Explore our thinking about Graph, Data, & AI

Fight Fraud with GenAI & Graph Tech: Webinar for Insurance Claims

Connected Jetpack: An AI-assisted analytics module for navigating complex data and generating actionable insights!

Explore the impact of regulations, tech like Generative AI & ML on AML, cyber, trade surveillance & fraud prevention. Discover solutions for increased accuracy in Financial Crimes..

Explore your tuning options for increasing JanusGraph write throughput and lowering latencies.

Wealth managers struggle with data overload. Jetpack, powered by Generative AI, helps extract insights, streamline workflows & enhance client service. Learn how it works!

Messages coming into your Spark stream processor may not arrive in the order you expect. Learn how to handle the unexpected with Spark, Databricks, and JanusGraph, DataStax, Neo4j, or Microsoft Cosmos DB.

Our panel of industry experts from Morningstar, Wayfair, Reuters and Expero will share perspectives from implementing AI across finance, media and e-commerce.

Insurance Fraud costs businesses and consumers $308.6 billion a year. Learn how Expero and Neo4J can combat claim fraud and reduce false positives in claims.

Watch this webinar highlighting why Financial Crimes investigators (AML, Credit Card, Trade Surveillance, and KYC teams) must use new technology to decrease false positives and increase alert-to-case accuracy and effectiveness.

This blog post discusses the importance of fraud detection and prevention in organizations and introduces Expero's Connected Toolkit as a comprehensive solution.

Digital Twins are the next logical step in an IoT implementation. Data storage for a digital twin can include a property graph database such as JanusGraph or DSE Graph, a time series database like TimescaleDB, and an analytical database like Redshift, Google Bigquery, or HP Vertica.

Listen as guests join us from OpenFin and Microsoft to discuss how AI is influencing the financial desktop and what new technologies are on the rise.

In this demo we will share our financial crimes field work examples and illustrate how complex data and analytics work together to reduce company’s financial crimes false positive detection.

During this webinar, we delve into the world of financial crimes, shedding light on emerging trends, evolving regulatory frameworks, and cutting-edge technology that combat financial crimes activity.

During this webinar we provide an in-depth look at the challenges of trade surveillance and how financial institutions can use technology and best practices to protect themselves from financial crimes.

This session will focus on how new ML and graph analytics work together with simple deep link visualization to reduce false positives by 60%, increase detection accuracy by 70% and improve overall team transparency and productivity by more than 80% to allow real time alerting to avoid sanctions and fines

Join Expero and Neo4j in a discussion about improving visibility into your supply chain, and better use of the data you've collected to greatly improve your supply chain and chain of custody tracking.

During this webinar, we will explore how the exchange platform harnesses the power of ML, real-time IoT, and nodal db technology driven by easy-to-utilize visualizations to become a DERM or a 'Virtual Power Plant' (VPP).

During this webinar, our speakers from Expero and Microsoft discuss expected trends in 2023 for Financial Crimes.

Recent events have created increased focus on Financial Crimes attacks as well as Cyber, AML, and fraud attacks that are growing in sophistication creating losses in the billions.

The focus of this webinar is to identify how Machine Learning, Visualizations and new technology like Graph can directly increase the accuracy and output of retail systems. We will feature unique Expero lightning talks on ML & Business Visualization technology, followed by a Q&A session.

Building financial crimes software for expert users requires understanding of the specific needs as well as tasks and roles in a larger team of investigators. The goal is to create uniquely tailored solutions to those users’ needs — not create a simple report or dashboard.

The second webinar in a series on the future of the financial desktop. We will identify how to unlock new technology and show how ML techniques can be used with existing technology to drive productivity.

Easy to use fraud detection software solutions, such as the Expero Connected Toolkit, reduce the overhead required to track and predict fraud and provide a variety of tools for many user personas.

Alerts are a powerful tool for real time fraud detection systems. Alerts can be used to surface things one normally wouldn’t see in real time.

A discussion on how Graph and Machine Learning work together to detect, prevent, and investigate cyber fraud using capabilities that Expero has put together.

An insider threat is a vulnerability of a system resulting from people within the organization. This can be intentional or unintentional: accidental breaches due to negligence or phishing are possible. Using the Connected Toolkit, we can use data from within a company’s system to predict where potential insider threats will occur.

Data breaches, which can expose emails, passwords, credit card information among other personally identifiable information, are a constant concern for companies who store client data. Our Connected Toolkit alerts users when suspicious behavior occurs, provides the data to learn from prior breaches, and enables you to predict where fraud will happen next. 

The focus of this webinar is to identify areas in which Machine Learning, Visualization, and Graph technology can increase the accuracy of claims fraud identification by over 21%, and to show how including 'Human-in-the-loop' can get you ahead of your state's legislation.

Building a useful fraud detection system requires bringing many tools together and making them work together to bring undetected anomalies to light.

This demo explores cyber and graph analytics

It is important to note that as time goes on, fraudsters will continue to adapt to rules and regulations that attempt to prevent them from committing fraud. While supervised detection systems can detect certain types of fraud well, oftentimes analysts don’t immediately know whether new patterns are indicative of fraud or not. This is why it is important to use an unsupervised system that can learn not only from existing patterns, but from new patterns as well. 

