Content related to Choosing the Right Approach: LLMs vs. Traditional Machine Learning for Text Summarization
Webinar: Laying KM Foundations for Successful and Transformative AI
Presented by EK’s Zach Wahl and Joe Hilger, this webinar discusses how AI can harness the full spectrum of your organization’s knowledge so that information can be efficiently found, used, and reused. In the webinar participants learned: • Why Knowledge … Continue reading
Leveraging KM as the Foundation for Artificial Intelligence
This presentation by EK’s Zach Wahl, originally presented at the annual Federal/DoD KM Symposium on May 15, 2019, discusses how knowledge management serves as a key foundation for Knowledge AI.
Bringing KM, Search, and AI Together
Clients come to EK looking to empower their people, make operations more efficient, and create a competitive advantage against their peers through improved Knowledge Management (KM). They want to take advantage of cutting-edge technologies like knowledge graphs, artificial intelligence (AI), … Continue reading
Achieving Real AI Through KM
At EK, we’ve consistently talked about the foundational value of Knowledge Management to achieve some of the more advanced information management, findability, and semantic web capabilities organizations have been seeking. At the same time, we’ve increasingly been coming across organizations … Continue reading
Knowledge Graphs as a Pillar to AI
This presentation from EK’s Yanko Ivanov and James Midkiff explores the framework that ontologies provide for enterprise knowledge graphs, shows how semantic layers complement traditional information models, and demonstrates how semantic knowledge models can be used as a basis for text … Continue reading