Jessica Talisman, Unlocking Knowledge: The Future of AI and Management

The Praxi Pod

In this episode of The Praxi Pod, Andrew Turner speaks with Jessica Talisman about the evolving landscape of knowledge management and the role of AI. They discuss the importance of semantic engineering, the challenges organisations face in managing data, and the need for effective knowledge infrastructures. Jessica shares insights on the ontology pipeline and the significance of context in knowledge management, emphasising the need for organisations to embrace a service-oriented mindset. The conversation also touches on historical perspectives, the role of libraries, and future trends in knowledge management.

Jessica Talisman is an information architect and semantic technologist with 25+ years designing semantic architectures across enterprise tech and cultural institutions. A formerly trained librarian and information scientist, Jessica works at the intersections of culture and technology, Former roles include Senior Information Architect at Adobe, Information Architect at Amazon, and positions at Pluralsight, GDIT, Overstock.com, and the Department of Justice. She created the Ontology Pipeline™ framework, to help organizations build coherent data ecosystems. Through consulting, courses, and interdisciplinary dialogue, Jessica seeks to advance collaboration between people, machines, and systems.

Substack: https://substack.com/@jessicatalisman

LinkedIn: https://www.linkedin.com/in/jmtalisman

Website: Ontologypipeline.com

Takeaways

• Knowledge management is crucial for organisational success.
• Semantic engineering plays a vital role in data management.
• Organisations face challenges in managing knowledge effectively.
• AI should complement human knowledge, not replace it.
• Context is critical in knowledge management practices.
• Libraries offer valuable lessons for managing knowledge.
• The ontology pipeline provides a structured approach to knowledge management.
• Collaboration is key to effective knowledge management.
• Organisations must validate their knowledge infrastructures.
• Future trends indicate a shift towards more collaborative knowledge management practices.

Chapters

00:00 Introduction to Jessica Talisman and Her Work

02:45 The Role of Semantic Engineering in Knowledge Management

05:24 The Evolution of Roles in Organizations

08:09 Knowledge Workers and Tools for Productivity

10:52 The Importance of Context in Data Management

13:35 Challenges with AI Implementation in Organizations

16:34 Cross-Functional Collaboration for AI Success

19:35 Historical Context of Library Science and AI

22:35 Navigating the AI Hype Cycle

25:20 The Future of AI Tools in Organisations

28:09 Stewardship of Knowledge Assets in Organizations

35:32 The Dynamic Role of Libraries in Education

38:55 AI Partnerships and Knowledge Structuring

43:23 Building Knowledge Ecosystems

48:55 Understanding Ontologies and Taxonomies

57:16 Creating Semantic Infrastructures

59:06 The Future of Knowledge Management