User-Centered Screeners: Balancing Accessibility and Effectiveness
Discover how Expero is revolutionizing data-driven decision making with its innovative screeners. Learn about the limitations of traditional screeners and how Expero's advanced features, including enhanced usability, robust analytics, and accessibility compliance, can empower your organization.
Navigating KYC Regulatory Changes: Leveraging AI and ML for a Scalable, Efficient, and Risk-Mitigated Program
Discover how to streamline your KYC onboarding process, enhance risk assessment, and bolster your organization's financial crime defenses using AI, ML, and Dow Jones Risk and Management Data. Learn about the benefits of creating a Fusion Center for KYC, Cyber, AML, Crypto, and Fraud teams.
UX Design for Data Intensive Products & Expert Users
Learn how to create intuitive and effective interfaces for domain experts. Discover strategies for working with complex data sets, visualizing information, and leveraging AI. Build a strong foundation for data-driven product development.
Financial Crimes Solutions for Tier 2 Banks
This webinar discusses the challenges faced by mid-sized banks (Tier-2) in complying with Anti-Money Laundering (AML) regulations. It highlights how new, turnkey Machine Learning (ML) and Artificial Intelligence (AI) technology can help these banks fight fraud while reducing unnecessary investigations (false positives).
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Moving Beyond Node Views
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.
Deploying Data Products
Building data products in your organization to realize data science ROI and never before seen data insights.
S&OP 5 Step Process + Toolkit
Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.
Supply Chain Solutions using Kafka + ML
Automating multifaceted, complex workflows requires hybrid solutions like streaming analytics of IoT data, batch analytics like machine learning solutions, and real-time visualizations.
Speed Dating with Cassandra
15 Minute Lightning Talks + Q&A. Powerful Data, Storage & Search & Graph Technology in 1 platform - Cassandra.
Fraud Detection Using ML & Graph
Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond to threats and anomalies. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Graph and ML will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph vs. traditional relational database platforms. Predict, Identify, and Intervene Fraud with Graph & ML Analytics.