Larry Swanson<p>Where content, <a href="https://mastodon.social/tags/knowledgeManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgeManagement</span></a>, and <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> converge, you'll find Michael Iantosca.</p><p>As many in the AI world choose probabilistic models like LLMs, Michael takes a deterministic approach to <a href="https://mastodon.social/tags/contentManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>contentManagement</span></a> and <a href="https://mastodon.social/tags/knowledgeEngineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgeEngineering</span></a>, using <a href="https://mastodon.social/tags/ontologies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ontologies</span></a> and <a href="https://mastodon.social/tags/knowledgeGraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgeGraphs</span></a> to ground content in facts.</p><p>This approach embodies his insight that content and the models that describe it are valuable enterprise IP assets.</p><p><a href="https://knowledgegraphinsights.com/michael-iantosca/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">knowledgegraphinsights.com/mic</span><span class="invisible">hael-iantosca/</span></a></p>