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Neo4j: Boost Supply Chain Resilience with Graph Database and Analytics

To discover how to boost your supply chain resilience, join us for this 40 minute webinar where we walk through real-world examples from Ennoconn. A leading industrial device manufacturer, Ennoconn uses graph technology from Neo4j and Gemini Data to minimize overstock, control cash flow, and survive disruptions.

Neo4j: Unlock Responsible Innovation: Grounding Your LLM with Neo4j

The possibilities of Generative AI and LLMs are boundless – as long as the results are accurate and explainable. To learn how your organization can confidently adopt Generative AI, join us for this 45-minute fireside chat featuring Neo4j’s Dr. Jesús Barrasa and Nick Johnson, along with our special guests, Dr. Ali Arsanjani, Google Cloud and Geraldene Munsamy, Basecamp Research.

Neo4j: A Global Tour: 7 Business Breakthroughs with Graph

Could your data take your business further? Join us for a 30-minute tour to discover how seven enterprises around the world use Neo4j's graph technology to make breakthroughs in fraud prevention, supply chain optimization, pharmaceuticals, and more.

El camino hacia el éxito con los grafos, la ciencia de datos de grafos y la IA generativa

Descubre la plataforma de grafos Neo4j en detalle y su ecosistema centrado en la base de datos de grafos nativa Neo4j, incluyendo : Arquitectura de grafos nativa, el componente central de la plataforma Neo4j, y el lenguaje de consulta Cypher Cargas de trabajo híbridas (transaccionales Y analíticas), con Graph Data Science y extensiones de IA generativa Herramientas potentes y fáciles de usar para desarrolladores de aplicaciones basadas en grafos Integración en sus ecosistemas informáticos Seguridad de Neo4j, que lo convierte en una solución empresarial de confianza (encripración, SSO, VPC dedicados, control de acceso basado en funciones, certificaciones, etc.) Despliegue en la nube con la solución Neo4j Aura totalmente gestionada

La strada verso il successo con i database a grafo, la Graph Data Science e l'IA generativa

Scoprite in questo webinar la piattaforma a grafo Neo4j in dettaglio, e il suo ecosistema incentrato sul database a grafo nativo Neo4j che include : L'architettura a grafo nativa, il componente centrale della piattaforma Neo4j, e il linguaggio di interrogazione Cypher. Carichi di lavoro ibridi (transazionali e analitici), con estensioni alla graph data science e all'IA generativa Strumenti facili da usare per gli sviluppatori di applicazioni Integrazione nei vostri ecosistemi IT, con il connettore Spark,, il connettore Spark e il connettore BI Sicurezza in Neo4j, una soluzione aziendale affidabile (crittografia, SSO, VPC dedicati, controllo dell'accesso basato su ruoli, certificazioni, ecc.) Hosting on-premise e cloud con la soluzione Neo4j Aura completamente gestita

La voie du succès avec les bases de données de graphes, la Graph Data Science & l’IA générative

Découvrez dans ce webinaire la plateforme de graphes Neo4j de manière détaillée, et son écosystème centré sur la base de données de graphes native Neo4j comprenant : L’architecture de graphe native, composant-coeur de la plateforme Neo4j et le langage de requête Cypher Les workloads hybrides (transactionnels ET analytiques), avec les extensions graph data science et IA générative L’outillage riche et simple d’accès pour le développeur d’applications basées sur les graphes L’intégration dans vos écosystèmes IT, avec le connecteur Spark, le connecteur datawarehouse, le connecteur Spark et le connecteur Neo4j pour la BI La sécurité Neo4j qui en fait une solution entreprise de confiance (chiffrement, SSO, VPC dédiés, contrôle d’accès basé sur les rôles, certifications, …) L’hébergement on-premise et dans le cloud avec la solution entièrement infogérée Neo4j Aura

5 Signs You Need a Graph Database

Are you struggling to navigate your complex data using a traditional database? Join this 30-minute webinar to explore five common problems – and how you can solve them.

Why Graph Databases Belong in Your Enterprise Stack

Enterprises today face an ever-increasing set of tools for storing and managing data. But which ones deserve a spot in your toolbox, meeting your business needs while working within your existing ecosystem? Discover how graph databases fit the bill in this 30-minute webinar.

