and semi-structured (e.g., json, xml) data, but unstructured data (e.g., pdfs, email, web pages) is now the priority. Companies want to unlock the data currently trapped in their contracts, deal agreements, reports, statements and other unstructured sources, so that critical insights from these sources can be incorporated in their business and operational workflows.
That said, working with unstructured data is a special kind of hard, especially if scale is required. Anyone that wants to leverage unstructured data in a meaningful way requires domain expertise across data science and data engineering, and a range of technologies, including Optical Character Recognition (OCR), Natural Language Processing (NLP), Name Entity Recognition (NER), Language Models, Machine Learning and more. Moreover, each unstructured use case can be sufficiently unique as to require a new or different approach.
Entity resolution is another skill set that is required to solve the unstructured data challenge. Once the data has been extracted, standardized and transformed into structured data, entity resolution (the process of determining if two data entries actually represent the same real object ) and other data matching techniques are required in order to integrate and connect the data across internal and external sources, especially when reliable identifiers do not exist.
The reality is that most companies do not have the domain expertise across data science disciplines, data engineering and entity resolution to efficiently leverage their unstructured data. This is why SageX created a platform that materially automates the unstructured data lifecycle, creates a unified view of entities, and integrates your internal data with other third party data sources.
In a collaborative effort, Automated Data Inc. (ADI) and SageX have partnered to provide a comprehensive solution for unstructured data entity resolution, bridging the gap between raw data and actionable insights.
SageX maximizes the economic value of unstructured data using a Data Centric approach, a smart UI and a comprehensive AI learning engine. It automates the unstructured data lifecycle with documents that vary in context, structure, formats and layouts creating ready for consumption structured data for various systems and processes.
Additionally, SageX has integrated ADI’s entity resolution engine to comprehensively understand your data, identify the best attributes to use in the matching of your data, and craft the optimal process to accurately join your data together.
The ADI engine, integrated with SageX, will provide a consistent UI and provide a seamless, end-to-end data experience:
There are several benefits businesses can achieve with their seamless automation from unstructured data all the way to creating a database of record:
In today’s data-driven world, unlocking the value hidden in unstructured data is no longer a luxury – it’s a necessity and crucial for success. The SageX and ADI partnership offers a powerful solution to this challenge, automating the unstructured data lifecycle and providing structured, actionable insights. By leveraging this technology, companies can improve efficiency, reduce costs, and scale operations across various sectors.
Don’t let valuable data remain untapped – contact ADI today to discover how our integrated solution can transform your data management and drive your business forward.
This content was created and distributed in partnership with SageX.