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. We discuss the importance of trade surveillance and how it can help financial institutions meet their compliance requirements, identify suspicious activity, and protect customers from money laundering, fraud, and market manipulation.
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. The role of user engagement in the design stage and during the vetting and implementation of designs will be explored, particularly in how it works with in-house teams, particularly engineering and back-end teams.
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).
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.
During this webinar, our speakers from Expero and Microsoft discuss expected trends in 2023 for Financial Crimes.
Expero is excited to announce that Tim Baker has joined our company as the Managing Director, Financial Services Practice Lead.
Expero is announcing the CoNNected for Financial Crimes platform, an all-in-one application to help fraud teams through dashboards, alerts, network investigation and exploration, case management, and reporting, is now available on the Microsoft Azure Marketplace.
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. This session will identify how to reduce false positives by 60%, increase accuracy by 70% and improve overall team productivity by 80% with Expero CoNNected software that bolts onto current on premise technology.
Expero is announcing the CoNNected for Financial Crimes platform, an all-in-one application to help fraud teams through dashboards, alerts, network investigation and exploration, case management, and reporting, is now available on the AWS Marketplace.
In this demo we discuss how Graph and Machine Learning work together to detect, prevent, and investigate cyber fraud using capabilities that Expero has put together.
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.
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.We’ll draw from examples from the world of financial crimes, investment management, and capital markets to demonstrate how new development frameworks and techniques are enabling workflows to be reimagined in a more user centric joined-up way.
In this series, we’ve shown that fraud is extremely expensive and can damage a company’s reputation. Preventative measures, such as employee training and email filtering can help reduce insider threats, but still leaves threats from the outside unhindered. 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. You can imagine using alerts to notify users of phishing attacks, fraud, or anything suspicious. Real time alerts are important for escalating and properly mitigating threats. They can even be preventative, declining fraudulent transactions (or enabling unusual, but non-fraudulent, ones) as they occur, before they escalate into full on fraud or successful attacks.
In this webinar we discuss 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.
Building a useful fraud detection system requires bringing many tools together and making them work together to bring undetected anomalies to light.
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.
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.
In the first post of this series, we quickly reviewed some of the many types of fraud that have occurred over the years. In this post, we will discuss these types of fraud in more depth and provide examples:
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.
In this post we'll discuss the future of the finance desktop and what changes may be coming.
This post looks at the different technology approaches and adaptations to finding and detecting fraud, and the technology behind Expero's Fraud Product.
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.
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.
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 discussion will go over how Graph and ML combine, as well as cover a demo of Anti-Fraud with Graph in action.
This meetup will focus on how users are executing OLAP workloads against their JanusGraph data.
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.
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.
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.
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.
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.
You can now deploy your models and get real-time scalable results without ever having to provision a server. Let me show you how I did it.
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.
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.
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 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.
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.
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 share some of the important design and technology factors that enable you to build successful front- and middle-office applications.
The focus of this webinar is to discuss advanced topics and offer an open Q&A session with JanusGraph users and contributors.
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
Real World Platform & UX Design for the Modern Financial Desktop
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.
Data Products Strategy and Implementation
Healthcare with Graph and Kafka
How capacity modeling can offer the best protection against erratic market demand
Financial Services Round Table with TigerGraph
Learn about Astra, the new DataStax DBaaS offering for Cassandra.
Graph database leader, Neo4j Technologies, has recently released Neo4j version 4.0 which includes many advancements and new features. This webinar will highlight some of the most high value new additions.
Data Products: What Product Managers Need to Know about Productizing Data Science
Learn more about the technology behind Data Products
What Netflix’s newly open-sourced data science toolkit has to offer.
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.
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.
Software quality matters. Learn from a real use-case how we follow the Software Craftsmanship method to push a hard project forward.
Technology for deploying scalable machine learning-based products otherwise known as data products.
Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.
Building data products in your organization to realize data science ROI and never before seen data insights.
Tuning JanusGraph is not for the faint of heart, read these tips and tricks to help you get the most out of your JanusGraph project.
Data products are the deployed scalable, reproducible outcomes from a data science initiative. Realize ROI from data science and deliver value to end-users.
Utilizing real time optimization with an event streaming platform.
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.
Use Machine Learning to increase volume, maintain profits and meet the needs of customers while maintaining a simple business policy.