The focus of this webinar is to highlight Machine Learning, Visualizations, and Graph technology trends in 2022 that will increase the accuracy and output of systems, and how including the ‘Human in the Loop’ can get your teams ahead of potential gaps in your anti-fraud solutions and government AML legislation.

The Future of the Financial Desktop

This post looks at the different technology approaches and adaptations to finding and detecting fraud, and the technology behind Expero's Fraud Product.

Explore various graph algorithms and community detection styles in this retail use case demonstration for Graph Technology and Customer 360.

This post explores the history of fraud and how Expero's Fraud and AML toolkit is designed to help learn and combat fraud in many types of organizations.

During this webinar, Expero and Tigergraph will discuss how new ML and Graph analytics can work together with simple deep link visualization to increase detection accuracy, decrease false positives, and increase transparency between silos to allow real time alerting to avoid sanctions and fines.

During this webinar, Expero and Tigergraph Supply Chain analytics teams will discuss trends in geopolitics and economic stimulus, and how to improve your supply chain and chain of custody tracking.

During this webinar, TigerGraph and Expero will discuss the complexity and state of AML, and how the roles of Humans, Graph, and Machine Learning combine.

During this webinar, TigerGraph and Expero will discuss how to visualize cyber threat information using Graph & ML, and how new technology can help Financial Services team fight cyber fraud.

Get a quick look at the Expero connected toolkit for finance with OpenFin. Explore the market and company overview panels, and see how these integrated feeds allow one to view multiple sources of data when reviewing assets.

This discussion will go over how Graph and ML combine, as well as cover a demo of Anti-Fraud with Graph in action.

During this webinar, Exact Sciences and Expero will discuss how to revolutionize ‘Know Your Customer’ (KYC) and ‘Dr. 360’ to increase market share and increase profits with TigerGraph and ML.

This meetup will focus on how users are executing OLAP workloads against their JanusGraph data.

Get a quick look on how to synchronize the trader desktop and the trade sanctions back office functionality to identify real time issues and avoid sanctions in trades, settlements, AML risk profiles and non-compliance.

This session will focus on how to synchronize the trader desktop and the trade sanctions back office functionality to identify real time issues and avoid sanctions in trades, settlements, AML risk profiles and non-compliance.

Take a deeper look into Expero's Radiant Path Software, which allows users to check the feasibility of their manufacturing plans by looking at the demand versus production delta in detail.

In order to better protect your consumers and ensure compliance with FDA standards, this session will focus on utilizing Graph and Machine Learning technology to enable the advanced traceability and predictive analytics needed so that you are enabled to take on The New Era of Smarter Food Safety.

The focus of this webinar is to identify how to use Machine Learning and Connected Data to increase output and accuracy for Portfolio Managers, allowing them to make higher quality decisions with real time data.

During this webinar, we'll dive into the factors that business and technical leaders should consider when making technology choices for Graph processing and how to apply them for your particular industry and use cases.

During this webinar, we'll dive into the factors that business and technical leaders should consider when making technology choices for Graph processing and how to apply them for your particular industry and use cases.

The focus of this webinar is to identify areas in which Machine Learning, Visualization, and Graph technology can increase the accuracy of claims fraud identification by over 11%, and to show how including the ‘Human in the Loop’ can get you ahead of your state’s fraud prevention legislation.

During this webinar, we will show Supply Chain managers and planners how to utilize Graph technology to ensure organizational compliance with DSCSA.

During this webinar, we will show AML and Fraud practitioners how to use Graph and Machine Learning to ensure organizational compliance with AMLA in 2021.

The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Customer 360 based recommendations, reduce and avoid churn, and devise 'what if' recommendations.

Increasing the accuracy of analytics technologies drives modern business, and getting more realistic results applicable to on-the-ground business operational conditions means orgs can make better decisions faster.

During this webinar, we’ll dive into these collaborative and organizational challenges in the context of Data Science teams working in retail fraud.

Blog #1 in a series that will highlight the aspects of Pulsar that make it an attractive prospect for your messaging and data streaming needs.

Tune into TigerGraph and Expero's AML 'Easy' Cooking Show, where Michael Shaler and Scott Heath discuss the state of the world concerning AML, along with other topics such as TigerGraph's unique capability in supporting AML investigations and an AML toolkit demo from Expero.

Serverless ML, ML on AWS Lambda, ML on Google Cloud Functions, Scalable Serverless ML, Classify your dog for less than a penny!

The focus of this webinar is to identify Machine Learning, Visualization, and Graph technology trends in 2021 that can increase the accuracy and output of systems, and how including the ‘Human in the Loop’ can get you ahead of AML legislation.

The focus of this webinar is to show you how new Visualizations and Graph technology trends in 2021 can increase the usability and accuracy of your supply chain.

Take a look into Expero's Network Analytics Toolkit which optimizes core elements in airlines, logistics, or transport through filtering and advanced visualizations of key performance indicators capable of running 'What If' scenarios.

