This document discusses using graph databases, graph data science, and generative AI to unlock insights from connected data. It highlights how relationships in data are valuable, and how graph databases provide an intuitive way to represent and query relationship data. The document introduces Neo4j's graph database capabilities, including graph algorithms for analytics, machine learning on graphs, and integration with other data systems. It also discusses using Neo4j to ground language models for more accurate generative AI applications.
Danish Business Authority: Explainability and causality in relation to ML OpsNeo4j
by Joakim Sandroos, Senior Data Scientist at Danish Business Authority
At the Danish Business Authority (DBA), machine learning (ML) is utilized in the role of decision support. In order to build ethical ML on a solid scientific understanding, explainability and traceability are mission critical. DBA utilizes an in-house developed Directed Acyclic Graph (DAG) tool, RecordKeeper, to preserve causality information between business events on their platform. Via flow analysis, they identify Springs and Sinks in their dataset to mitigate overall model bias.
5G SA security: a comprehensive overview of threats, vulnerabilities and rem...PositiveTechnologies
Mobile network operators are planning to invest heavily in coming years to implement the transition to stand-alone 5G. However, in likening to 5G with interconnected infrastructure, 5G SA is prone to protocol vulnerabilities that can allow the malicious actor to impersonate subscribers, disclose subscriber profiles and cause a denial of service (DoS).
What you'll learn:
- How to spot the various types of threats in the 5G stand-alone core
- Network misconfigurations that open doors to attacks on subscribers
- 5G SA protocol components that malicious actors actively target
- An effective security strategy for the avoidance of network disruption
spocto's unique machine learning algorithms & artificial learning which provides solution to create persona.
spocto analytics has improved the Contact Rate, Debt Collections and Non Performing Asset Management for a leading Bank in India
CTO at Positive Technologies, Dmitry Kurbatov discusses what kind of security risks are associated with 5G telecommunications networks and to what extent thеse risks could be managed. Topics include:
• How the 5G core network will work, and how it differs from the current telecom infrastructure.
• Benefits that the innovative 5G slicing technology can bring, and what its security risks will be.
• What new protocols, interfaces, and infrastructure-enhancing technologies like network functions virtualization will take off in the near future.
• Compatibility concerns with 4G, 3G, and 2G networks. What does this mean for 5G?
Danish Business Authority: Explainability and causality in relation to ML OpsNeo4j
by Joakim Sandroos, Senior Data Scientist at Danish Business Authority
At the Danish Business Authority (DBA), machine learning (ML) is utilized in the role of decision support. In order to build ethical ML on a solid scientific understanding, explainability and traceability are mission critical. DBA utilizes an in-house developed Directed Acyclic Graph (DAG) tool, RecordKeeper, to preserve causality information between business events on their platform. Via flow analysis, they identify Springs and Sinks in their dataset to mitigate overall model bias.
5G SA security: a comprehensive overview of threats, vulnerabilities and rem...PositiveTechnologies
Mobile network operators are planning to invest heavily in coming years to implement the transition to stand-alone 5G. However, in likening to 5G with interconnected infrastructure, 5G SA is prone to protocol vulnerabilities that can allow the malicious actor to impersonate subscribers, disclose subscriber profiles and cause a denial of service (DoS).
What you'll learn:
- How to spot the various types of threats in the 5G stand-alone core
- Network misconfigurations that open doors to attacks on subscribers
- 5G SA protocol components that malicious actors actively target
- An effective security strategy for the avoidance of network disruption
spocto's unique machine learning algorithms & artificial learning which provides solution to create persona.
spocto analytics has improved the Contact Rate, Debt Collections and Non Performing Asset Management for a leading Bank in India
CTO at Positive Technologies, Dmitry Kurbatov discusses what kind of security risks are associated with 5G telecommunications networks and to what extent thеse risks could be managed. Topics include:
• How the 5G core network will work, and how it differs from the current telecom infrastructure.
• Benefits that the innovative 5G slicing technology can bring, and what its security risks will be.
• What new protocols, interfaces, and infrastructure-enhancing technologies like network functions virtualization will take off in the near future.
• Compatibility concerns with 4G, 3G, and 2G networks. What does this mean for 5G?
