Foundation AI is an Artificial Intelligence Solutions Provider. We help organizations process, manage, and leverage their unstructured data to automate labor-intensive tasks, make better data-driven decisions, and drive real business value.
The New York City Office of Chief Medical Examiner (OCME) serves the public health and criminal justice system through forensic science and responds to disasters in New York City as part of a multidisciplinary team of agencies. With approximately 600 employees working throughout the five boroughs of New York, OCME is the largest medical examiner’s office in the country. Its experts investigate approximately 8,500 deaths per year and test tens of thousands of items of evidence in its laboratories.
Clean energy plants lose $27 billion every year due to their reactive maintenance practices. This problem affects wind farm operators most acutely. Wind turbines have multiple inter-connected components which work collectively to generate power. Failure of any of these components can halt the entire machine. To restore the machine, engineers first need to identify the source of the failure (often by drilling holes in the turbine) and then repair or replace the failed component. The size and placement of wind turbines (which are sometimes offshore) make these repairs extremely expensive and time consuming—cranes and other heavy equipment are often necessary to conduct the inspection, maintenance, and repair. The process can take between a few weeks and a couple months, all the while the turbine may be offline.
As the largest medical examiner’s office in the United States, the OCME has amassed one of the world’s largest collections of forensic investigative reports—these documents include records of millions of autopsy reports, forensic reports, and genetic tests that have informed its conclusions over the years.
OCME realized that its large cache of documents contains a wealth of information and that, by applying big data analytics and machine learning techniques, it might be able to leverage this information to uncover insights and trends that could benefit its population. Advanced analytics and AI, however, requires structured input data, and so OCME’s first challenge would be to extract structured data from its massive collection of unstructured documents. Because of their inconsistent structures, it would take an army of data entry technicians to read these millions of reports and key in the relevant fields before the data could be used to discover any meaningful insights.
Foundation AI leveraged its Extract Vision and Extract Language Platforms to configure OCME a customized solution with intelligent OCR, natural language processing, and pattern recognition capabilities. The solution automatically parses structured data from unstructured documents like autopsy reports, investigative reports, and forensic toxicology reports (whether pdf, image, or MS Word files).
The Solution includes a customizable user interface and configurable dashboards that enable the OCME to slice and dice, and drill down into the extracted structured data.
Using Foundation AI’s solution, OCME can efficiently search and analyze the information previously locked away in its massive cache of documents.
"Foundation AI's tool will help us to derive the full benefit of our massive store of data, and uncover meaningful insights that will benefit the health and safety of the citizens of New York," says Naeem Ullah, Chief Information Officer at the OCME”.
Leveraging the Solution, OCME can now identify key factors, trends, and insights that will greatly impact forensic science and population health around the world.