Neo4j: Getting Started With Knowledge Graphs: A Guide for Data Practitioners

Looking for a better way to reveal connections and extract insights from a vast sea of data? Join us for this 45-minute introductory webinar on knowledge graphs with Dr. Jesús Barrasa, our expert in semantic technologies. Dr. Barrasa will walk through the fundamentals of knowledge graphs and graph databases, design and implementation best practices, and real-world use cases.

Unlock the Power of Graph Thinking: Revolutionize Data Modeling & Processing for Next Level Insight

Think relational databases are your most effective tool for data modeling and processing? It’s time to revolutionize the way you think about your data. In this 45-minute webinar, learn how graph technology enables organizations to quickly model and unlock insights in vast, complex data – making breakthroughs in everything from cancer treatment to space exploration.

Introduzione a Neo4j

Probabilmente avrete sentito l’espressione: “I dati sono il nuovo petrolio”. Ma come si fa a dare un senso a questi dati e a capire come tutto è collegato? È qui che entra in gioco Neo4j, leader e pioniere nella tecnologia dei grafi. Unitevi a Marco Bessi, responsabile della prevendita di Neo4j, per un’esplorazione approfondita dei database a grafo. Scoprite come possono aiutarvi ad analizzare le strutture complesse dei vostri dati e le loro relazioni. Immergetevi nell’affascinante mondo dei dati connessi e imparate a sfruttare le nuove possibilità per ottimizzare i vostri progetti e le vostre decisioni. In questo webinar di 30 minuti imparerete: Cosa sono la tecnologia a grafo e Neo4j Come le aziende Fortune 100 stanno utilizzando la tecnologia a grafo per ottenere un vantaggio competitivo Come modellare, importare, esplorare e interrogare dati campione utilizzando Neo4j.

Introducción a Neo4j

-En este webinar de 30 minutos, aprenderás: - Qué es la tecnología de grafos y Neo4j - Cómo las empresas Fortune 100 están utilizando la tecnología de grafos para obtener una ventaja competitiva - Cómo modelar, importar, explorar y consultar datos utilizando Neo4j.

Introduction à Neo4j

Dans ce webinaire de 30 minutes, vous apprendrez : - Ce que sont la technologie des graphes et Neo4j - Comment les entreprises du Fortune 100 utilisent la technologie des graphes pour obtenir un avantage compétitif - Comment modéliser, importer, explorer et interroger un échantillon de données à l'aide de Neo4j.

Neo4j: Demystifying Graph Neural Networks

Join us for this 30-minute session to hear from Zach Blumenfeld, Neo4j’s Data Science Specialist, to learn the basics of Graph Neural Networks (GNNs) and how they can help you to improve predictions in your data.

Neo4j: Faster Data Insights with Graph on Azure

Neo4j AuraDB is now available on Microsoft Azure, enabling businesses to uncover hidden relationships across their data effortlessly – so they can solve their most pressing problems! Join us for a 45-minute webinar to explore the benefits you'll gain from pairing these two leading solutions, get a real-world demo, and more.

Neo4j: ChatGPT and Knowledge Graphs - what does this mean for organisations on the path to AI

Join our chat with Jim Webber, author and Chief Scientist at Neo4j to hear his perspective on the growth of Large Language Models (LLM) such as chatGPT and why you should combine them with a Knowledge Graph. Jim will use his experience of working at the fusion point of technology and business to provide some of his unique perspectives for organisations that are struggling to create insight from the huge amounts of data they create and will provide some of his thoughts on where this AI is going and what companies should be thinking about next!

Full Stack GraphQL Applications: Leveraging the Power of GraphQL

Join us for this 45-minute webinar to hear from William Lyon, author of Full Stack GraphQL Applications, as he shows you how to design, deploy, and maintain a GraphQL API from start to finish and take full advantage of GraphQL’s performance capabilities.

