#senzing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #senzing, aggregated by home.social.
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Graph Power Hour! V2:E7:
"From Dirty Money to Clean Data: Entity Resolution, Beneficial Ownership, and Sanctions in the Fight Against Illicit Finance"
featuring Stephen Abbott Pugh @ Understand Beneficial OwnershipThu Jun 04, 11:00 US Eastern
https://watch.getcontrast.io/register/senzing-gphv2e7 -
Graph Power Hour! V2:E7:
"From Dirty Money to Clean Data: Entity Resolution, Beneficial Ownership, and Sanctions in the Fight Against Illicit Finance"
featuring Stephen Abbott Pugh @ Understand Beneficial OwnershipThu Jun 04, 11:00 US Eastern
https://watch.getcontrast.io/register/senzing-gphv2e7 -
Graph Power Hour! V2:E7:
"From Dirty Money to Clean Data: Entity Resolution, Beneficial Ownership, and Sanctions in the Fight Against Illicit Finance"
featuring Stephen Abbott Pugh @ Understand Beneficial OwnershipThu Jun 04, 11:00 US Eastern
https://watch.getcontrast.io/register/senzing-gphv2e7 -
Graph Power Hour! V2:E7:
"From Dirty Money to Clean Data: Entity Resolution, Beneficial Ownership, and Sanctions in the Fight Against Illicit Finance"
featuring Stephen Abbott Pugh @ Understand Beneficial OwnershipThu Jun 04, 11:00 US Eastern
https://watch.getcontrast.io/register/senzing-gphv2e7 -
Graph Power Hour! V2:E7:
"From Dirty Money to Clean Data: Entity Resolution, Beneficial Ownership, and Sanctions in the Fight Against Illicit Finance"
featuring Stephen Abbott Pugh @ Understand Beneficial OwnershipThu Jun 04, 11:00 US Eastern
https://watch.getcontrast.io/register/senzing-gphv2e7 -
Graph Power Hour! podcast S2E4:
"Connecting the world’s graph technologies and their communities"
https://watch.getcontrast.io/register/senzing-gphv2e4Join us for live Q&A during recording on Mon Feb 23 09:00-10:00 US Pacific. The video will be posted to YouTube, on our GPH! podcast channel https://senzing.com/graph-power-hour/
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Graph Power Hour! podcast S2E4:
"Connecting the world’s graph technologies and their communities"
https://watch.getcontrast.io/register/senzing-gphv2e4Join us for live Q&A during recording on Mon Feb 23 09:00-10:00 US Pacific. The video will be posted to YouTube, on our GPH! podcast channel https://senzing.com/graph-power-hour/
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Graph Power Hour! podcast S2E4:
"Connecting the world’s graph technologies and their communities"
https://watch.getcontrast.io/register/senzing-gphv2e4Join us for live Q&A during recording on Mon Feb 23 09:00-10:00 US Pacific. The video will be posted to YouTube, on our GPH! podcast channel https://senzing.com/graph-power-hour/
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Graph Power Hour! podcast S2E4:
"Connecting the world’s graph technologies and their communities"
https://watch.getcontrast.io/register/senzing-gphv2e4Join us for live Q&A during recording on Mon Feb 23 09:00-10:00 US Pacific. The video will be posted to YouTube, on our GPH! podcast channel https://senzing.com/graph-power-hour/
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Graph Power Hour! podcast S2E4:
"Connecting the world’s graph technologies and their communities"
https://watch.getcontrast.io/register/senzing-gphv2e4Join us for live Q&A during recording on Mon Feb 23 09:00-10:00 US Pacific. The video will be posted to YouTube, on our GPH! podcast channel https://senzing.com/graph-power-hour/
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DeepWiki generated an overview of how to use the `Strwythura` repo:
https://deepwiki.com/DerwenAI/strwythura/These materials start from Senzing entity resolution, through RDFlib and NetworkX graph representation, spaCy/GLiNER parsing and extraction, TextGraph construction of a lexical graph, LanceDB vector embedding for the text chunks, DSPy declarative LLM integration, Opik observability and optimization, and finally the Streamlit app for runtime.
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DeepWiki generated an overview of how to use the `Strwythura` repo:
https://deepwiki.com/DerwenAI/strwythura/These materials start from Senzing entity resolution, through RDFlib and NetworkX graph representation, spaCy/GLiNER parsing and extraction, TextGraph construction of a lexical graph, LanceDB vector embedding for the text chunks, DSPy declarative LLM integration, Opik observability and optimization, and finally the Streamlit app for runtime.