Andrea Bielli, IT Architect Global Digital Solution, Enel
Davide Gimondo, Software Engineer, Enel
Enel mostra come neo4j aiuta nella gestione delle reti elettriche in 8 paesi nel mondo.
Con l’obiettivo di ottimizzare gli algoritmi di percorrenza della rete elettrica, in modo da rendere le reti sempre più efficienti e resilienti.
L’obiettivo di Enel è una gestione ottimale della topologia della rete per garantire gli obiettivi del gruppo: la transizione energetica e l’elettrificazione dei paesi in cui opera, verso l’obiettivo Net Zero, relativo alla riduzione delle emissioni nella produzione e distribuzione dell’energia elettrica.
Simjacker: how to protect your network from the latest hot vulnerabilityPositiveTechnologies
The newly discovered mobile threat Simjacker appears to be "a not-so-new" to the world of cybersecurity. Back in 2014, Positive Technologies reported the vulnerabilities in the mobile SIM cards and attacks that can be done via SMS. Now we prepared a presentation that outlines the overview of Simjacker threat and shows what steps are a must-do to handle it in time.
Machining Torlon - A Plastics Machining GuideJohn MacDonald
We’re continuing our line of polymer machining briefs at AIP, and this month, we talk about TORLON: a PAI, or polyamide-imide. Discover AIP’s process of machining TORLON plastics in this informational polymer machining guide.
Transforming AI with Graphs: Real World Examples using Spark and Neo4jDatabricks
Graphs – or information about the relationships, connection, and topology of data points – are transforming machine learning. We’ll walk through real world examples of how to get transform your tabular data into a graph and how to get started with graph AI. This talk will provide an overview of how we to incorporate graph based features into traditional machine learning pipelines, create graph embeddings to better describe your graph topology, and give you a preview of approaches for graph native learning using graph neural networks. We’ll talk about relevant, real world case studies in financial crime detection, recommendations, and drug discovery. This talk is intended to introduce the concept of graph based AI to beginners, as well as help practitioners understand new techniques and applications. Key take aways: how graph data can improve machine learning, when graphs are relevant to data science applications, what graph native learning is and how to get started.
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...Neo4j
Large Language models are amazing but are also black-box models that often fail to capture and accurately represent factual knowledge. Knowledge graphs, by contrast, are structural knowledge models that explicitly represent knowledge and, indeed, allow us to detect implicit relationships. In this talk we will demonstrate how LLMs can be improved by Knowledge Graphs, and how LLM’s can augment Knowledge Graphs. A perfect couple!
Intermediate: 5G Applications Architecture - A look at Application Functions ...3G4G
In this tutorial we look at the 5G Applications architecture. We discuss 5G applications, application functions and application servers and how they fit together in a 5G Service Based Architecture
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Knowledge Graphs and Generative AI
Dr. Katie Roberts, Data Science Solutions Architect, Neo4j
It’s no secret that Large Language Models (LLMs) are popular right now, especially in the age of Generative AI. LLMs are powerful models that enable access to data and insights for any user, regardless of their technical background, however, they are not without challenges. Hallucinations, generic responses, bias, and a lack of traceability can give organizations pause when thinking about how to take advantage of this technology. Graphs are well suited to ground LLMs as they allow you to take advantage of relationships within your data that are often overlooked with traditional data storage and data science approaches. Combining Knowledge Graphs and LLMs enables contextual and semantic information retrieval from both structured and unstructured data sources. In this session, you’ll learn how graphs and graph data science can be incorporated into your analytics practice, and how a connected data platform can improve explainability, accuracy, and specificity of applications backed by foundation models.
Deploying Value-Added Service (VAS) Applications over LTE Network as an Advan...Ali Saghaeian
Some of the topics covered in this slide deck:
Telco-OTT voice/messaging applications
App users & heavy users of legacy services
Operator-provided OTT-like communications app
Value of the messaging market and the level of threat from OTT
Operators rating their performance against OTT Players
Apps as multi-modal communication platforms
Important Factors in an OTT Service Package
Field Study - Tech Solutions for Rent Collections - External_FINAL.pdfDaniel Fetner
Rent collections have become a major pain point for landlords in recent years as collections rates have consistently declined and property managers have become increasingly burdened by inefficient and manual processes. While plenty of exciting technology solutions and platforms have flooded the property management space, we believe there is still significant need for targeted point solutions that address specific steps in the rent collections process flow.
