Shep Bryan publishes independent
Research & Development
White Paper on Knowledge Management
Executable Ontologies
This white paper presents executable ontologies as a powerful approach to accelerating knowledge work by integrating domain knowledge with executable aspects, enabling knowledge workers to directly leverage this knowledge in their interactions with large language models(LLMs).
The paper explores the concept of executable ontologies, their application across various industries in the form of “ontology cards”, and the practical considerations for implementing them within organizations. By providing knowledge workers with the tools and frameworks to directly access and operationalize institutional knowledge through LLMs, organizations can drive innovation, productivity, and continuous learning.
Mapping the Terrain of Human-AI Teaming
Cognitive Load
The ways that we can measure and balance cognitive load are changing with AI. We can think more powerfully than ever before.
This in-depth blog unpacks the differences in cognitive capabilities between Humans and AI, presenting both theoretical and practical implications for consideration.
White Paper on Agentic Development
Agent-Centered Design
As AI capabilities expand, we need new ways of thinking about how we design systems and solutions. The traditional approach of human-centered design revolves around human needs and emotions. But what about designing for the AI agents themselves?
Enter agent-centered design.
This new paradigm focuses on the autonomous digital entities that are reshaping our world. The principles, processes, and tools of agent-centered design aim to create solutions tailored for the unique capabilities and operational modalities of AI.