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Combat Insurance Claim Fraud: Reduce False Positives with GenAI & Graph
Fight insurance fraud with GenAI and Graph
Improve Supply Chain Performance Using a Native Parallel Graph
A native parallel graph enables manufacturers to identify and manage product delays, shipment status, and other quality control and risk issues, at massive scale in real-time.
Complex Manufacturing Round Table with TigerGraph
Complex Manufacturing & Supply Chain Round Table with TirgerGraph
Josh Perryman to present at GraphDay Austin!
Our client’s legacy system held graph-like data in a relational database, but new customers’ data sizes were crippling performance and scale. As part of an overall architectural rejuvenation, we evaluated migrating their data to graph and relational schemas to determine if query performance and scalability could be improved. With representative data in hand, we designed alternate relational schemas, graph database designs, and triple store designs, benchmarking performance and noting subjective measures such as ease of use and fluency of the query language. Vendors included PostgreSQL, Neo4J, Titan, and AllegroGraph. Follow-up studies included other vendors. The results surprised us, leading to a hybrid relational and graph recommendation. We have implemented the first milestone over the last year. Follow-up work shows that graph DB vendors have come a long way even in that time. This methodology and information in this case study should be useful to teams choosing a database engine, whether graph or relational, for their next project.Our client’s legacy system held graph-like data in a relational database, but new customers’ data sizes were crippling performance and scale. As part of an overall architectural rejuvenation, we evaluated migrating their data to graph and relational schemas to determine if query performance and scalability could be improved. With representative data in hand, we designed alternate relational schemas, graph database designs, and triple store designs, benchmarking performance and noting subjective measures such as ease of use and fluency of the query language. Vendors included PostgreSQL, Neo4J, Titan, and AllegroGraph. Follow-up studies included other vendors. The results surprised us, leading to a hybrid relational and graph recommendation. We have implemented the first milestone over the last year. Follow-up work shows that graph DB vendors have come a long way even in that time. This methodology and information in this case study should be useful to teams choosing a database engine, whether graph or relational, for their next project.
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Jetpack AI Assisted Analytics Module
Expero’s Jetpack AI Assisted Analytics Module is an innovative solution designed to elevate the approach to data analysis through the integration of advanced artificial intelligence.
Connected Jetpack
Connected Jetpack: An AI-assisted analytics module for navigating complex data and generating actionable insights!
Lower False Positives in Financial Crimes using LLM/ML and Spatial Analytics
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..
JanusGraph Nuts and Bolts Part 1: Write Performance
Explore your tuning options for increasing JanusGraph write throughput and lowering latencies.
Drive Revenue Growth in Wealth Management with Jetpack: A Powerful Generative AI Solution
Wealth managers struggle with data overload. Jetpack, powered by Generative AI, helps extract insights, streamline workflows & enhance client service. Learn how it works!
The Future of Finance: Navigating the WealthTech Revolution in 2024
Uncover the impact of technology on wealth management in 2024. This webinar dives deep into optimizing workflows, crafting user-friendly digital experiences, and leveraging AI for efficient portfolio management and personalized investment strategies. Additionally, the session will address ethical considerations, cybersecurity risks, and the impact of data privacy and regulations.
2024 Trends in Financial Crimes: Navigating the Fight against Financial Crimes through Advanced Analytics and Software Innovation
This educational session will dissect the crucial learning points and engage in lively discussions led by industry experts from FTI Consulting and Expero.
Order Matters: Handling Message Sequencing in Spark
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.
Feature Bloat or Genuine Value? Understanding Usefulness vs. Usability
Q: In usability tests, people say our application is easy to use. But in the field, very few users are actually using the app. What should we do?
Turning AI Aspirations into Real Business Value
Our panel of industry experts from Morningstar, Wayfair, Reuters and Expero will share perspectives from implementing AI across finance, media and e-commerce.
Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph Database
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.
Lower False Positives in Financial Crimes using LLM/ML and Spacial Analytics
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.
A Quick Note on GPU Accuracy and Double Precision
Single precision vs Double precision on a CPU vs GPU in high performance computing simulation.
