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ConferenceCall 2023 10 04 and ConferenceCall 2023 10 18: Difference between pages

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! scope="row" | Session
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| [[session::Overview]]
| [[session::A look across the industry, Part 1]]
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! scope="row" rowspan="3" | Date/Time
! scope="row" rowspan="3" | Date/Time
| [[has date::4 Oct 2023 16:00 GMT]]
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| 9:00am PDT/12:00pm EDT
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! scope="row" | Conveners
! scope="row" | Convener
| [[convener::AndreaWesterinen|Andrea Westerinen]] and [[convener::MikeBennett|Mike Bennett]]
| [[convener::AndreaWesterinen|Andrea Westerinen]] and [[convener::MikeBennett|Mike Bennett]]
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== Agenda ==
== Agenda ==
 
* '''Kurt Cagle''', Author of [https://thecaglereport.com/ The Cagle Report]
'''[[AndreaWesterinen|Andrea Westerinen]]''' and '''[[MikeBennett|Mike Bennett]]'''
** '''Title:''' Complementary Thinking: Language Models, Ontologies and Knowledge Graphs
 
** '''Abstract:''' With the advent of Retrieval Augmented Generators (RAGs), a more or less standardized workflow has become available for integrating large language models such as ChatGPT with knowledge graphs. This in turn has raised the question about the nature of ontologies associated with LLMs and how knowledge graphs can be structured and queried to make integrated data access possible between the two types of systems. In this talk, Editor and AI Explorer Kurt Cagle of The Cagle Report looks at this process and discusses how they affect both knowledge portals and ontology design.
'''Title:''' ''Fall Series Kickoff and Overview''
* '''Tony Seale''', Knowledge graph architect and thought leader ([https://www.linkedin.com/in/tonyseale/ LinkedIn])
 
** '''Title:''' How Ontologies Can Unlock the Potential of Large Language Models for Business
'''Abstract:''' The opening session of the Ontology Summit 2024 Fall Series overviews the LLM, ontology and knowledge graph landscapes, as well as introducing the participating speakers. The goal of the Series is to understand, discuss and debate the similarities, differences and overlaps across these landscapes. In addition, we will use these sessions to help to formulate the full 2024 Summit.
** '''Abstract:''' LLMs have remarkable capabilities; they can craft letters, analyze data, orchestrate workflows, generate code, and much more. Companies such as Google, Apple, Amazon, Meta, and Microsoft are all investing heavily in this technology. Everything indicates that LLMs have enormous disruptive potential. However, there is a problem: they can hallucinate, and for any serious business, that is a deal-breaker. This is where ontologies can come in. In combination with Knowledge Graphs, they can place guardrails around the LLMs, thus allowing organizations to harness the capabilities of LLMs within the framework of a safely controlled ontological structure.
 
[https://bit.ly/3Q28U00 Slides]
 
[https://bit.ly/3rCnyC0 Video Recording]


== Conference Call Information ==
== Conference Call Information ==
* Date: '''Wednesday, 4 October 2023'''  
* Date: '''Wednesday, 18 October 2023'''  
* Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
* Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
** ref: [http://www.timeanddate.com/worldclock/fixedtime.html?month=10&day=04&year=2023&hour=12&min=00&sec=0&p1=179 World Clock]
** ref: [http://www.timeanddate.com/worldclock/fixedtime.html?month=10&day=18&year=2023&hour=12&min=00&sec=0&p1=179 World Clock]
* Expected Call Duration: 1 hour
* Expected Call Duration: 1 hour
{{:OntologySummit2024/ConferenceCallInformation}}
{{:OntologySummit2024/ConferenceCallInformation}}