Graph technology has truly burst onto the scene with diverse new products and services, proving that graph is relevant and that not all graph use cases are equal. Previously relegated to niche implementations and science projects, graph now finds itself deployed as the foundational technology for enterprise analytics solutions and enterprise Data Fabric strategies. It is no surprise that many are calling 2018 “The Year of the Graph”.
A big challenge for mobile network operators in the new, ever-evolving 5G era is the signaling security of the standardized protocols used in order to exchange data. Telecommunication companies face this challenge and have to be on the verge every time there is a potential hacker attack. What is the best way to approach these striking threats and even to be ready before it occurs?
In our webinar, Positive Technologies will offer you several breakthrough strategies on how to deal with security flaws in telecom.
Our expert will show you the evolution of protocol security, share insights into the potential activities of a hacker and give useful advice about compliance with security standards.
At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support.
The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management.
Many players in the Financial Services industry already rely on Neo4j's graph database: such as Lending Club, the world's largest microservices credit marketplace, for Network and IT, the big German insurance company die Bayerische for graph-based search, Cerved for Master Data Management, Wobi for price comparison and real-time recommendation, or UBS for Identity and Access Management.
Radisys was joined by Mavenir's Ian Maclean for this informative session focused on how operators can monetize LTE networks beyond basic data plans by delivering Voice over LTE (VoLTE), Rich Communications Services (RCS) and other value-added services.
A new benchmark for timing success - OSA 5412 and 5422 access grandmasters ADVA
The OSA 5412 and 5422 address key sychronization challenges for communication service providers, enterprises, broadcast networks and power utilities. With multi-band GNSS receivers for nanosecond accuracy and support for eight field-upgradeable 10Gbit/s ports, they bring new levels of timing accuracy and resilience to edge networks. These unique timing devices ensure the scale and efficiency needed for next-generation smart grids, industrial IoT applications and 5G connectivity.
Intro to TypeDB and TypeQL | A strongly-typed databaseVaticle
TypeDB is a strongly-typed database. It provides a rich and logical type system which breaks down complex problems into meaningful and logical systems, using TypeQL as its query language.
TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level, as opposed to join-tables, columns, documents, vertices, and edges.
Types describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. Query validation goes beyond static type-checking, and includes logical validation of meaningless queries. With strict type-checking errors, you have a dataset that you can trust.
Finally, TypeDB encodes your data for logical interpretation by its reasoning engine. It enables type-inference and rule-inference, which create logical abstractions of data. This allows for the discovery of facts and patterns that would otherwise be too hard to find.
With these abstractions, queries in the tens to hundreds of lines in SQL or NoSQL databases can be written in just a few lines in TypeQL – collapsing code complexity by orders of magnitude.
Join Tomás from the Vaticle team where he'll discuss the origins of TypeDB, the impetus for inventing a new query language, TypeQL, and why we are so excited about the future of software and intelligent systems.
Tomás Sabat:
Tomás is the Chief Operating Officer at Vaticle, dedicated to building a strongly typed database for intelligent systems. He works directly with TypeDB's open source and enterprise users so they can fulfil their potential with TypeDB and change the world. He focuses mainly in life sciences, cyber security, finance and robotics.
Neo4j : la voie du succès avec les bases de données de graphes et la Graph Da...Neo4j
GraphSummit Paris
Nicolas Rouyer, Senior Presales Consultant, Neo4j
L’innovation produit évolue rapidement chez Neo4j – découvrez comment la technologie des graphes peut vous fournir les outils nécessaires pour obtenir beaucoup plus de vos données.
Andrea Bielli, IT Architect Global Digital Solution, Enel
Davide Gimondo, Software Engineer, Enel
Enel mostra come neo4j aiuta nella gestione delle reti elettriche in 8 paesi nel mondo.
Con l’obiettivo di ottimizzare gli algoritmi di percorrenza della rete elettrica, in modo da rendere le reti sempre più efficienti e resilienti.
L’obiettivo di Enel è una gestione ottimale della topologia della rete per garantire gli obiettivi del gruppo: la transizione energetica e l’elettrificazione dei paesi in cui opera, verso l’obiettivo Net Zero, relativo alla riduzione delle emissioni nella produzione e distribuzione dell’energia elettrica.
Simjacker: how to protect your network from the latest hot vulnerabilityPositiveTechnologies
The newly discovered mobile threat Simjacker appears to be "a not-so-new" to the world of cybersecurity. Back in 2014, Positive Technologies reported the vulnerabilities in the mobile SIM cards and attacks that can be done via SMS. Now we prepared a presentation that outlines the overview of Simjacker threat and shows what steps are a must-do to handle it in time.
Machining Torlon - A Plastics Machining GuideJohn MacDonald
We’re continuing our line of polymer machining briefs at AIP, and this month, we talk about TORLON: a PAI, or polyamide-imide. Discover AIP’s process of machining TORLON plastics in this informational polymer machining guide.
Transforming AI with Graphs: Real World Examples using Spark and Neo4jDatabricks
Graphs – or information about the relationships, connection, and topology of data points – are transforming machine learning. We’ll walk through real world examples of how to get transform your tabular data into a graph and how to get started with graph AI. This talk will provide an overview of how we to incorporate graph based features into traditional machine learning pipelines, create graph embeddings to better describe your graph topology, and give you a preview of approaches for graph native learning using graph neural networks. We’ll talk about relevant, real world case studies in financial crime detection, recommendations, and drug discovery. This talk is intended to introduce the concept of graph based AI to beginners, as well as help practitioners understand new techniques and applications. Key take aways: how graph data can improve machine learning, when graphs are relevant to data science applications, what graph native learning is and how to get started.
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...Neo4j
Large Language models are amazing but are also black-box models that often fail to capture and accurately represent factual knowledge. Knowledge graphs, by contrast, are structural knowledge models that explicitly represent knowledge and, indeed, allow us to detect implicit relationships. In this talk we will demonstrate how LLMs can be improved by Knowledge Graphs, and how LLM’s can augment Knowledge Graphs. A perfect couple!
Intermediate: 5G Applications Architecture - A look at Application Functions ...3G4G
In this tutorial we look at the 5G Applications architecture. We discuss 5G applications, application functions and application servers and how they fit together in a 5G Service Based Architecture
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Knowledge Graphs and Generative AI
Dr. Katie Roberts, Data Science Solutions Architect, Neo4j
It’s no secret that Large Language Models (LLMs) are popular right now, especially in the age of Generative AI. LLMs are powerful models that enable access to data and insights for any user, regardless of their technical background, however, they are not without challenges. Hallucinations, generic responses, bias, and a lack of traceability can give organizations pause when thinking about how to take advantage of this technology. Graphs are well suited to ground LLMs as they allow you to take advantage of relationships within your data that are often overlooked with traditional data storage and data science approaches. Combining Knowledge Graphs and LLMs enables contextual and semantic information retrieval from both structured and unstructured data sources. In this session, you’ll learn how graphs and graph data science can be incorporated into your analytics practice, and how a connected data platform can improve explainability, accuracy, and specificity of applications backed by foundation models.
Deploying Value-Added Service (VAS) Applications over LTE Network as an Advan...Ali Saghaeian
Some of the topics covered in this slide deck:
Telco-OTT voice/messaging applications
App users & heavy users of legacy services
Operator-provided OTT-like communications app
Value of the messaging market and the level of threat from OTT
Operators rating their performance against OTT Players
Apps as multi-modal communication platforms
Important Factors in an OTT Service Package
Field Study - Tech Solutions for Rent Collections - External_FINAL.pdfDaniel Fetner
Rent collections have become a major pain point for landlords in recent years as collections rates have consistently declined and property managers have become increasingly burdened by inefficient and manual processes. While plenty of exciting technology solutions and platforms have flooded the property management space, we believe there is still significant need for targeted point solutions that address specific steps in the rent collections process flow.
Graph technology has truly burst onto the scene with diverse new products and services, proving that graph is relevant and that not all graph use cases are equal. Previously relegated to niche implementations and science projects, graph now finds itself deployed as the foundational technology for enterprise analytics solutions and enterprise Data Fabric strategies. It is no surprise that many are calling 2018 “The Year of the Graph”.
A big challenge for mobile network operators in the new, ever-evolving 5G era is the signaling security of the standardized protocols used in order to exchange data. Telecommunication companies face this challenge and have to be on the verge every time there is a potential hacker attack. What is the best way to approach these striking threats and even to be ready before it occurs?