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DeepWiki generated an overview of how to use the `Strwythura` repo:
https://deepwiki.com/DerwenAI/strwythura/These materials start from Senzing entity resolution, through RDFlib and NetworkX graph representation, spaCy/GLiNER parsing and extraction, TextGraph construction of a lexical graph, LanceDB vector embedding for the text chunks, DSPy declarative LLM integration, Opik observability and optimization, and finally the Streamlit app for runtime.
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DeepWiki generated an overview of how to use the `Strwythura` repo:
https://deepwiki.com/DerwenAI/strwythura/These materials start from Senzing entity resolution, through RDFlib and NetworkX graph representation, spaCy/GLiNER parsing and extraction, TextGraph construction of a lexical graph, LanceDB vector embedding for the text chunks, DSPy declarative LLM integration, Opik observability and optimization, and finally the Streamlit app for runtime.
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DeepWiki generated an overview of how to use the `Strwythura` repo:
https://deepwiki.com/DerwenAI/strwythura/These materials start from Senzing entity resolution, through RDFlib and NetworkX graph representation, spaCy/GLiNER parsing and extraction, TextGraph construction of a lexical graph, LanceDB vector embedding for the text chunks, DSPy declarative LLM integration, Opik observability and optimization, and finally the Streamlit app for runtime.
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Graphs come into play here, since context from knowledge graphs can help guide agents toward better outcomes, and also the “competency questions” used for knowledge graph construction feed nicely into generating evaluations to use for LLM observability. Let’s talk about agent optimizations with Claire!
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Graphs come into play here, since context from knowledge graphs can help guide agents toward better outcomes, and also the “competency questions” used for knowledge graph construction feed nicely into generating evaluations to use for LLM observability. Let’s talk about agent optimizations with Claire!
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Graphs come into play here, since context from knowledge graphs can help guide agents toward better outcomes, and also the “competency questions” used for knowledge graph construction feed nicely into generating evaluations to use for LLM observability. Let’s talk about agent optimizations with Claire!
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Graphs come into play here, since context from knowledge graphs can help guide agents toward better outcomes, and also the “competency questions” used for knowledge graph construction feed nicely into generating evaluations to use for LLM observability. Let’s talk about agent optimizations with Claire!
-
Graphs come into play here, since context from knowledge graphs can help guide agents toward better outcomes, and also the “competency questions” used for knowledge graph construction feed nicely into generating evaluations to use for LLM observability. Let’s talk about agent optimizations with Claire!
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at 0430Z (25 min from now)
https://youtu.be/ZWl5Pb29O-o?si=CTwHlUAlTd5VYZvE
Strwythura release 2.0.x
#Senzing -
at 0430Z (25 min from now)
https://youtu.be/ZWl5Pb29O-o?si=CTwHlUAlTd5VYZvE
Strwythura release 2.0.x
#Senzing -
at 0430Z (25 min from now)
https://youtu.be/ZWl5Pb29O-o?si=CTwHlUAlTd5VYZvE
Strwythura release 2.0.x
#Senzing -
at 0430Z (25 min from now)
https://youtu.be/ZWl5Pb29O-o?si=CTwHlUAlTd5VYZvE
Strwythura release 2.0.x
#Senzing -
at 0430Z (25 min from now)
https://youtu.be/ZWl5Pb29O-o?si=CTwHlUAlTd5VYZvE
Strwythura release 2.0.x
#Senzing -
Senzing is now available in the AWS Marketplace, and you can use Amazon Q to develop your ER workflows.
Fri Nov 21, 08:00 US Pacific / 16:00 GMT
https://watch.getcontrast.io/register/senzing-amazonq-webinarJoin: Jeff Jonas and Jeff Butcher @ Senzing, Tina Myers @ AWS, Eric Chasin @ Simple Technology Solutions -- for a live demo, experience from an organization already transforming their data operations with this approach, and discussion.
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Senzing is now available in the AWS Marketplace, and you can use Amazon Q to develop your ER workflows.
Fri Nov 21, 08:00 US Pacific / 16:00 GMT
https://watch.getcontrast.io/register/senzing-amazonq-webinarJoin: Jeff Jonas and Jeff Butcher @ Senzing, Tina Myers @ AWS, Eric Chasin @ Simple Technology Solutions -- for a live demo, experience from an organization already transforming their data operations with this approach, and discussion.
