Christophe Willemsen (@ikwattro) 's Twitter Profile
Christophe Willemsen

@ikwattro

Mission Critical Graph Analytics - @neo4j expert - Enterprise Integration enthusiast - CTO @graph_aware - Fatherx4

ID: 278486993

linkhttps://cwillemsen.com calendar_today07-04-2011 11:19:14

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Andreas Kollegger (@akollegger) 's Twitter Profile Photo

Thrilled to have this course go live! Knowledge graphs expand the context for RAG applications, able to bridge structured and unstructured data to answer a broad variety of user questions.

Christophe Willemsen (@ikwattro) 's Twitter Profile Photo

More than 2 decades of Neo4j experience in a single book, that’s what Luanne Misquitta and myself are sharing with you. Grab it while it’s hot ! oreilly.com/library/view/n…

Doug Turnbull (@softwaredoug) 's Twitter Profile Photo

Vector search isn't just VectorSearch™️ It's all the other, completely different and orthogonal data structures you append to your vector softwaredoug.com/blog/2024/03/2…

GraphAware (@graph_aware) 's Twitter Profile Photo

Melonie Richey, Ph.D., Executive Consultant at Merigold Analytics, emphasized the vital role of UI in graph-based solutions: 'There're a lot of tools [...] but the UI is crucial for analysts to interact effectively with deeply connected data.' 📊 🔍

Jim Webber (@jimwebber) 's Twitter Profile Photo

Graph databases now have an ISO standard query language: GQL, by the same group that standardised SQL. Well done to all involved. iso.org/standard/76120…

Emil Eifrem (@emileifrem) 's Twitter Profile Photo

Ok, this is pretty crazy. SQL has been the lingua franca of database querying since the dawn of time. But for the first time in over three decades (!), ISO just published a NEW database query language called GQL -- the Graph Query Language!

Ok, this is pretty crazy.

SQL has been the lingua franca of database querying since the dawn of time.

But for the first time in over three decades (!), ISO just published a NEW database query language called GQL -- the Graph Query Language!
Giuseppe Futia (@giuseppe_futia) 's Twitter Profile Photo

Check out my new article for Towards Data Science entitled: "Leveraging #AI Synergies for Named Entity Disambiguation". The article describes how to harness the synergy between #LLMs, #KnowledgeGraphs, and #ontologies to pave the way for enhanced NED systems in biomedicine.

Stephen Abbott Pugh (@stephen_abbott) 's Twitter Profile Photo

When implementing beneficial ownership registers, the World Bank Governance team recommends ensuring interoperability, measuring outcomes and standardising data using tools like Open Ownership's Beneficial Ownership Data Standard blogs.worldbank.org/en/governance/…

Open Ownership (@openownership) 's Twitter Profile Photo

Live: Stephen Abbott Pugh - Open Ownership has been working to support governments for 7 years to help them introduce reform to show who really owns companies and other structures. We have an open standard for ownership data that a growing number of governments and institutions...

Live: <a href="/stephen_abbott/">Stephen Abbott Pugh</a> - Open Ownership has been working to support governments for 7 years to help them introduce reform to show who really owns companies and other structures. We have an open standard for ownership data that a growing number of governments and institutions...
Open Ownership (@openownership) 's Twitter Profile Photo

... have adopted the standard (the Beneficial Ownership Data Standard, or BODS). Structuring data according to a standard means that different data types and data sets can be connected internationally. More: openownership.org/en/topics/bene…

... have adopted the standard (the Beneficial Ownership Data Standard, or BODS). 

Structuring data according to a standard means that different data types and data sets can be connected internationally.
More: openownership.org/en/topics/bene…
Open Ownership (@openownership) 's Twitter Profile Photo

What kind of data can we connect #BeneficialOwnership data with if it is structured in a high-quality, standard way? ➡️#procurement ➡️sanctions / politically exposed persons ➡️legal entity This can help journalists, law enforcement, civil society and others #FollowTheMoney

What kind of data can we connect #BeneficialOwnership data with if it is structured in a high-quality, standard way?

➡️#procurement
➡️sanctions / politically exposed persons
➡️legal entity

This can help journalists, law enforcement, civil society and others #FollowTheMoney
Open Ownership (@openownership) 's Twitter Profile Photo

.IMF with a country in the Nordic-Baltic region, once they were able to connect high-quality #BeneficialOwnership data across borders, identified financial flows with higher-risk countries that may warrant closer scrutiny. High quality data➡️more detailed risk-based analysis

.<a href="/IMFNews/">IMF</a> with a country in the Nordic-Baltic region, once they were able to connect high-quality #BeneficialOwnership data across borders, identified financial flows with higher-risk countries that may warrant closer scrutiny.
High quality data➡️more detailed risk-based analysis
Open Ownership (@openownership) 's Twitter Profile Photo

Using GraphAware graph technology and Open Ownership's Beneficial Ownership Data Standard means you can get immediate insights and visualisations when combining or connecting multiple data sets. Christophe Willemsen explains in today's #webinar, also with Stephen Abbott Pugh. #OpenStandards

Using <a href="/graph_aware/">GraphAware</a> graph technology and Open Ownership's Beneficial Ownership Data Standard means you can get immediate insights and visualisations when combining or connecting multiple data sets. 

<a href="/ikwattro/">Christophe Willemsen</a> explains in today's #webinar, also with <a href="/stephen_abbott/">Stephen Abbott Pugh</a>. #OpenStandards
Open Ownership (@openownership) 's Twitter Profile Photo

.Christophe Willemsen also did a visualisation using Open Ownership's whole data set, to show ownership relationships that have 5+ levels. Traditional data structures cannot manage this, but using Beneficial Ownership Data Standard data from the OO register and GraphAware it is possible:

.<a href="/ikwattro/">Christophe Willemsen</a> also did a visualisation using Open Ownership's whole data set, to show ownership relationships that have 5+ levels.

Traditional data structures cannot manage this, but using Beneficial Ownership Data Standard data from the OO register and <a href="/graph_aware/">GraphAware</a> it is possible:
Open Ownership (@openownership) 's Twitter Profile Photo

For example, switching from tables to graphs makes it a lot easier to understand these structures. Explore the Open Ownership Register: register.openownership.org

For example, switching from tables to graphs makes it a lot easier to understand these structures. 

Explore the Open Ownership Register: register.openownership.org
Open Ownership (@openownership) 's Twitter Profile Photo

Live in today's webinar: It is also possible to identify circular ownership structures using the GraphAware HUME tech and data structured according to Open Ownership's data standard, the Beneficial Ownership Data Standard. #OpenData #DataStandards #BeneficialOwnership

Live in today's webinar: It is also possible to identify circular ownership structures using the <a href="/graph_aware/">GraphAware</a> HUME tech and data structured according to Open Ownership's data standard, the Beneficial Ownership Data Standard. 

#OpenData #DataStandards #BeneficialOwnership
Open Ownership (@openownership) 's Twitter Profile Photo

In case you missed today's #webinar with Stephen Abbott Pugh, Christophe Willemsen and GraphAware on unlocking complex #BeneficialOwnership investigations, check out the recording: youtube.com/watch?v=BO6TVN…