Applied AI and Knowledge Systems
Exploring how artificial intelligence reshapes knowledge, search and decision-making in organizations.
Core concepts
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AI KnowledgeHow organizations structure, access and use knowledge with artificial intelligence. This includes documents, internal systems and information flows that become part of AI-driven environments.
It forms the foundation for understanding how AI supports knowledge work, decision-making and the organization of information across systems. -
AI InfrastructureWhere and how artificial intelligence systems run — from local environments to cloud infrastructure. This includes how models are deployed, how they interact with data and how they are integrated into technical systems.
Understanding infrastructure helps define performance, control and the way AI operates within real organizational environments. -
AI PrivacyHow artificial intelligence systems handle sensitive data and operate within privacy and regulatory constraints. This includes personal data, internal information and the broader question of how data is processed and protected.
It is a central consideration when applying AI in real environments where compliance, risk and trust play an important role.
Articles and explorations
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AI KNOWLEDGE
What Is an AI Knowledge System?An introduction to AI knowledge systems and how organizations use artificial intelligence to structure, retrieve and interpret information.
March 2026 -
AI INFRASTRUCTURE
Local AI vs Cloud AIExploring the differences between local and cloud-based AI and how organizations decide where artificial intelligence systems should operate.
March 2026 -
AI PRIVACY
AI and Sensitive DataUnderstanding how artificial intelligence systems interact with sensitive data, including privacy, PII, regulatory requirements and how organizations handle data in real-world environments.
March 2026
Working with AI and internal data
Artificial intelligence is increasingly used to work with internal knowledge, documents and data.
As AI systems become part of everyday processes, questions around data handling, privacy and control are becoming more relevant. Understanding how information is structured, accessed and protected is becoming a core aspect of working with AI.
As AI systems become part of everyday processes, questions around data handling, privacy and control are becoming more relevant. Understanding how information is structured, accessed and protected is becoming a core aspect of working with AI.