🕸️ 9 months. One knowledge graph. Wrong data. The problem wasn't the tech — it was identity. Without entity resolution underneath, your graph just connects the mess faster. 🔖 learningfromdata.zingg.ai/p/… #EntityResolution #KnowledgeGraph #DataQuality #ZinggAI

Why Union-Find fails for entity resolution at scale, and how weighted graph clustering with safeguards and incremental updates works better in production. #entityresolution #graphalgorithms...Show more

We just launched Ask Senzing. It’s connected to our MCP Server so you’ll get a conversational interface to deep #EntityResolution knowledge. Ask it difficult questions or ask it for a free eval license! hubs.li/Q04kMCdD0 (lower right corner)

Today at Big Data & Analytics Canada Summit in Toronto! Catch Dr. Gurpinder Dhillon at 4:30PM | Track 2 — 🎤 "Confident and Wrong: Why Identity Resolution Is the Missing Foundation for #AgenticAI." #BigDataSummit #EntityResolution #IdentityIntelligence #AI #DataFoundations

If your #KYC still runs on a calendar, you're protecting last year's risk profile. #CustomerRisk is continuous. Compliance should be too. #pKYC, #entityresolution & #UBO readiness, built for how risk moves in 2026. See it in practice 👇 sganalytics.com/financial-cr… #FCC #FRAML

🚨 Tuesday! Catch Dr. Gurpinder Dhillon at #BigDataSummit Toronto — Day 1 | 4:30PM | Track 2 🎤 "Confident and Wrong: Why Identity Resolution Is the Missing Foundation for #AgenticAI." Find Tyler & Nastassia at Booth 7! 🍁 #EntityResolution #IdentityIntelligence

How to Keep Your AI Agent's Knowledge Graph Clean Most tutorials skip the part that actually keeps a graph usable as it grows: separating naming from identity. Paul Iusztin built unified memory layers on top of knowledge graphs and kept running into the same reader question: how do you handle entity resolution and deduplication without corrupting the graph? The answer is a 5-step pipeline: LLM extraction reads the text and emits typed entity/relationship triplets anchored to a POLE O ontology Entity resolution normalizes the name against existing nodes using exact, fuzzy, and semantic matching in a short-circuit chain. No merges yet, just canonical naming Full-context embedding captures the entity's name, type, and attributes for a richer identity signal Deduplication compares that embedding against existing nodes and routes to one of three outcomes: auto-merge (>=0.95), human review (0.85-0.95), or a new node (<0.85) A nightly "dream pass" re-runs deduplication on recently ingested nodes to catch duplicates that were processed in parallel and never compared The key insight: entity resolution and deduplication are two distinct decisions. Resolution asks "what should we call this?" Deduplication asks "is this the same real-world entity?" Conflating them is what silently corrupts graphs. Jensen Huang the NVIDIA CEO and a same-named doctor in Taipei have the same name and the same entity type. Resolution cannot tell them apart. Only full-context deduplication can. False merges are invisible until they are expensive to undo. The pipeline is designed to make irreversible operations earn their way in. By Paul Iusztin decodingai.com/p/keep-knowle… #KnowledgeGraphs #GraphAI #AgentMemory #EntityResolution #AIEngineering -- Connected Data London 2026 | 11–12 November | Leonardo Royal Hotel London Tower Bridge 🎤 Share your work with the world's most passionate data community. The Call for Submissions is open.  connected-data.london/2026-c… 🎟 Tickets on sale now. Early bird discounts up to 30%. 2026.connected-data.london 📺 Sponsorship opportunities available. Contact info@connected-data.london for details. #KnowledgeGraph #GraphRAG #Ontology #Graph #AI #DataScience #GraphDB #SemTech

Introducing Spanner Graph algorithms At Google Cloud Next, Google announced the preview of graph algorithms with Spanner Graph, bringing Google Research's state-of-the-art graph mining capabilities natively into an operational database. Enterprises are increasingly leveraging graph technologies to uncover complex relationships in data for fraud detection, social network analysis, entity resolution, and healthcare research.  Graph algorithms -- such as node centrality and community detection -- are the computational methods used to analyze these structures, quantifying patterns and the strength of connections between entities. Running graph algorithms at scale has historically been challenging and resource-intensive, often requiring complex ETL pipelines to dedicated analytic solutions or risking the transactional performance of the graph database. Spanner Graph algorithms are designed to tackle demanding enterprise workloads without compromising operational database performance: Tight integration with GQL: Directly invoke algorithms using ISO Graph Query Language (GQL) to run structural analytics across your data, minimizing complex data movement to external engines. Near-zero transactional impact: Algorithm execution happens on dedicated compute resources via Data Boost, without custom ETL pipelines. Pay only for what you use. Global insights on billion-edge graphs in minutes: The engine can run algorithms on graphs with tens of billions of edges within minutes, using dense topology encoding optimized for random access. Algorithms available include centrality (betweenness, closeness, PageRank), community detection (label propagation, correlation clustering, modularity clustering, weakly connected components), and similarity/path finding (Jaccard, cosine, set-to-set shortest paths). Customers including DaVita, Yahoo!, SoundCloud, and WPP are already using Spanner Graph algorithms for patient 360, personalization at scale, music graph analytics, and enterprise intelligence. By Bei Li and Vahab Mirrokni cloud.google.com/blog/produc… #SpannerGraph #GraphAlgorithms #GraphDatabase #FraudDetection #EntityResolution -- Connected Data London 2026 | 11–12 November | Leonardo Royal Hotel London Tower Bridge 🎤 Share your work with the world's most passionate data community. The Call for Submissions is open. connected-data.london/2026-c… 🎟 Tickets on sale now. Early bird discounts up to 30%. 2026.connected-data.london?u… 📺 Sponsorship opportunities available. Contact info@connected-data.london for details. #KnowledgeGraph #GraphRAG #Ontology #Graph #AI #DataScience #GraphDB #SemTech

