Extracting Knowledge from Documents: Enabling Semantic Search for Pharmaceutical Research and Development

The Challenge A major pharmaceutical research and development company faced difficulty creating regulatory reports and files based on years of drug experimentation data. Their regulatory intelligence teams and drug development chemists spent dozens of hours searching through hundreds of thousands … Continue reading

Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams

In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading

Butterfly Effect: Taxonomy and Ontology as AI Catalysts in Enterprise Learning

Organizations understand the importance of leveraging AI to stay competitive in the evolving technological landscape, but do not always know how to get started. In their talk at Taxonomy Boot Camp 2024 in Washington, D.C., Tatiana Baquero Cakici and Sara … Continue reading

A Semantic Layer to Enable Risk Management at a Multinational Bank

Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading