Fighting financial crime with graph analysis at BIWA Summit 2017Linkurious
Additional details on our blog: https://linkurio.us/visualize-oracle-graph-data-ogma-library/
Discover how to use graph analysis to identify suspicious connections and unmask criminals. In this session, Jean will share his experience working on the Panama Papers or with banks and insurance companies (first-party fraud, anti-money laundering, insurance fraud). He will explain how to combine the kind of graph analytics enabled by Oracle Spatial and Graph with powerful graph visualization to help analysts detect, investigate and stop financial crime.
Reinforcing AML systems with graph technologies.Linkurious
Anti-money laundering (AML) has become complex and costly for institutions and enterprises. Nowadays, to thwart criminal intricate strategies, financial crime units have to gather, monitor and investigate large amounts of connected data.
Graph analysis and visualization technologies can provide an holistic view of the various entities and their relationships to unveil wrongdoings.
Anti-money laundering (AML) has become complex and costly for institutions and enterprises. Graph analysis and visualization technologies like Linkurious are a great fit to help AML analysts fight money laundering.
Discover in this presentation how to automate the monitoring of high risk customers with patterns alerts and how to assess risk-levels by visually investigating suspicious cases.
More information on www.linkurio.us
Graph technologies have the potential to help businesses understand complex connected data. From financial crime to cyber-security to IT management, specific business requires custom applications. This is why we created the Linkurious SDK , a toolkit that enables you to quickly build secure and flexible applications to leverage the connections within your data or unveil hidden relationships.
Discover in this presentation the challenges of integrating graph technologies into enterprise applications; and how to use the Linkurious SDK to build a robust, secure and interactive graph application.
Fighting financial crime with graph analysis at BIWA Summit 2017Linkurious
Additional details on our blog: https://linkurio.us/visualize-oracle-graph-data-ogma-library/
Discover how to use graph analysis to identify suspicious connections and unmask criminals. In this session, Jean will share his experience working on the Panama Papers or with banks and insurance companies (first-party fraud, anti-money laundering, insurance fraud). He will explain how to combine the kind of graph analytics enabled by Oracle Spatial and Graph with powerful graph visualization to help analysts detect, investigate and stop financial crime.
Reinforcing AML systems with graph technologies.Linkurious
Anti-money laundering (AML) has become complex and costly for institutions and enterprises. Nowadays, to thwart criminal intricate strategies, financial crime units have to gather, monitor and investigate large amounts of connected data.
Graph analysis and visualization technologies can provide an holistic view of the various entities and their relationships to unveil wrongdoings.
Anti-money laundering (AML) has become complex and costly for institutions and enterprises. Graph analysis and visualization technologies like Linkurious are a great fit to help AML analysts fight money laundering.
Discover in this presentation how to automate the monitoring of high risk customers with patterns alerts and how to assess risk-levels by visually investigating suspicious cases.
More information on www.linkurio.us
Graph technologies have the potential to help businesses understand complex connected data. From financial crime to cyber-security to IT management, specific business requires custom applications. This is why we created the Linkurious SDK , a toolkit that enables you to quickly build secure and flexible applications to leverage the connections within your data or unveil hidden relationships.
Discover in this presentation the challenges of integrating graph technologies into enterprise applications; and how to use the Linkurious SDK to build a robust, secure and interactive graph application.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Webinar: What's new in Linkurious Enterprise 2.8Linkurious
With Linkurious Enterprise 2.8, we focused on time filtering with a Timeline and on providing more control on data entry and data presentation with support for data schema.
We discuss:
- The benefits of a schema and how to set it up.
- How to explore and filter the graph over time using the Timeline.
- How to disable the auto-save mode.
We also discuss the changes in the graph layout menu.
For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this presentation, we explore the possibilities that graph technology is offering for intelligence analysis.
The slides from a presentation of Linkurious Enterprise, in which we look at what’s new in this release, including the new Query Template capabilities and the redesign of the query panel.
Video of the presentation: https://youtu.be/ucuntmqzTYI
Linkurious Enterprise is compatible with Azure Cosmos DB and offers investigation teams a turnkey solution to detect and investigate threats hidden in graph data. In this post, we explain how Linkurious Enterprise connects to Cosmos DB graph database.
GraphTech Ecosystem - part 3: Graph VisualizationLinkurious
The graph ecosystem presentation lists and introduces the graph visualization actors: graph visualization libraries and toolkits; graph visualizers and add-ons
Getting started with Cosmos DB + Linkurious EnterpriseLinkurious
Nowadays, many real-world applications generate data that is naturally connected, but traditional systems fail to capture the value it represents. Thanks to its graph API, the multi-model database Cosmos DB lets you model and store graph-like data. On top of Cosmos DB, Linkurious Enterprise is turnkey solution to detect and investigate insights through an interface for graph data visualization and analysis.
In this presentation, we will explain the value of graphs and show how to get started with Cosmos DB and Linkurious Enterprise to accelerate the discovery of new insights in your connected data.
GraphTech Ecosystem - part 2: Graph AnalyticsLinkurious
The graph ecosystem presentation lists and introduces a vast majority of graph analytics actors: graph analytics frameworks; graph processing engines; graph analytics libraries and toolkits; graph query languages and projects.
GraphTech Ecosystem - part 1: Graph DatabasesLinkurious
The graph ecosystem presentation lists and introduces a vast majority of storage systems for graph-like data: native graph databases, RDF databases, multi-model systems or systems with a graph API.
3 types of fraud graph analytics can help defeatLinkurious
Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this presentation, we examine three types of fraud graph analytics can help investigators combat. Blog post: https://linkurio.us/blog/3-fraud-graph-analytics-help-defeat/
Graph analytics in Linkurious EnterpriseLinkurious
Graph algorithms provide tools to extract insights from graph data. From detecting anomalies to understanding what are the key elements in a network or finding communities, graph algorithms reveal information that would otherwise remain hidden. Learn about:
- The most popular graph algorithms and what they can be used for;
- The benefits of using graph analytics with Linkurious Enterprise;
- How to integrate graph analytics in Linkurious Enterprise.
Graph technology and data-journalism: the case of the Paradise PapersLinkurious
Discover how graph analysis and visualization technologies allowed the ICIJ journalists to highlight the suspicious relations between political figures and offshore companies in the Paradise Papers investigations.
Visualize the Knowledge Graph and Unleash Your DataLinkurious
Slides from the webinar "Visualize the Knowledge Graph and Unleash Your Data" with Michael Grove, Vice President of Engineering and co-founder of Stardog, and Jean Villedieu, co-founder of Linkurious.
The webinar covers the topic of enterprise Knowledge Graphs and lets you experience how to visualize and analyze this data to discover actionable insights for your organization.
Supporting product development while reducing material and prototyping costs or centralizing product records is critical for PLM and PDM managers. However, the growing complexity and volume of cross-business data and processes can turn the management of a product lifecycle into a complex enterprise.
Graph technology like Linkurious offers an intuitive approach to model, search and understand data by putting the connections between components at the forefront. Modeling people, processes, business systems and products components into an interactive and unified network is one of the keys to escape the complexity of product development and find the insights your organization need to gain competitive advantage.
In this presentation, you will learn about:
- Challenges and risks of product development and data management,
- How businesses can use graph technology to model, visualize, optimize and monitor product lifecycles and related elements,
- How to conduct BOM and change management with Linkurious.
Fraudes Financières: Méthodes de Prévention et DétectionLinkurious
Cette présentation en partenariat avec DataStax revient sur comment détecter en temps réel des activités frauduleuses telles que la fraude identitaire. Des applications concrètes de ces technologies seront détaillées, de l’affaire des Panama Papers à des cas d’usages quotidiens dans des banques et des institutions financières. Les techniques de lutte antifraude ainsi que les avantages des approches orientées graphe seront également présentés.
Detecting eCommerce Fraud with Neo4j and LinkuriousLinkurious
Last year, the global eCommerce market represented $1.9 trillions. As the market expands worldwide, the opportunity for fraud keeps growing with fraudsters constantly refining their tactics to outsmart anti-fraud frameworks. From chargeback fraud to re-shipping scam or identity fraud, numerous types of fraud can impact your organization. While collecting data is essential to enable real-time risk assessment, many organizations don’t have the necessary tools to find the insights needed to block fraud attempts.
Neo4j and Linkurious offer a solution to tackle the eCommerce fraud challenge. Their combined technologies provide a 360° overview of organization’s data and allow real-time analysis and detection of eCommerce fraud patterns and activities.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Webinar: What's new in Linkurious Enterprise 2.8Linkurious
With Linkurious Enterprise 2.8, we focused on time filtering with a Timeline and on providing more control on data entry and data presentation with support for data schema.
We discuss:
- The benefits of a schema and how to set it up.
- How to explore and filter the graph over time using the Timeline.
- How to disable the auto-save mode.
We also discuss the changes in the graph layout menu.
For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this presentation, we explore the possibilities that graph technology is offering for intelligence analysis.
The slides from a presentation of Linkurious Enterprise, in which we look at what’s new in this release, including the new Query Template capabilities and the redesign of the query panel.
Video of the presentation: https://youtu.be/ucuntmqzTYI
Linkurious Enterprise is compatible with Azure Cosmos DB and offers investigation teams a turnkey solution to detect and investigate threats hidden in graph data. In this post, we explain how Linkurious Enterprise connects to Cosmos DB graph database.
GraphTech Ecosystem - part 3: Graph VisualizationLinkurious
The graph ecosystem presentation lists and introduces the graph visualization actors: graph visualization libraries and toolkits; graph visualizers and add-ons
Getting started with Cosmos DB + Linkurious EnterpriseLinkurious
Nowadays, many real-world applications generate data that is naturally connected, but traditional systems fail to capture the value it represents. Thanks to its graph API, the multi-model database Cosmos DB lets you model and store graph-like data. On top of Cosmos DB, Linkurious Enterprise is turnkey solution to detect and investigate insights through an interface for graph data visualization and analysis.
In this presentation, we will explain the value of graphs and show how to get started with Cosmos DB and Linkurious Enterprise to accelerate the discovery of new insights in your connected data.
GraphTech Ecosystem - part 2: Graph AnalyticsLinkurious
The graph ecosystem presentation lists and introduces a vast majority of graph analytics actors: graph analytics frameworks; graph processing engines; graph analytics libraries and toolkits; graph query languages and projects.
GraphTech Ecosystem - part 1: Graph DatabasesLinkurious
The graph ecosystem presentation lists and introduces a vast majority of storage systems for graph-like data: native graph databases, RDF databases, multi-model systems or systems with a graph API.
3 types of fraud graph analytics can help defeatLinkurious
Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this presentation, we examine three types of fraud graph analytics can help investigators combat. Blog post: https://linkurio.us/blog/3-fraud-graph-analytics-help-defeat/
Graph analytics in Linkurious EnterpriseLinkurious
Graph algorithms provide tools to extract insights from graph data. From detecting anomalies to understanding what are the key elements in a network or finding communities, graph algorithms reveal information that would otherwise remain hidden. Learn about:
- The most popular graph algorithms and what they can be used for;
- The benefits of using graph analytics with Linkurious Enterprise;
- How to integrate graph analytics in Linkurious Enterprise.
Graph technology and data-journalism: the case of the Paradise PapersLinkurious
Discover how graph analysis and visualization technologies allowed the ICIJ journalists to highlight the suspicious relations between political figures and offshore companies in the Paradise Papers investigations.
Visualize the Knowledge Graph and Unleash Your DataLinkurious
Slides from the webinar "Visualize the Knowledge Graph and Unleash Your Data" with Michael Grove, Vice President of Engineering and co-founder of Stardog, and Jean Villedieu, co-founder of Linkurious.
The webinar covers the topic of enterprise Knowledge Graphs and lets you experience how to visualize and analyze this data to discover actionable insights for your organization.
Supporting product development while reducing material and prototyping costs or centralizing product records is critical for PLM and PDM managers. However, the growing complexity and volume of cross-business data and processes can turn the management of a product lifecycle into a complex enterprise.
Graph technology like Linkurious offers an intuitive approach to model, search and understand data by putting the connections between components at the forefront. Modeling people, processes, business systems and products components into an interactive and unified network is one of the keys to escape the complexity of product development and find the insights your organization need to gain competitive advantage.
In this presentation, you will learn about:
- Challenges and risks of product development and data management,
- How businesses can use graph technology to model, visualize, optimize and monitor product lifecycles and related elements,
- How to conduct BOM and change management with Linkurious.
Fraudes Financières: Méthodes de Prévention et DétectionLinkurious
Cette présentation en partenariat avec DataStax revient sur comment détecter en temps réel des activités frauduleuses telles que la fraude identitaire. Des applications concrètes de ces technologies seront détaillées, de l’affaire des Panama Papers à des cas d’usages quotidiens dans des banques et des institutions financières. Les techniques de lutte antifraude ainsi que les avantages des approches orientées graphe seront également présentés.
Detecting eCommerce Fraud with Neo4j and LinkuriousLinkurious
Last year, the global eCommerce market represented $1.9 trillions. As the market expands worldwide, the opportunity for fraud keeps growing with fraudsters constantly refining their tactics to outsmart anti-fraud frameworks. From chargeback fraud to re-shipping scam or identity fraud, numerous types of fraud can impact your organization. While collecting data is essential to enable real-time risk assessment, many organizations don’t have the necessary tools to find the insights needed to block fraud attempts.
Neo4j and Linkurious offer a solution to tackle the eCommerce fraud challenge. Their combined technologies provide a 360° overview of organization’s data and allow real-time analysis and detection of eCommerce fraud patterns and activities.
Maintaining networks and servers availability while reducing downtimes to minimum are fundamental missions for IT managers and administrators. But with the growing complexity of infrastructures, the pressure from business strategists to deliver new services or the heterogeneity of data assets, managing networks is often a challenge.
Graph technologies like Linkurious offer an intuitive approach to model and investigate data by putting the connections between components at the forefront. Modeling the network into a flexible and unified overview is one of the keys to understand your architecture and reduce risks, costs and time spent on maintenance operations.
Slides of Linkurious presentation at GraphConnect London 2017.
Tracking the flow of data is the foundation for solid data governance. It's also a compliance imperative for financial institutions impacted by BCBS 239. In this talk, we will discuss how graph-oriented data lineage is well suited for today's growing data volume and complexity. You will learn how to answer questions like: What would be the impact of a component of my data pipeline breaking up? Where does the data from a particular report originate?
Using Linkurious in your Enterprise Architecture projectsLinkurious
Architects, analysts and business managers need comprehensive modeling and visualization tools to understand how companies assets are assembled. Graph technologies allow to understand complex connected data and manage change and complexity in a more efficient way than traditional siloed solutions. With Linkurious technology, you get a comprehensive and visual overview of your enterprise architecture to successfully implement new systems, processes or frameworks.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.