An Inside Look at Fraud Detection Software: Leveraging Machine Learning and Graph Technology to Fight Fraud
This blog post discusses the importance of fraud detection and prevention in organizations and introduces Expero's Connected Toolkit as a comprehensive solution.
Understanding the Digital Twin
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.
The Future Of Workflow And The Financial Desktop
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.
Expero CoNNected Financial Crimes: Kinetica Edition
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.
Technology Solutions and Trends to Fight Financial Crimes
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.
Technology Solutions for Trade Surveillance
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.
Fighting Financial Crimes with Graph Analytics
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
The Art of Building Front End Applications for Capital Markets
The webinar will delve into key considerations when designing front-end applications for capital markets, including how to incorporate real-time data visualization and analysis.
2023 Technology Trends in Supply Chain
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.
Product Spotlight: Advanced Energy Solutions
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).
Wealth Trends & Technology in 2023
The wealth management industry in the United States is facing a number of significant trends and challenges, as a confluence of forces converge on the industry. During this webinar, our panelists discuss trends and technology that they expect to see in the wealth management space in 2023.
2023 Trends in Fraud and AML
During this webinar, our speakers from Expero and Microsoft discuss expected trends in 2023 for Financial Crimes.
Expero CoNNected 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.
Software Solutions to Fight Retail Fraud
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.
Connected Financial Crimes - Neo4j White Paper
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.
Part Two: The Future of the Financial Desktop
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.
A Fraud Series - Part Eight: Quickly Detect & Prevent Fraud with Expero Connected
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.
A Fraud Series - Part Seven: Detect Fraud with Real-Time Alerts
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.
Fraud Detection Solutions to Fight Cyber Crime
A discussion on how Graph and Machine Learning work together to detect, prevent, and investigate cyber fraud using capabilities that Expero has put together.
A Fraud Series - Part Six: Insider Threat Security
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.
A Fraud Series - Part Five: Cybersecurity Detection and Prevention
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.
Cut Costs with Insurance Fraud Solutions
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.
A Fraud Series - Part Four: Building a Fraud Detection System
Building a useful fraud detection system requires bringing many tools together and making them work together to bring undetected anomalies to light.
Webinar: The Future of the Financial Desktop
During this panel discussion with industry experts on how the future of the financial desktop is evolving, we talk through different ways enterprises and solution providers should be thinking about their desktop strategies.
A Fraud Series - Part Three: Types of Fraud Identified by a Detection System
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.
2022 Trends in Fraud + AML
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.
A Fraud Series - Part Two: Adapting Technology to Fight Fraud
This post looks at the different technology approaches and adaptations to finding and detecting fraud, and the technology behind Expero's Fraud Product.
Building Composable Products - Using Discovery, Connected Data, and Smart Desktops
There is a gap between BI dashboards and hand-coded rich transactional applications that Expero finds itself in all the time. Especially in the capital markets, it's just too hard to integrate data from multiple systems and build an immersive and productive experience.
C360 for Retail
Explore various graph algorithms and community detection styles in this retail use case demonstration for Graph Technology and Customer 360.
A Fraud Series - Part One: The Evolution of Fraud and Technology Impacts
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.
Fight Cyber Crime and Fraud with Graph and ML
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.
Accelerate Manufacturing Supply Chains with Graph and ML
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.
Fight Fraud With Graph + ML
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.
Fight Cyber Crime and Fraud With Graph & ML
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.
Finance Toolkit
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.
Fighting Financial Crimes with Graph Analytics- A Deep Dive
This discussion will go over how Graph and ML combine, as well as cover a demo of Anti-Fraud with Graph in action.
Increasing Revenue In Life Science With Graph & ML
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.
JanusGraph Community Meetup
This meetup will focus on how users are executing OLAP workloads against their JanusGraph data.
Financial Services: Fighting AML and Trade Fraud
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.
Financial Services: Fighting AML and Trade Fraud
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.
Radiant Path Demo
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.
Round Table: Food & Beverage Supply Chain Serialization & Traceability with TigerGraph
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.
Unlocking Portfolio Optimization with Compliance Opportunities with ML & Advanced Analytics
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.
Graph Product Selection
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.
Graph Product Selection Round Table
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.
Insurance & Claims Fraud with Graph & ML Round Table
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.
It’s Components All The Way Down
In this talk we’ll discuss patterns and anti-patterns from real-world projects including: how to split your application into components, using components in data & analytics for agility, enabling users to configure and “no-code” their own applications, and how components help to sequence a modernization program.
Pharma Supply Chain Round Table
During this webinar, we will show Supply Chain managers and planners how to utilize Graph technology to ensure organizational compliance with DSCSA.
Anti-Money Laundering With FIBO, Graph, & ML
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.
Applying Graph to C360 to Increase Top Line Revenue
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.
Increase the Effectiveness of Your Machine Learning Systems by Keeping Humans in the Analysis Loop
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.
Improving Visibility and Collaboration in Data Science Fraud Detection Workflows
During this webinar, we’ll dive into these collaborative and organizational challenges in the context of Data Science teams working in retail fraud.
Pulsar, Musings from a DataStax and Confluent Partner
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.
Fighting Money Laundering with Advanced Graph Analytics and AI/ML
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
Serverless ML, ML on AWS Lambda, ML on Google Cloud Functions, Scalable Serverless ML, Classify your dog for less than a penny!
2021 Trends in Fraud (AML)
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.
2021 Trends in Supply Chain
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.
2021 Trends In Finance Analytics
The focus of this webinar is to show you how new technology trends in 2021 can increase the usability and accuracy of your finance analytics.
Airlines, Logistics, & Transport Optimization Toolkit
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.
Financial Services Toolkit: Dashboard Demo
Delve into the dashboard capabilities of Expero's Financial Services Toolkit, used for portfolio analysis and recommendation, compliance information, and team sharing workflows.
Financial Services Toolkit: Portfolio Demo
Take a deeper look into how Expero's Financial Services Toolkit widgets are built, including: balancing through trade, running 'The Art of the Possible' scenarios, and compliance interactions with Jupyter Notebook.
Fraud Toolkit in Medical Healthcare Claims
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.
Network Analytics Toolkit
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.
Solving Supply Chain Use Cases With Confluent, ML & Visualization
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.
Supply Chain ML, Visualization & TigerGraph RoundTable
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.'
Detecting Fraud with Streaming Data with Imply
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.
Improving Stakeholder Value by Mitigating Insurance Losses through Analytics & Machine Learning with Tarleton Analytics Institute
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.'
Improving ML Accuracy & Trust with Humans 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.
Applying Notebook Analysis in Your Trading Applications
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.
Insurance Claims Roundtable With TigerGraph
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’.
Retail Fraud Round Table with TigerGraph
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.
Designing & Building a Real-World Trading Platform with OpenFin
This webinar offers a closer look at OpenDoor and how it works for its users, and insight as to how the product was made, usability, product, and software challenges that brought it to life as presented by Expero and OpenFin.
Customer 360 Round Table with Scylla
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.
JanusGraph User Group Meet Up
The focus of this webinar is to discuss advanced topics and offer an open Q&A session with JanusGraph users and contributors.
UX Design for Modern Financial Services Applications
The focus of this webinar is to share some of the important design and technology factors that enable you to build successful front- and middle-office applications.
TigerGraph UI ToolKits Financial Crimes
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.
TigerGraph UI ToolKits
Learn more about how Expero partners with TigerGraph in TigerGraph Toolkits, increased visibility & optimization with demo applications, use cases, and more.
Supply Chain Planning With Active Scenario Modeling
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.
Productizing Data Science in Commercial Products
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.
Transportation & Logistics with Graph & ML Round Table
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 Detection and Prevention in Healthcare Claims
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.
OpenFin & Expero present: Real World Platform & UX Design for the Modern Financial Desktop
Real World Platform & UX Design for the Modern Financial Desktop
Entity Resolution, Customer 360, & Recommendations Round Table with TigerGraph
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.
Optimize Supply Chains Using Machine Learning Superpowers
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.
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