== Participants ==
== Participants ==
* [[AlexShkotin|Alex Shkotin]]
* [[AndreaWesterinen|Andrea Westerinen]]
* [[ToddSchneider|Todd Schneider]]
* [[MikeBennett|Mike Bennett]]
* Ayya Niyyanika Bhikkhuni
* Bill McCarthy
* Zefi Kavvadia
* [[RamSriram|Ram D Sriram]]
* Andrew McCaffrey
* Steve Wartik
* [[BartGajderowicz|Bart Gajderowicz]]
* [[MarkFox|Mark Fox]]
* Seungmin Seo
* JL Valente
* [[MichaelDeBellis|Michael DeBellis]]
* [[DouglasMiles|Douglas Miles]]
* [[GaryBergCross|Gary Berg-Cross]]
* Sima Yazdani
* [[JohnSowa|John Sowa]]
* [[KenBaclawski|Ken Baclawski]]
* [[RaviSharma|Ravi Sharma]]
* Sergey Rodionov
* Taj Uddin
* [[MarkRessler|Mark Ressler]]
* Asiyah Yu Lin
* Hayden Spence
* Michael Singer
* Roberta Ferrario
* Chris Novell
* Emanuele Bottazzi
* Marco Monti


== Discussion ==
== Discussion ==
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== Resources ==
== Resources ==


== Previous Meetings ==
{{#ask: [[Category:OntologySummit2024]] [[Category:Icom_conf_Conference]] [[<<ConferenceCall_2023_10_18]]
        |?|?Session|mainlabel=-|order=desc|limit=3}}
== Next Meetings ==
== Next Meetings ==
{{#ask: [[Category:OntologySummit2024]] [[Category:Icom_conf_Conference]] [[>>ConferenceCall_2023_10_04]]
{{#ask: [[Category:OntologySummit2024]] [[Category:Icom_conf_Conference]] [[>>ConferenceCall_2023_10_18]]
         |?|?Session|mainlabel=-|order=asc|limit=3}}
         |?|?Session|mainlabel=-|order=asc|limit=3}}


Revision as of 21:30, 15 October 2023

Session A look across the industry, Part 1
Duration 1 hour
Date/Time 18 Oct 2023 16:00 GMT
9:00am PDT/12:00pm EDT
4:00pm GMT/5:00pm CST
Convener Andrea Westerinen and Mike Bennett

Ontology Summit 2024 A look across the industry, Part 1

Agenda

  • Kurt Cagle, Author of The Cagle Report
    • Title: Complementary Thinking: Language Models, Ontologies and Knowledge Graphs
    • Abstract: With the advent of Retrieval Augmented Generators (RAGs), a more or less standardized workflow has become available for integrating large language models such as ChatGPT with knowledge graphs. This in turn has raised the question about the nature of ontologies associated with LLMs and how knowledge graphs can be structured and queried to make integrated data access possible between the two types of systems. In this talk, Editor and AI Explorer Kurt Cagle of The Cagle Report looks at this process and discusses how they affect both knowledge portals and ontology design.
  • Tony Seale, Knowledge graph architect and thought leader (LinkedIn)
    • Title: How Ontologies Can Unlock the Potential of Large Language Models for Business
    • Abstract: LLMs have remarkable capabilities; they can craft letters, analyze data, orchestrate workflows, generate code, and much more. Companies such as Google, Apple, Amazon, Meta, and Microsoft are all investing heavily in this technology. Everything indicates that LLMs have enormous disruptive potential. However, there is a problem: they can hallucinate, and for any serious business, that is a deal-breaker. This is where ontologies can come in. In combination with Knowledge Graphs, they can place guardrails around the LLMs, thus allowing organizations to harness the capabilities of LLMs within the framework of a safely controlled ontological structure.

Conference Call Information

  • Date: Wednesday, 18 October 2023
  • Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
  • Expected Call Duration: 1 hour
  • Video Conference URL: https://bit.ly/48lM0Ik
    • Conference ID: 876 3045 3240
    • Passcode: 464312

The unabbreviated URL is: https://us02web.zoom.us/j/87630453240?pwd=YVYvZHRpelVqSkM5QlJ4aGJrbmZzQT09

Participants

Discussion

Resources

Previous Meetings

 Session
ConferenceCall 2023 10 11Setting the stage
ConferenceCall 2023 10 04Overview

Next Meetings

 Session
ConferenceCall 2023 10 25A look across the industry, Part 2
ConferenceCall 2023 11 01Demos of information extraction via hybrid systems
ConferenceCall 2023 11 08Broader thoughts
... further results
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