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Senzing is now available in the AWS Marketplace, and you can use Amazon Q to develop your ER workflows.
Fri Nov 21, 08:00 US Pacific / 16:00 GMT
https://watch.getcontrast.io/register/senzing-amazonq-webinarJoin: Jeff Jonas and Jeff Butcher @ Senzing, Tina Myers @ AWS, Eric Chasin @ Simple Technology Solutions -- for a live demo, experience from an organization already transforming their data operations with this approach, and discussion.
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Senzing is now available in the AWS Marketplace, and you can use Amazon Q to develop your ER workflows.
Fri Nov 21, 08:00 US Pacific / 16:00 GMT
https://watch.getcontrast.io/register/senzing-amazonq-webinarJoin: Jeff Jonas and Jeff Butcher @ Senzing, Tina Myers @ AWS, Eric Chasin @ Simple Technology Solutions -- for a live demo, experience from an organization already transforming their data operations with this approach, and discussion.
-
Senzing is now available in the AWS Marketplace, and you can use Amazon Q to develop your ER workflows.
Fri Nov 21, 08:00 US Pacific / 16:00 GMT
https://watch.getcontrast.io/register/senzing-amazonq-webinarJoin: Jeff Jonas and Jeff Butcher @ Senzing, Tina Myers @ AWS, Eric Chasin @ Simple Technology Solutions -- for a live demo, experience from an organization already transforming their data operations with this approach, and discussion.
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"NIEMOpen for Information Exchange: complex system modeling with knowledge graphs"
with guest Bradley Bolliger from EY
Tue Oct 28, 09:00-10:00 US Pacific
https://watch.getcontrast.io/register/senzing-gphv2e2🎧 Tune in to see how machine-to-machine clarity helps return complex systems to human scale.
#Senzing #ERKG #NIEMOpen -
"NIEMOpen for Information Exchange: complex system modeling with knowledge graphs"
with guest Bradley Bolliger from EY
Tue Oct 28, 09:00-10:00 US Pacific
https://watch.getcontrast.io/register/senzing-gphv2e2🎧 Tune in to see how machine-to-machine clarity helps return complex systems to human scale.
#Senzing #ERKG #NIEMOpen -
"NIEMOpen for Information Exchange: complex system modeling with knowledge graphs"
with guest Bradley Bolliger from EY
Tue Oct 28, 09:00-10:00 US Pacific
https://watch.getcontrast.io/register/senzing-gphv2e2🎧 Tune in to see how machine-to-machine clarity helps return complex systems to human scale.
#Senzing #ERKG #NIEMOpen -
"NIEMOpen for Information Exchange: complex system modeling with knowledge graphs"
with guest Bradley Bolliger from EY
Tue Oct 28, 09:00-10:00 US Pacific
https://watch.getcontrast.io/register/senzing-gphv2e2🎧 Tune in to see how machine-to-machine clarity helps return complex systems to human scale.
#Senzing #ERKG #NIEMOpen -
"NIEMOpen for Information Exchange: complex system modeling with knowledge graphs"
with guest Bradley Bolliger from EY
Tue Oct 28, 09:00-10:00 US Pacific
https://watch.getcontrast.io/register/senzing-gphv2e2🎧 Tune in to see how machine-to-machine clarity helps return complex systems to human scale.
#Senzing #ERKG #NIEMOpen -
I really enjoyed the 6th Annual MLOps World | GenAI Summit in Austin, Texas this week, and am grateful to get to meet and talk with many amazing people in the field, and also get to present about Senzing and where entity resolution, graph technologies, and context engineering meet to address enormous challenges in anti-fraud.
Many thanks to David Scharbach and crew for producing this outstanding event!
Here's a link to my full slide deck: https://derwen.ai/s/khj9#0
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I really enjoyed the 6th Annual MLOps World | GenAI Summit in Austin, Texas this week, and am grateful to get to meet and talk with many amazing people in the field, and also get to present about Senzing and where entity resolution, graph technologies, and context engineering meet to address enormous challenges in anti-fraud.
Many thanks to David Scharbach and crew for producing this outstanding event!
Here's a link to my full slide deck: https://derwen.ai/s/khj9#0
-
I really enjoyed the 6th Annual MLOps World | GenAI Summit in Austin, Texas this week, and am grateful to get to meet and talk with many amazing people in the field, and also get to present about Senzing and where entity resolution, graph technologies, and context engineering meet to address enormous challenges in anti-fraud.
