Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a ...

Our foundational success stems from bridging knowledge, information, and data management, enabling us to deliver highly functional and reliable semantic layer and AI initiatives for our clients.

AI will eliminate many forms of existing knowledge work but can it make the knowledge workers who survive the agentic AI revolution fundamentally more productive?

This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting and data mining ...

In this case, that which does not kill KM makes it stronger—artificial intelligence will, in fact, supercharge knowledge management.

This research assesses 21 large language models (LLMs), including both API-based and open-source models, in their ability to retrieve biological knowledge.

This is often because of legacy systems and data issues. To activate AI’s potential without risk, insurers need enterprise‑level knowledge management before implementing these tools.

Our research presents and demonstrates an approach to automated incident type identification and contributes to our understanding of the use of text-mining and data-streaming technologies in improving ...

The pivot to remote work, more efficient processes, and new digital tools put previously unheralded knowledge management lawyers at the forefront of law firms' success during the COVID-19 pandemic.