The Rockefeller Foundation Archive Center is a unique institution that offers much more than just a repository of historical documents and artifacts. It is also a vibrant research facility that has supported many important initiatives in public health, education, arts, and scientific research.
The archive center houses a vast collection of materials that provide valuable insights into the foundation’s history and social impact. From the early days of the foundation’s establishment to its current activities, the archive center offers researchers, scholars, and the general public a unique opportunity to explore the foundation’s legacy and impact on society.
Value of Data:
The Rockefeller Foundation’s archive is a treasure trove of information that is highly valuable for researchers, scholars, journalists, and historians interested in grant-making institutions and the impact of funding decisions.
The collection of historical records provides relevant and comprehensive data that can aid researchers in conducting analyses, tracking the evolution of specific technologies, and gaining insights into past successes and failures.
Consequently, the archive’s significance extends beyond preserving the foundation’s history, as it offers a window into the past that can help shape the future.
Problem:
The Rockefeller Foundation faced a major challenge with their archived documents. Given that the records dated back to 1900 and were all handwritten, they were not easily searchable in digital form.
Consequently, the foundation recognized the pressing need to digitize their records, in order to effectively analyze and organize their data. A closer analysis of the situation revealed the daunting task of manually analyzing thousands of documents, which would take years to complete.
The foundation recognized the need for automated data extraction techniques to expedite the process and achieve their goals in a time-efficient manner.
Solution:
The Rockefeller team, like most foundations, dealt with vast amounts of unstructured data.
However, their previous rule-based approach produced noisy data, prompting them to seek a more reliable solution.
They turned to our labeling tool to generate high-quality training datasets for their custom model to produce accurate results.
To visualize and track the relationships between nodes over time, create a queryable database from historical records, slice data, and analyze various aspects of it, they used UBIAI’s knowledge graph solution.
The knowledge graph proved to be highly effective in meeting the foundation’s needs, as the Director of Research and Education at RAC stated.
After Using UBIAI:
Following the implementation of UBIAI’s solutions, they were able to streamline their document digitization process and optimize their data analysis and examination efforts.
The extracted labeled data proved to be invaluable in helping them better comprehend the vast amount of information contained within their documents, leading to the discovery of valuable insights and critical trends and patterns.
Moreover, the labeling and tagging process was simple and user-friendly, providing a pleasant surprise that greatly aided their endeavors.
The Director of Research and Education at RAC spoke highly of the product, describing it as an enjoyable and easy-to-use solution that proved highly effective in achieving our goals.
Proud to show how well our users see us.
We keep shining all over! Named High Performer for
two season on a row!
If you’re looking for a tagging platform on NLP projects, UBIAI probably has all the features you need. lt supports many document types and multiple OCR engines. It’s super simple and powerful.
Ihsan S.
Machine Learning Engineer
It is very easy to work with. A couple of things that draw me to UBIAI are that it could accept data in a LOT of formats (even including PDFs!).
Jetson W.
Data Architect
I love this product as this provides amazing support for document classification and named entity recognition. The NLP tasks UI is very intuitively embedded into this product and it is really easy to use.