All Posts

Episode 5 - Linda Andersson, AI & Semantic Search


Guest: Linda Andersson, Founder & CEO, Artificial Researcher


In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.

5:00 - Linda's journey to her work
14:20 - Domain knowledge and ontologies
17:07 - Knowledge extraction
20:05 - Why we need ontologies
20:50 - Bias and not knowing what you don't know
25:40 - Structuring and curating the knowledge base
30:00 - Supervised vs semi-supervised models
38:15 - What is Academia missing
43:30 - Getting the right start for AI projects


Information about Artificial Researcher

Demo pages for index and the ontologies generated by the Artificial Researcher Data pipeline solution:

Contact Linda:

Thanks to our sponsors:
Earley Information Science
Marketing AI Institute

Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

Recent Posts

[Earley AI Podcast] Episode 31: Kirk Marple

It’s All About the Data Guest: Kirk Marple

[Earley AI Podcast] Episode 30: Alex Babin

The Holy Grail of AI Guest: Alex Babin

The Critical Element of Foundational Architecture

Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.