Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:advocates_for |
responsible AI
|
| gptkbp:aims_to |
improve user experience
analyze user behavior automate processes enhance job matching reduce bias in AI |
| gptkbp:analyzes |
market trends
user feedback |
| gptkbp:built |
AI-powered features
|
| gptkbp:collaborates_with |
academic institutions
product managers software engineers other research teams |
| gptkbp:conducts |
research projects
webinars user studies |
| gptkbp:contributes_to |
open source projects
Linked In products |
| gptkbp:created |
AI tools
|
| gptkbp:develops |
machine learning models
AI frameworks AI ethics guidelines predictive analytics models chatbot technologies |
| gptkbp:employs |
data scientists
data engineers AI researchers |
| gptkbp:encourages |
continuous learning
|
| gptkbp:engages_in |
community outreach
thought leadership cross-functional projects |
| gptkbp:explores |
emerging technologies
|
| gptkbp:focuses_on |
gptkb:Artificial_Intelligence
|
| gptkbp:fosters |
innovation
team culture |
| gptkbp:hosts |
workshops
|
| https://www.w3.org/2000/01/rdf-schema#label |
Linked In AI Team
|
| gptkbp:mentor |
interns
|
| gptkbp:part_of |
gptkb:Linked_In
|
| gptkbp:participates_in |
AI competitions
conferences hackathons research collaborations |
| gptkbp:provides |
training resources
insights to product teams |
| gptkbp:publishes |
research papers
|
| gptkbp:shares |
knowledge with industry
|
| gptkbp:supports |
diversity initiatives
startup initiatives |
| gptkbp:trains |
junior researchers
|
| gptkbp:uses |
cloud computing resources
|
| gptkbp:utilizes |
data science techniques
|
| gptkbp:works_on |
recommendation systems
data privacy solutions computer vision projects sentiment analysis tools NLP applications |
| gptkbp:bfsParent |
gptkb:MIT_AI_Conference
|
| gptkbp:bfsLayer |
5
|