We are now part of Neo4j, please visit us at: https://xitter.cf/t.co/2vpbnX63yT

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Joined April 2013
Police forces already hold vast amounts of intelligence. The challenge is turning fragmented information into operational understanding before opportunities are missed. In this joint article, GraphAware and Neo4j explore how connected intelligence helps analysts surface critical relationships faster while keeping every insight explainable and evidence-based. [ADVERTISEMENT FEATURE] policinginsight.com/feature/… 💡 Read more articles from the 'Transform intelligence with GraphAware' series: policinginsight.com/series/t… @graph_aware @neo4j
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Criminal networks operate across cases, locations and time, but intelligence often remains tied to individual incidents. That gap makes it harder to understand how activity is organised. This article explores how connecting information across investigations helps reveal the wider network and supports more targeted, effective responses to organised crime. [ADVERTISEMENT FEATURE] policinginsight.com/feature/… @graph_aware
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🎥 From the OAI Conference Archives @AlessandroNegro (Chief Scientist, @graph_aware) shows how Knowledge Graphs + LLMs enable better decisions in high-stake domains like law enforcement, healthcare, and finance. 📍 Go deeper at #OAI2026 🗓 Mar 30–31 | Atlanta 🔗Register to attend: oaiconference.com/event-deta… 🎟 EB2026 | 👥 GROUP30 🙌 Volunteer: docs.google.com/forms/d/e/1F… 💬 Join Discord: discord.com/invite/fBmRNbb3F… #OAI2026 #KnowledgeGraphs
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🕵️‍♂️ Supercharge network analysis with Alessandro Negro, Chief Scientist at @graph_aware, in his masterclass: “Combine Knowledge Graphs and LLMs to speed up criminal network analysis: A hands-on tour” Learn how to merge knowledge graphs and LLMs to uncover hidden patterns in complex relational data and generate professional intelligence reports faster, more reliably, and with explainable outputs. In this hands-on session, you’ll: ✅ Transform raw relational data into meaningful co-occurrence networks ✅ Apply graph analytics, community detection, and centrality measures ✅ Build multi-agent AI workflows using LangGraph ✅ Implement systematic prompt engineering and evaluation frameworks Perfect for data scientists, AI engineers, and analysts working with complex relational data. 👉 Join Alessandro at Connected Data London 2025 on 20–21 November at the Leonardo Royal Hotel London Tower Bridge. Reserve your spot: 2025.connected-data.london/t… #CDL25 #ConnectedDataLondon #KnowledgeGraphs #GraphAnalytics #LLM #GraphRAG #ExplainableAI #DataScience #NetworkAnalysis
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TODAY from 12-1 PM ET, join @pacoid's Graph Power Hour with guest Christophe Willemsen on "Connecting the Dots: @Graph_Aware on Modern Intelligence" to see how Hume brings clarity and speed to analysis. hubs.li/Q03JVCYK0
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GraphAware retweeted
Thrilled to announce the #NODES2025's agenda! 🥳 @ikwattro, CTO, @@graph_aware Author, O’Reilly, Ohad Levi, Co-founder and CEO, @HyperSpace, Seema Naswa, General Manager, Microelectronics Security, Amida Technology Solutions, and many, many more amazing speakers will be joining this 24-hour live event going deep about: 😍Graph databases 😍AgenticAI 😍Knowledge graphs 😍Visualization, and more... Learn from the best, discover what’s next! Check out the agenda, per region, here: bit.ly/488HjE0 #NODES2025 is happening on November 6, 2025... Register for FREE! #Neo4j ,
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GraphAware retweeted
Meet the featured speakers for #NODES2025! We’re thrilled to welcome leading voices in AI, graph tech, and developer education to this year’s virtual stage! Want to join them? Submit your talk for NODES 2025 by June 15: neo4j.com/blog/nodes/nodes-b… #Neo4j bit.ly/4kiEYJE
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Not big on RAG but love LLMs? Then see @AlessandroNegro's 10:45 AM ET talk at @southerndsc: “Knowledge Graphs and LLMs in Action – {GraphAware}.” Details: loom.ly/MBWzYu4 Grab 45% off Knowledge Graphs and LLMs in Action w/ OAIconf25 (exp. 5/31): loom.ly/ml7pqHg
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Call Detail Records (CDRs) offer a wealth of potential insights, but their analysis is hindered by several challenges. Traditional tools struggle to handle the massive volume and intricate structure of CDR datasets, often limited to static and linear data views. This makes it difficult to identify complex patterns, relationships, and anomalies. Furthermore, fragmented workflows and manual tasks slow down analysis and increase the risk of errors. To fully harness the value of CDR data, more advanced, integrated solutions are necessary to address these limitations and enable efficient, comprehensive analysis. [ADVERTISEMENT FEATURE] policinginsight.com/feature/… @graph_aware 🚨Explore the 'Transform intelligence with GraphAware' series: policinginsight.com/series/t…
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Replying to @graph_aware
@graph_aware @ikwattro @kyckr_official @SayariLabs @memgraphdb @pacoid @rjurney @Facctum Bank for International Settlements innovation hub challenge: how can AI be used to better identify illicit activity in the financial system?
Take part in the BIS Innovation Hub’s 2025 Analytics Challenge! Join us and compete to develop innovative solutions to combat financial crime and enhance the integrity of the evolving global financial system. Find out more here bis.org/about/bisih/2025_ana…
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The #SenzingUserConference last week was a success!! A HUGE thank you to our sponsors and to everyone who attended! @Carahsoft @WinPure @EYnews @graph_aware @sirensearch @Linkurious
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And Christophe Willemsen @graph_aware
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GraphAware retweeted
Join our upcoming webinar w Friedrich Lindenberg of @open_sanctions, @ikwattro of @graph_aware & @BorisKusha of Senzing. Learn how to leverage new technology to detect high-risk transactions & entities for #AML investigations. bit.ly/Senzing-OpenSanctions…
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GraphAware and Senzing Partner to Enhance Graph Analytics with Advanced Entity Resolution ow.ly/VINx50SqUmh #datanami #TCIwire
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Need to build comprehensive 360-degree views of entities for #UBO, investigations, intelligence, cyber defense or law enforcement? Learn about mission-critical graph analytics software from #SenzingPartner @graph_aware Hume. bit.ly/graph-analytics-graph… #ERKG @Neo4j @openstreetmap
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Multiple datasets can generate duplicate entities. What's the best way to graph those? Using entity resolution first for an #EntityResolvedKnowledgeGraph. Check out this post from Marigold Analytics to learn more. towardsdatascience.com/entit… #EntityResolution #ERKG
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Using @graph_aware 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. @ikwattro explains in today's #webinar, also with @stephen_abbott. #OpenStandards
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.@ikwattro 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 @graph_aware it is possible:
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