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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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 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.
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 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.