AI-driven discovery is evolving from keyword matching to ontology-driven, intent- and semantics-based systems. Ontology defines meaning structures.
Cognition processes intelligence.
Entity modeling represents real-world concepts. PITN.ai 
Relational logic connects entities across contexts.
Industrial applications depend on consistent semantic frameworks. As digital markets become increasingly multilingual, native-script recognition strengthens discoverability, interoperability, and cross-market identity—especially in humanoid robotics, where terminology consistency matters. Core concepts such as HUMANOID(S), ROBOT(S), and HUMANOID ROBOT are globally recognized yet scarce as exact-match digital assets across languages and scripts. This scarcity elevates the strategic value of internationally aligned naming systems and native-script variants. PITN.ai holds a portfolio of exact-match digital assets spanning 30 languages in this category, supporting semantic discovery, entity resolution, and branding identity layers across global AI ecosystems. #Ontology #Cognition #EntityModeling #RelationalLogic #SemanticAI #KnowledgeGraph #IndustrialAI #HumanoidRobotics #AIInfrastructure #MultilingualAI #EntityResolution #DigitalIdentity #BrandingStrategy #AIInnovation

🌴 Senzing is headed to #SOFWeek in Tampa Mon–Wed! Reach out to Will Layton, Jamie Foss, Suzanne Ryan, Greg Mundell, or Aaron McGuire to connect — or find us at our booth Wed. #EntityResolution #SenzingSponsor #SpecialOperations #NationalSecurity #DefenseTech #SenzingCarahsoft

Shell companies. Proxy owners. Fragmented registries. On 6/4, Senzing Understand Beneficial Ownership break down #EntityResolution to find illicit finance — #BeneficialOwnership, sanctions screening, PEP matching & more. #GraphPowerHour w @pacoid hubs.li/Q04gQ7Fw0

💡 Heading to @TechEx_Event San Jose next week? Stop by Booth #294 and catch Gurpinder's session — "Your AI Doesn't Know What It's Talking About" 🔥 Tues, May 19 | 2:15–2:35PM ⏰ Register 👇 hubs.li/Q04gwj8R0 #IdentityIntelligence #EntityResolution #Senzing #TechEx

See Dr. Gurpinder Dhillon and Martin Waudby at #GartnerDA on Wed 12:25–12:45PM GMT. Stephen Gilderdale, Gurpinder Dhillon, Aaron McGuire and Tyler Carter would love to connect at Booth #321. #SenzingSponsor #EntityResolution #SenzingAI #AI #GartnerLondon

🔥 Heading to #GartnerLondon? Catch Dr. Gurpinder Dhillon & Martin Waudby at 12:25–12:45PM GMT — identity intelligence & agentic AI ROI. Find us at Booth #321! 👋 #SenzingSponsor #EntityResolution #IdentityIntelligence #AI

We're at The Knowledge Graph Conference in NY today through Thurs! Come by and see Stephen Gilderdale, Paco Nathan, Ben Minooei, Jamie Foss, Suzanne Ryan, and Nastassia Meyer. #SenzingSponsor #EntityResolvedKnowledgeGraph #EntityResolvedKnowledgeGraphs #ERKG #EntityResolution

🚨 Where in your org’s infrastructure do you manage #IdentityIntelligence? @JeffJonas explains what identity intelligence infrastructure is, why it’s essential & how to get started. hubs.li/Q04cr4qk0 #AgenticER #EntityResolution

#AI can't help you if your data foundation is broken. See Senzing, @Verisk & AWS speak at #IAS2026 on April 14 from 10:30-11:30AM ET. And find us at Booth #17. hubs.li/Q04bq7PC0 #InsurTech #InsurTechAmerica #EntityResolution #SenzingPartner #SenzingSponsor #SenzingAWS

.@WireScreenAI have partnered to help governments, financial institutions, and enterprises uncover hidden ownership, state influence, and sanctions exposure across China-linked networks. hubs.li/Q04944jB0 #ChinaRisk #EntityResolution #SanctionsCompliance #KYC

🚀 #AgenticEntityResolution just took another giant step forward. We just announced our Senzing for Apache Spark beta program that runs on AWS EMR, Databricks, or Snowflake. hubs.li/Q048ScdC0 #EntityResolution #Fraud #Investigation #SenzingApache

Join @ProfoundNet and Senzing on Wednesday, February 25 at 10AM ET for a webinar showing how Digital #EntityResolution meets traditional entity resolution to solve #DomainMapping #EntityProfile #Compliance problems. hubs.li/Q042f0m50 #SenzingPartner #SenzingWebinar