In our webinar, Positive Technologies will offer you several breakthrough strategies on how to deal with security flaws in telecom.
Our expert will show you the evolution of protocol security, share insights into the potential activities of a hacker and give useful advice about compliance with security standards.
At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support.
The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management.
Many players in the Financial Services industry already rely on Neo4j's graph database: such as Lending Club, the world's largest microservices credit marketplace, for Network and IT, the big German insurance company die Bayerische for graph-based search, Cerved for Master Data Management, Wobi for price comparison and real-time recommendation, or UBS for Identity and Access Management.
Radisys was joined by Mavenir's Ian Maclean for this informative session focused on how operators can monetize LTE networks beyond basic data plans by delivering Voice over LTE (VoLTE), Rich Communications Services (RCS) and other value-added services.
A new benchmark for timing success - OSA 5412 and 5422 access grandmasters ADVA
The OSA 5412 and 5422 address key sychronization challenges for communication service providers, enterprises, broadcast networks and power utilities. With multi-band GNSS receivers for nanosecond accuracy and support for eight field-upgradeable 10Gbit/s ports, they bring new levels of timing accuracy and resilience to edge networks. These unique timing devices ensure the scale and efficiency needed for next-generation smart grids, industrial IoT applications and 5G connectivity.
Intro to TypeDB and TypeQL | A strongly-typed databaseVaticle
TypeDB is a strongly-typed database. It provides a rich and logical type system which breaks down complex problems into meaningful and logical systems, using TypeQL as its query language.
TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level, as opposed to join-tables, columns, documents, vertices, and edges.
Types describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. Query validation goes beyond static type-checking, and includes logical validation of meaningless queries. With strict type-checking errors, you have a dataset that you can trust.
Finally, TypeDB encodes your data for logical interpretation by its reasoning engine. It enables type-inference and rule-inference, which create logical abstractions of data. This allows for the discovery of facts and patterns that would otherwise be too hard to find.
With these abstractions, queries in the tens to hundreds of lines in SQL or NoSQL databases can be written in just a few lines in TypeQL – collapsing code complexity by orders of magnitude.
Join Tomás from the Vaticle team where he'll discuss the origins of TypeDB, the impetus for inventing a new query language, TypeQL, and why we are so excited about the future of software and intelligent systems.
Tomás Sabat:
Tomás is the Chief Operating Officer at Vaticle, dedicated to building a strongly typed database for intelligent systems. He works directly with TypeDB's open source and enterprise users so they can fulfil their potential with TypeDB and change the world. He focuses mainly in life sciences, cyber security, finance and robotics.
Neo4j : la voie du succès avec les bases de données de graphes et la Graph Da...Neo4j
GraphSummit Paris
Nicolas Rouyer, Senior Presales Consultant, Neo4j
L’innovation produit évolue rapidement chez Neo4j – découvrez comment la technologie des graphes peut vous fournir les outils nécessaires pour obtenir beaucoup plus de vos données.
Optimizing Your Supply Chain with Neo4j
Dr. Michael Moore, Senior Director, Strategy and Innovation, Neo4j
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.
Government GraphSummit: Optimizing the Supply ChainNeo4j
Michael Moore Ph.D., Principal, Partner Solutions and Neo4j Technology, Neo4j
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.
The path to success with Graph Database and Graph Data ScienceNeo4j
What’s new and what’s next? Product innovation moves rapidly at Neo4j – learn how graph technology can provide you with the tools to get much more from your data!
Relationships Matter: Using Connected Data for Better Machine LearningNeo4j
Relationships are highly predictive of behavior, yet most data science models overlook this information because it's difficult to extract network structure for use in machine learning (ML).
With graphs, relationships are embedded in the data itself, making it practical to add these predictive capabilities to your existing practices.
That’s why we’re presenting and demoing the use of graph-native ML to make breakthrough predictions. This will cover:
- Different approaches to graph feature engineering, from queries and algorithms to embeddings
- How ML techniques leverage everything from classical network science to deep learning and graph convolutional neural networks
- How to generate representations of your graph using graph embeddings, create ML models for link prediction or node classification, and apply these models to add missing information to an existing graph/incoming data
- Why no-code visualization and prototyping is important
The path to success with graph database and graph data science_ Neo4j GraphSu...Neo4j
What’s new, and what’s next? Product innovation moves rapidly at Neo4j – learn how graph technology can provide you with the tools to get much more from your data!