Get a quick look into the Fraud Toolkit from Expero with this demonstration investigating healthcare claims with machine learning, graph technology, and time series structures. Explore crucial features such as interactive dashboards, the ability to view flagged individuals, visualized connections to risky behavior, and more.

Explore Expero's Network Analytics Toolkit with this demonstration of Telco networks visualizing IoT connections in real time, along with the ability to forecast complex dependent networks.

The focus of this webinar is to identify how Machine Learning, Visualizations, and streaming technology can directly increase the accuracy and output of systems to drive revenue, cut costs, and include 'Human in the Loop.’ During this online meetup, you'll learn from our Confluent & Expero experts how to unlock the potential in your organization.

The focus of this webinar is to identify how Machine Learning, Visualizations, and Graph technology can directly increase the accuracy and output of systems to drive revenue and cut costs and include 'Human in the Loop.'

The focus of this webinar is to identify how the Imply Technology in conjunction with Machine Learning, Visualization and new technology can directly increase the accuracy and output of systems and how including the ‘Human in the Loop’ can get you ahead of fraud.

The focus of this webinar is to identify how technological advances can directly increase the accuracy and shorten process time for ‘Human in the Loop.'

Lynn Pausic, cofounder of Expero, discusses five ways to use 'humans-in-the-loop' to improve machine learning accuracy & increase trust during the online CTO Summit on data science.

The key learning topics of this webinar include: common scenarios where data science techniques are being used in trading situations, how lack of engineering rigor or audit controls may affect the results in these situations, and how the common data science notebook paradigm can be embedded in not just in your environment - but in your applications to apply that rigor.

The focus of this webinar is to identify how Machine Learning, Visualization and new technology like Graph can directly increase the accuracy and shorten process time for ‘Human in the Loop’.

The focus of this webinar is to identify how Machine Learning, Visualization and new technology can directly increase the accuracy and output of systems and how including the ‘Human in the Loop’ can get you ahead of fraud.

The focus of this webinar is to identify how high performance NoSQL, Graph and Machine Learning can directly increase the accuracy and drive revenue for Customer 360 applications. Additionally, you'll learn from our experts on how Expero and Scylla technology can unlock the potential in your organization.

The focus of this webinar is to discuss advanced topics and offer an open Q&A session with JanusGraph users and contributors.

Learn more about how Expero partners with TigerGraph in TigerGraph Toolkits for Financial Crimes, increased visibility & optimization with ER/MD demos, C360 applications, use cases involving the Financial Services industry, and more.

Learn more about how Expero partners with TigerGraph in TigerGraph Toolkits, increased visibility & optimization with demo applications, use cases, and more.

With disruption as the new normal, plans need to constantly realign and adapt. Managing flow across multiple tiers of suppliers is difficult under normal circumstances, but with changing lead times and supplier disruption, there is an increasing need to improve supply visibility. This webinar discusses strategies to map flows and improve plan feasibility and reliability for Supply Chain planners around the globe.

The topics discussed in this webinar include: the organizational and technological implementations needed to achieve a successful deployment, turning data science investment to increased value for users and profit for the business.

The key use cases to be illustrated in this webinar are: payload and route optimization, asset and driver optimization, warehouse location, multi-mode transportation options, higher more profitable miles, lower driver turnover, increased safety, demand and capacity planning, and the ability to 'What If' all parts of the logistics process in real time.

Fraud and loss affect healthcare payers and providers at a staggering amount each year. This also includes all areas of the business from underwriting to the investigations of claims and payments. In addition, fraud and loss is time consuming to investigate and fraudsters become more sophisticated and utilize more complex methods and technology that make it even harder to detect. The sophistication and pressure from world health events has driven the need for real-time analytics and prevent and intervene strategies.

Fraud Detection and Prevention in Finance

The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Entity Resolution and associated Customer 360 & Recommendations.

Supply chain superheroes manage disruption and manufacture products cheaper and faster. This crisis has shown us all how fragile the global supply chain actually is and why we need these superheroes more than ever before.

Demonstration of Expero workbench for detecting and investigating fraudulent activity such as AML, credit card transactions and internal threats.

Data Products Strategy and Implementation

Healthcare with Graph and Kafka

How capacity modeling can offer the best protection against erratic market demand

Complex Manufacturing & Supply Chain Round Table with TirgerGraph

Financial Services Round Table with TigerGraph

Data Products: What Product Managers Need to Know about Productizing Data Science

Energy Round Table with TigerGraph

Learn about fighting fraud with Graph and Machine Learning Experts

Learn more about the technology behind Data Products

Netflix open-sourced Metaflow for performing data science and machine learning on cloud providers such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud (GCP) - although optimized for AWS. What features does it provide?

Getting your graph to scale is only half the battle. Learn here how Expero helps businesses understand their data and make real time decisions using custom visualizations and UX.

Advances in automation of data analysis, graph analytics, data lineage, conversational queries and IoT analytics are widely predicted for 2020. Expero has capabilities and assets already in place.

Deep dimensionality exchange is a new deep learning protocol developed at Expero for performing domain transfer between domains of different dimensions.

Natural language processing is a powerful tool in building investigatory user interfaces for data exploration. See how conversation UI can be used to interrogate highly connected data to produce context driven data visualization and analytics.