Graph & Telecom A Natural Match of Network and Connections

Telecommunications is all about connections. Graph databases are, therefore, an excellent fit for modeling, storing and querying telecommunications data of all kinds. Whether managing increasingly complex network structures, ever-more-diverse product lines and bundles, or customer satisfaction and retention in today’s competitive environments, graph databases enable businesses to become more agile by leveraging their connected data. Sopra Steria has developed an Intelligent Network Analysis tool (INA) that allows you to make complex root-cause and impact analyses, give recommendations for various use cases and simulate how certain changes would affect the network. In this webinar you will learn - how INA is architecturally built and what functions INA has - typical UseCases for Network-Planning, -Operations and –Engineering - how manual and automatic Simulations could bring benefit in the Telcom Domain - how Knowledge Graph and Digital Twin will support your business

Data Insights From Graph at Unbounded Scale With Neo4j

Join us for this webinar to find out how Neo4j Graph Database powers use cases ranging from network optimization and fraud prevention to supply chain and drug discovery. Hear from Neo4j experts about recent innovations in performance, scaling out, and cloud operations.

Knowledge Graphs Fuel Drug Discovery: How Astrazeneca Uses Neo4j Extended

Graph Data Science: Transforming How Data Scientists Power Their Analysis

Join us for this two-hour webinar to hear from graph data science experts and customers as they show you how to improve your models and make better predictions by analyzing the relationships found in your data.

Innovation en machine learning : des données connectées pour des prédictions plus efficaces

Session Tech Neo4j: Innovation en machine learning : des données connectées pour des prédictions plus efficaces. Une IA explicable, contextuelle et précise, des pipelines d’entraînement et d’exécution de modèles prédictifs industriels : voilà l’efficacité recherchée par les data scientists. La base de données de graphes Neo4j permet d’exploiter les relations entre les données et de lancer des flux de travail où les algorithmes de graphes calculent de nouvelles caractéristiques qui enrichissent les modèles prédictifs et donnent un sens nouveau aux données, quelles qu’elles soient. Nous constaterons cela sur le dataset de publications scientifiques CORA, bien connu dans l’écosystème de la data science : Neo4j et les graph embeddings y permettent de gagner 20 points de précision pour prédire la catégorie d’un papier de recherche. Nicolas Rouyer, Senior Pre-Sales, Neo4j

BNPP : utilisation d'une base de données graphes pour renforcer la lutte contre la fraude digitale

Neo4j x BNPP PF : utilisation d'une base de données de graphes pour renforcer la lutte contre la fraude digitale (Atelier Big Data Paris & AI 2022) Dans le cadre de la lutte contre la fraude, les connexions existant entre des dossiers de crédit peuvent constituer une source d'information à forte valeur ajoutée mais la multiplicité des points de contacts possibles peut rendre difficile leur traitement en temps réel. En s'appuyant sur la base de données de graphes Neo4j, BNPP PF a mis en place une solution combinant l'exploitation de ces connexions plus ou moins cachées et la performance d'algorithmes de machine learning pour renforcer son dispositif. Mehdi Barchouchi, Responsable Innovation Data & Outils – Direction des Risques France @BNP Paribas Personal Finance Edouard Tabary, Responsable innovation & data science - Centre de Scoring @BNP Paribas Personal Finance

Connected Data Series: From Digital Economy to Data Economy: The Evolution with Connected Data

As we adjust to the global changes brought on by the pandemic, the world is quickly becoming more digital. Nations across the globe are accelerating their efforts to transform along with the digital economy. The foundational layer of this digital revolution is connected data. Modern leaders realize that powerful graphs drive innovation and transformation. Join us to hear Dato’ Ng Wan Peng of Malaysia, Dr. Hamman Riza of Indonesia, and Mr. Howie Lau of Singapore as they discuss the power of connected data to help them lead the development of their respective nation’s digital agendas. At this must-attend event, you’ll learn how Indonesia EMAS 2045, Malaysia Digital, and Singapore Smart Nation implemented their aspirations.

Safeguard Your Data: Encryption, User Authentication, and More

In today's business world, data is everything. From customer information to financial records, businesses rely on data to make critical decisions and stay ahead of the competition. However, this data is also a valuable target for hackers and criminals. In this 45-minute webinar you’ll learn how Neo4j enables you to safeguard your most important asset, your data.