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxNeo4j
Knowledge Graphs and Generative AI, together, enable contextual and semantic information retrieval from both structured and unstructured data sources. LLMs and Neo4j labeled property graphs synergize seamlessly, whether for querying your enterprise graph with natural language or converting unstructured data into a knowledge graph. Join our session to understand how the deep dynamic context that Knowledge Graphs provide helps ensure answers from an LLM are accurate, explainable, and contextual.
Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...Neo4j
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.
Atelier - Architecture d’applications de Graphes - GraphSummit ParisNeo4j
Atelier - Architecture d’applications de Graphes
Participez à cet atelier pratique animé par des experts de Neo4j qui vous guideront pour découvrir l’intelligence contextuelle. En utilisant un jeu de données réel, nous construirons étape par étape une solution de graphes ; de la construction du modèle de données de graphes à l’exécution de requêtes et à la visualisation des données. L’approche sera applicable à de multiples cas d’usages et industries.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SOPRA STERIA - GraphRAG : repousser les limitations du RAG via l’utilisation ...Neo4j
Romain CAMPOURCY – Architecte Solution, Sopra Steria
Patrick MEYER – Architecte IA Groupe, Sopra Steria
La Génération de Récupération Augmentée (RAG) permet la réponse à des questions d’utilisateur sur un domaine métier à l’aide de grands modèles de langage. Cette technique fonctionne correctement lorsque la documentation est simple mais trouve des limitations dès que les sources sont complexes. Au travers d’un projet que nous avons réalisé, nous vous présenterons l’approche GraphRAG, une nouvelle approche qui utilise une base Neo4j générée pour améliorer la compréhension des documents et la synthèse d’informations. Cette méthode surpasse l’approche RAG en fournissant des réponses plus holistiques et précises.
ADEO - Knowledge Graph pour le e-commerce, entre challenges et opportunités ...Neo4j
Charles Gouwy, Business Product Leader, Adeo Services (Groupe Leroy Merlin)
Alors que leur Knowledge Graph est déjà intégré sur l’ensemble des expériences d’achat de leur plateforme e-commerce depuis plus de 3 ans, nous verrons quelles sont les nouvelles opportunités et challenges qui s’ouvrent encore à eux grâce à leur utilisation d’une base de donnée de graphes et l’émergence de l’IA.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphAware - Transforming policing with graph-based intelligence analysisNeo4j
Petr Matuska, Sales & Sales Engineering Lead, GraphAware
Western Australia Police Force’s adoption of Neo4j and the GraphAware Hume graph analytics platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph. The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement’s ability to leverage growing volumes of valuable data to prevent crime and protect communities.
GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product UpdatesNeo4j
David Pond, Lead Product Manager, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Shirley Bacso, Data Architect, Ingka Digital
“Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products to be robust and compliant but also well-understood and effectively utilized.
Your enemies use GenAI too - staying ahead of fraud with Neo4jNeo4j
Delivered by Michael Down at Gartner Data & Analytics Summit London 2024 - Your enemies use GenAI too: Staying ahead of fraud with Neo4j.
Fraudsters exploit the latest technologies like generative AI to stay undetected. Static applications can’t adapt quickly enough. Learn why you should build flexible fraud detection apps on Neo4j’s native graph database combined with advanced data science algorithms. Uncover complex fraud patterns in real-time and shut down schemes before they cause damage.
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptxNeo4j
Delivered by Sreenath Gopalakrishna, Director of Software Engineering at BT, and Dr Jim Webber, Chief Scientist at Neo4j, at Gartner Data & Analytics Summit London 2024 this presentation examines how knowledge graphs and GenAI combine in real-world solutions.
BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Future innovation plans include the exploration of uses of EKG + Generative AI.
Workshop: Enabling GenAI Breakthroughs with Knowledge Graphs - GraphSummit MilanNeo4j
Look beyond the hype and unlock practical techniques to responsibly activate intelligence across your organization’s data with GenAI. Explore how to use knowledge graphs to increase accuracy, transparency, and explainability within generative AI systems. You’ll depart with hands-on experience combining relationships and LLMs for increased domain-specific context and enhanced reasoning.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.