Many thanks to David Scharbach and crew for producing this outstanding event!
Here's a link to my full slide deck: https://derwen.ai/s/khj9#0
-
I really enjoyed the 6th Annual MLOps World | GenAI Summit in Austin, Texas this week, and am grateful to get to meet and talk with many amazing people in the field, and also get to present about Senzing and where entity resolution, graph technologies, and context engineering meet to address enormous challenges in anti-fraud.
Many thanks to David Scharbach and crew for producing this outstanding event!
Here's a link to my full slide deck: https://derwen.ai/s/khj9#0
-
I really enjoyed the 6th Annual MLOps World | GenAI Summit in Austin, Texas this week, and am grateful to get to meet and talk with many amazing people in the field, and also get to present about Senzing and where entity resolution, graph technologies, and context engineering meet to address enormous challenges in anti-fraud.
Many thanks to David Scharbach and crew for producing this outstanding event!
Here's a link to my full slide deck: https://derwen.ai/s/khj9#0
-
The next four weeks will be busy with conferences! Got loads of new Senzing material to show, including some libraries and tutorials which may be quite helpful. Check these highly recommended events:
* Oct 01 Semantic Layer Symposium @ Copenhagen https://semanticlayersymposium.com/
* Oct 02 Senzing Summit
* Oct 08-09 MLOps World Summit @ Austin https://mlopsworld.com/
* Oct 28-30 ODSC West @ SFO https://odsc.com/california/ -
The next four weeks will be busy with conferences! Got loads of new Senzing material to show, including some libraries and tutorials which may be quite helpful. Check these highly recommended events:
* Oct 01 Semantic Layer Symposium @ Copenhagen https://semanticlayersymposium.com/
* Oct 02 Senzing Summit
* Oct 08-09 MLOps World Summit @ Austin https://mlopsworld.com/
* Oct 28-30 ODSC West @ SFO https://odsc.com/california/ -
The next four weeks will be busy with conferences! Got loads of new Senzing material to show, including some libraries and tutorials which may be quite helpful. Check these highly recommended events:
* Oct 01 Semantic Layer Symposium @ Copenhagen https://semanticlayersymposium.com/
* Oct 02 Senzing Summit
* Oct 08-09 MLOps World Summit @ Austin https://mlopsworld.com/
* Oct 28-30 ODSC West @ SFO https://odsc.com/california/ -
The next four weeks will be busy with conferences! Got loads of new Senzing material to show, including some libraries and tutorials which may be quite helpful. Check these highly recommended events:
* Oct 01 Semantic Layer Symposium @ Copenhagen https://semanticlayersymposium.com/
* Oct 02 Senzing Summit
* Oct 08-09 MLOps World Summit @ Austin https://mlopsworld.com/
* Oct 28-30 ODSC West @ SFO https://odsc.com/california/ -
The next four weeks will be busy with conferences! Got loads of new Senzing material to show, including some libraries and tutorials which may be quite helpful. Check these highly recommended events:
* Oct 01 Semantic Layer Symposium @ Copenhagen https://semanticlayersymposium.com/
* Oct 02 Senzing Summit
* Oct 08-09 MLOps World Summit @ Austin https://mlopsworld.com/
* Oct 28-30 ODSC West @ SFO https://odsc.com/california/ -
A new `sz_semantics` library is available in the "Senzing Garage" on GitHub and released as a package on PyPi:
* https://github.com/senzing-garage/sz-semantics
* https://pypi.org/project/sz_semantics/ -
A new `sz_semantics` library is available in the "Senzing Garage" on GitHub and released as a package on PyPi:
* https://github.com/senzing-garage/sz-semantics
* https://pypi.org/project/sz_semantics/ -
A new `sz_semantics` library is available in the "Senzing Garage" on GitHub and released as a package on PyPi:
* https://github.com/senzing-garage/sz-semantics
* https://pypi.org/project/sz_semantics/ -
A new `sz_semantics` library is available in the "Senzing Garage" on GitHub and released as a package on PyPi:
* https://github.com/senzing-garage/sz-semantics
* https://pypi.org/project/sz_semantics/ -
A new `sz_semantics` library is available in the "Senzing Garage" on GitHub and released as a package on PyPi:
* https://github.com/senzing-garage/sz-semantics
* https://pypi.org/project/sz_semantics/