Cuando las relaciones importan: análisis con Neo4j y GDS

Accelerate Intelligent App Development with Neo4j and Google Vertex AI

Join us for this webinar designed specifically for data scientists and Cloud Architects to learn about Neo4j’s leading graph technology and Google Cloud Vertex AI to apply graph feature engineering to your own datasets. We’ll walk through just a few simple steps to deploy Neo4j and Vertex AI on Google Cloud to begin building a machine learning pipeline with a real-world dataset powered by Neo4j Graph Data Science to improve predictions in Google Cloud Vertex AI.

Quando le relazioni contano: analisi antifrode con Neo4j e GDS

Knowledge Graphs: La Force du Graphe de Connaissance

What’s New in Graph Data Science: Faster and Easier Than Before

Neo4j Graph Data Science is a powerful platform, purpose-built to extract meaning from data relationships to answer business-critical questions. Join us for a 45-minute webinar to hear about key features of the newest release, now available fully managed on Google Cloud Platform.

Introducción a Neo4J (2022)

¿Quieres profundizar sobre bases de datos de grafos? Queremos equiparos con todo el conocimiento y herramientas que necesitas para tener éxito, comenzando con capacitación práctica y oportunidades de certificación Neo4j.

Graph Embeddings: 5 Ways Your AI Can Learn From Your Connected Data

Implemented in production-grade within the Neo4j Graph Data Science library, Graph Embeddings are an advanced AI technology used to translate your connected data – knowledge graphs, customer journeys, and transaction networks – into a predictive signal. Applications of Graph Embeddings are numerous: finding fraud, entity resolution and disambiguation, improving product recommendations, discovering new drugs and predicting churn.

The Pandora Papers: Exposing Financial Crime with Graph Technology

The largest investigation in journalistic history, the Pandora Papers revealed a shadow financial system implicating hundreds of well-known figures. Join us for 75-minutes for an interview with ICIJ journalists Emilia Diaz-Struck and Miguel Fiandor Gutiérrez, who share how graph-based analytics made it all possible.

Servier & Pegasus - Graphe de connaissances pour supporter la recherche de nouveaux médicaments

Les données produites dans le secteur pharmaceutique sont très hétérogènes, obtenues expérimentalement, générées à partir de modèles d'intelligence artificielle et sont de provenances multiples. Nous concevons et développons le graphe de connaissances Pegasus qui vise, en plus de capitaliser sur des données actuellement disponibles, à explorer l'environnement complexe des cibles thérapeutiques, à identifier des modalités de criblage pertinentes pour les moduler et à soutenir le dérisquage de nouvelles modalités expérimentales. Dans un premier temps nous détaillons la conception du modèle de données de Pegasus. Puis, nous exposons des applications industrielles de Pegasus pour des projets thérapeutiques exploratoires. La première application porte sur la caractérisation des effets hors cibles de perturbateurs. La deuxième porte sur le dérisquage d’une nouvelle modalité expérimentale. La troisième détaille la conception de librairies focalisées pour le criblage de perturbateurs. Enfin, la quatrième application précise l’utilisation envisagée de signatures phénotypiques obtenues à partir de campagnes de criblages à haut contenu afin de relier les mondes biologiques, chimiques et phénotypiques. Dans l'ensemble, le graphe de connaissances Pegasus et ses applications soutiennent la prise de décisions et supportent les phases primaires de recherche et de découverte de nouveaux médicaments.

Meet the Women Leading Innovation in Knowledge Graphs

Women are leading innovation with knowledge graphs across industries, shaping the data landscape for years to come. This must-attend event features women leaders from top enterprises who will discuss their experience developing solutions with knowledge graphs.

