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Knowledge Graph Insights

Larry Swanson
Knowledge Graphs
Artificial Intelligence
Generative AI
Knowledge Graph
Large Language Models
Semantic Technology
Semantic Web
Machine Learning
Metadata Management
W3C SCOS
Linkedin
Knowledge Graph Technology
Climate Change
Helioweb
Sustainability
RDF
Discoverability
Taxonomy
E-Commerce
Graphrag

Interviews with experts on semantic technology, ontology design and engineering, linked data, and the semantic web.

PublishesMonthlyEpisodes44Founded2 years ago
Number of ListenersCategories
BusinessManagementTechnology

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Artwork for Knowledge Graph Insights

Latest Episodes

Max Gärber The promise of agentic AI is being realized in systems like the Service Copilot that Zeiss microscopes provides for its field service engineers. The system integrates technical documentation, subject matter expertise, and user-generated in... more

YouTube

Quentin Reul The complementary nature of knowledge graphs and LLMs has become clear, and long-time knowledge engineering professionals like Quentin Reul now routinely combine them in hybrid neuro-symbolic AI systems. While it's tempting to get caught... more

YouTube

Jim Hendler As the World Wide Web emerged in the late 1990s, AI experts like Jim Hendler spotted an opportunity to imbue in the new medium, in a scale-able way, knowledge about the information on the web along with its simple representation as conten... more

YouTube

Brad Bolliger Brad Bolliger entered the knowledge graph space via enterprise software system design and data analytics. That background informs their pragmatic and strategic approach to the use of semantic technology in systems that facilitate inform... more

YouTube

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Recent Guests

Max Garber
Partner and technical consultant at Pantopix, focused on knowledge graphs and AI for industrial content
Pantopix
Episode: Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Quentin Reul
Director of AI Strategy and Solutions at Expert.AI
Expert.AI
Episode: Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44
Jim Hendler
Pioneering AI expert and professor at Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute
Episode: Jim Hendler: Scaling AI and Knowledge with the Semantic Web – Episode 43
Tara Raafat
Head of metadata and Knowledge Graph Strategy at Bloomberg, experienced ontologist and Knowledge Graph practitioner.
Bloomberg
Episode: Tara Raafat: Human-Centered Knowledge Graph and Metadata Leadership – Episode 41
Alex Bertails
Software Engineer at Netflix, involved in the UDA initiative
Netflix
Episode: Alexandre Bertails: The Netflix Unified Data Architecture – Episode 40
Torrey Podmajersky
President at Catbird Content, accomplished author, and guest faculty at the University of Washington iSchool
Catbird Content
Episode: Torrey Podmajersky: Aligning Language and Meaning in Complex Systems – Episode 39
Casey Hart
Ontologist at Ford and creator of a YouTube channel on ontology philosophy.
Ford
Episode: Casey Hart: The Philosophical Foundations of Ontology Practice – Episode 38
Chris Mungall
A computational scientist working in the biosciences at the Lawrence Berkeley National Laboratory.
Lawrence Berkeley National Laboratory
Episode: Chris Mungall: Collaborative Knowledge Graphs in the Life Sciences – Episode 37
Emeka Okoye
Ontology practitioner and knowledge engineer with expertise in semantic technology and generative AI.
Episode: Emeka Okoye: Exploring the Semantic Web with the Model Context Protocol – Episode 36

Host

Larry Swanson
Host of the Knowledge Graph Insights Podcast. Engages with experts on topics related to semantic technologies, ontology design, and the semantic web.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#173
Netherlands/Technology
Apple Podcasts
#175
Brazil/Technology

Talking Points

Recent interactions between the hosts and their guests.

Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Q: What are the main agents in your architecture and their roles?
The planning agent orchestrates which other agents to deploy, the content agent retrieves service documentation and related materials, and the troubleshooting agent leverages past solutions to suggest steps for current issues.
Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Q: How does the architecture balance the need for fast, accurate facts from the knowledge graph with the flexibility of language models?
The core graph and ontology drive factual retrieval, while the LLM-based components (RAC) handle natural language interaction and generation, with a controlled percentage of content that may be altered to ensure reliability. When necessary, the system can fall back to graph-based queries to preserve accuracy.
Max Gärber: Agentic AI Built on a Knowledge Graph Foundation – Episode 45
Q: Can you talk a little bit about how you got involved with Zeiss and what you do to help them?
The goal was to give service technicians fast access to relevant documentation and procedures by consolidating manuals, tickets, and metadata into a single access point, then progressively adding intelligent recommendations.
Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44
Q: Does that kind of consideration come into the architectures that you're crafting?
It comes in multiple ways, since symbolic AI helps enforce strict rules, and LLMs can deal with complexities and exceptions, creating a robust architecture.
Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44
Q: What are some of the obvious complementary natures of them that you're putting together in the projects you're working on?
LLMs have revolutionized knowledge-based population by allowing faster extraction and relationship mapping from unstructured to structured data.

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Frequently Asked Questions About Knowledge Graph Insights

What is Knowledge Graph Insights about and what kind of topics does it cover?

Content focuses on interviews with professionals deeply involved in semantic technologies, ontology design, and the implementation of linked data principles. Key topics often include the importance of Knowledge Graphs across various industries, data interoperability, and the integration of artificial intelligence within these frameworks. Unique perspectives are provided by guests with diverse backgrounds, ensuring a rich dialogue about the practical and philosophical aspects of semantic technology. Noteworthy themes include human-centered approaches in data management and the alignment of ontological practices with user experience design, making the content particularly relevant for listeners invested in the future of data-centric innovatio... more

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Which podcasts are similar to Knowledge Graph Insights?

These podcasts share a similar audience with Knowledge Graph Insights:

1. The AI Daily Brief: Artificial Intelligence News and Analysis
2. The a16z Show
3. Interesting Times with Ross Douthat
4. Practical AI
5. The Intelligence from The Economist

How many episodes of Knowledge Graph Insights are there?

Knowledge Graph Insights launched 2 years ago and published 44 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Knowledge Graph Insights?

Recent guests on Knowledge Graph Insights include:

1. Max Garber
2. Quentin Reul
3. Jim Hendler
4. Tara Raafat
5. Alex Bertails
6. Torrey Podmajersky
7. Casey Hart
8. Chris Mungall

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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