Graphes & Blockchain : Comprendre l'essor phénoménal des NFT

La blockchain a de nombreuses applications aujourd’hui, et pas uniquement dans les cryptomonnaies. Ce registre est partagé simultanément par tous ses utilisateurs et permet de sécuriser les transactions grâce au chiffrement et à la décentralisation. Les cas d’utilisation de la blockchain sont nombreux et multi-sectoriels : Banque : validation des transactions Assurance : automatisation des procédures de remboursement Logistique et agro-alimentaire : traçabilité des produits Energie : échange de services et de valeurs dans des réseaux locaux de production et de revente d’énergie Art et jeux vidéos : digitalisation d’oeuvres échangeables via des tokens Le système de blockchain est en lui-même un graphe qui contient l’historique de toutes les transactions, les nouveaux blocs de données étant “chaînés”, reliés aux blocs existants. Dans le cas des cryptomonnaies, la blockchain sert à vérifier et valider les transactions. Enfin, les NFT, “Non-Fungible Tokens” sont des certificats numériques infalsifiables qui attestent l’authenticité d’un objet virtuel (metavers, tweet de personnalité, etc.). Les NFT font l’objet de grandes spéculations au sein de la blockchain Ethereum. C’est ce monde fascinant des NFT et de la blockchain que l’on vous propose de vulgariser et d’explorer dans un graphe de connaissances Neo4j. Romain Dumaine, SDR chez Neo4j et spécialiste de la blockchain, sera accompagné de Nicolas Rouyer, Pre-sales chez Neo4j, pour décrypter les cryptomonnaies, ouvrir le capot de la blockchain et comprendre l’essor phénoménal des NFT.

Neo4j: Optimize Your Supply Chain with Knowledge Graphs, IoT, and Digital Twins

With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets. Join Dr. Maya Natarajan and Dr. Michael Moore for this 60-minute webinar, where you’ll learn what a knowledge graph is and how to use it as a digital twin for supply chain management.

Webinar: Analisi delle Reti efficace con Neo4j e GDS

La Graph Data Science (GDS) sfrutta la potenza delle connessioni tra i dati stessi per analizzare le loro relazioni, analizzare i pattern presenti nei dati ed effettuare facilmente analisi d'impatto sulla rete. Unisciti a noi per questo webinar in cui discuteremo: Come le reti siano facilmente modellabile sotto forma di grafo; Come la GDS possa essere uno strumento fondamentale per l'analisi delle relazioni esistenti nel grafo e di come i risultati ne riflettano i benefici; Come permettere di visualizzare graficamente la rete stessa (anche a personale non tecnico) con il minimo sforzo e con il supporto di un suggeritore automatico dei pattern presenti nei dati.

Neo4j: How to Boost Supply Chain Resilience with Google Cloud and Neo4j

Many organizations in the manufacturing space are using Neo4j to solve core AI use cases. Do you want to learn how to use graph technology for a competitive advantage? Join us for a 60-minute session on how Neo4j Aura, the leading graph database as a service on Google Cloud, is enabling manufacturing organizations to address key data management challenges – from supply chain optimization, to warranty, fraud, and process automation.

Neo4j: An Insider’s Guide: Graph Data Science for Really Big Data

Do you want to use graphs in your machine learning pipelines or analytics dashboards but wonder about feasibility for larger volumes of data? Neo4j built Graph Data Science from the ground up to handle the biggest datasets you can come up with. Join this event to learn all the tips and tricks to running graph algorithms quickly and effectively at scale.

AuraDB : Découvrez la puissance de Neo4j dans le cloud

Pour vos expérimentations comme pour vos projets les plus critiques, retrouvez toute la puissance, la flexibilité et la sécurité de Neo4j dans une solution entièrement gérée. AuraDB, c’est un environnement Neo4j sans contrainte d’administration, disponible à l’échelle globale. Durant ce webinaire, nous découvrirons par la pratique toutes les étapes allant de l’inscription au service AuraDB jusqu’au déploiement de votre application Avec Pierre Haltermeyer

Comment Adeo améliore l'expérience client de ses sites e-commerce grâce au Knowledge Graph

Comment Adeo (Leroy Merlin) améliore l'expérience client de ses sites e-commerce grâce au Knowledge Graph

Neo4j Bloom 2.0: The Fastest Path to Graph Data Visualization

Neo4j Bloom streamlines conversations and projects across teams. Its illustrative, codeless search-to-storyboard design makes Neo4j Bloom the ideal interface for non-technical project participants to share in the innovative work of their graph analytics and development teams. In this 45-minute session, you’ll learn about Neo4j Bloom from Jeff Gagnon, Product Manager at Neo4j. Jeff will take you through the mechanics of Neo4j Bloom and show how easy it is for businesses to explore and investigate their graph data.

Introducing Neo4j 4.4: The Fastest Path to Graph Database Productivity

Neo4j 4.4, the latest release from Neo4j, empowers developers by giving them full control over how their applications interact with the database – including robust data pipelines, machine learning (ML) and AI, streaming data from sources like Kafka, and more. Join us for a special webinar on Neo4j 4.4 and how it builds on the most trusted, scalable, secure database for performance and data integrity. In this 45-minute session, Ivan Zoratti (Director of Product Management at Neo4j) and Stu Moore (Product Manager at Neo4j) will walk you through the new additions and feature enhancements, provide a demo of 4.4, and answer all your questions.

The Summit: Visualising an Intelligent, Secure Supply Chain

Watch Maya Natarajan, Senior Director Knowledge Graphs, at Neo4j; George Eapen, Group CISO at Petrofac and Edosa Odaro, Head of Data at AIG, in discussion as they share their insights and experiences on Visualising an Intelligent, Secure Supply Chain. Moderator: Jon Bernstein, Technology Journalist, Editor and Moderator Roundtable organised by HotTopic's

Trillion graph : Distribuer les données connectées sur des centaines d'instances Neo4j

Dans ce webinaire vous découvrirez : - comment passer à l'échelle quand on a des données connectées très volumineuses - comment déployer un graphe distribué dans le cloud - comment régler les problèmes réseau rencontrés Prêts à passer à l'échelle en production avec Neo4j ?

Making connections matter: 2 use cases on graphs & analytics solutions

Marion Robin & Simone Bom - Deloitte NL In this webinar, we will showcase the best strategies to initiate graph projects and share some of the analytics solutions we have developed with our customers. We will deep dive into two use cases where connections make a difference: - Data quality management for highly complex manufacturing products: Here we will show how Graph technology can improve data quality by accelerating data inconsistency detection and reporting in densely connected data, using the example of Bill of Materials. - Smart assistant for online customers: With this use case we will show the impact of connected data for expert recommendations and how it can be combined with chatbots for improved online customer experience

Graph Embeddings: The Secret Ingredient for Relationship-Driven AI

Maybe you’ve heard about using graph data, or relationships, in machine learning pipelines for better accuracy or new types of predictions. But you’ve probably wondered: how exactly do I improve my predictive accuracy? The answer is graph embeddings: a technique to translate your graph into the right representation of your problem. In this webinar, Dr. Alicia Frame will present on graph embeddings in Neo4j: a data encoding technique that allows you to make highly accurate predictions based on graph structure. Zach Blumenfeld will do a demo of graph embeddings from a consumer data set, showing you how to make accurate recommendations.

Interrogez vos données connectées en langage naturel avec un chatbot

Dans ce webinaire, nous allons connecter un chatbot avec Neo4j, soit une interface en langage naturel pour parler à ses données connectées ! Nous aborderons l'écosystème technique, la plateforme, une API GraphQL, et bien sûr Neo4j.

Graph Data Science & Réseaux Sociaux : Détecter l’émergence de nouvelles tendances

L'émergence du web 2.0 et des réseaux sociaux a vu l’utilisateur devenir non seulement un consommateur, mais aussi un créateur de contenu. C’est donc naturellement par la modélisation en graphe, et en considérant l’utilisateur comme l’un des sommets du graphe induit par les relations qu’il entretient avec ses semblables, que l’on peut tirer le meilleur parti de ces données. Les méthodes d’analyse des réseaux sociaux, situées au confluent de la sociologie, du data mining et de la théorie des graphes, sont les principaux outils à notre disposition. Neo4j, base de données graphe native, munie de son écosystème analytique et de sa bibliothèque Graph Data Science (GDS), sont le choix incontournable de tout professionnel désirant réaliser une telle tâche de manière productive et scalable. Nous visiterons, au sein de ce webinaire, les différents cas d’usage, approches et méthodes de l’analyse des réseaux sociaux. Puis, via une démonstration basée sur un corpus de tweets, nous montrerons la pertinence de Neo4j/GDS pour détecter l’émergence d’une tendance ou d’un fait à partir de signaux faibles issus des médias sociaux.