Explore our thinking

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.

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.

Join us as we discuss the value of estimation and share some helpful methods and tips to consider when estimating time and effort. We’ll also discuss some common misconceptions and pitfalls that can creep into the estimation process and how you can help yourself and your team navigate through them.

What if Santa approached you to build a naughty or nice list application for him? Where would you start? What questions would you ask? Why did he approach you to begin with? We spent way more time than we should have thinking through all of these questions so you wouldn’t have to. So pour yourself some eggnog, kick back by the fire, and join us for a peek behind the curtain to see how such a simple idea can quickly get out of hand. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on twitter @experoinc

Machine learning and artificial intelligence are often subjects of heated debate around privacy, ethics, sustainability, job security, and sometimes even world domination. So how can data scientists, designers, and developers navigate that very real tension to build systems that are both trustworthy and trusted by their users? Join us as we discuss some of the concerns and solutions to these questions. Book recommendation by Dr. Graham: Army of None: Autonomous Weapons and the Future of War Learn more about machine learning solutions with Expero: experoinc.com/tag/machine-learning Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

Imposter Syndrome, or put more simply, feeling like you’re not as skilled or capable as everyone else around you, affects more people than you may think. It can quickly turn from a passing thought to a constant worry, affecting your mental health, productivity, work relationships, and many other aspects of your career and personal life. Today we’re focusing on this common sentiment to discuss not only how to deal with it, but how to turn it into an opportunity for growth and career development. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

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.

Today we’re discussing the sunk cost fallacy - what it is, why it matters, and what to do when you find yourself or those around you buying into it. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

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.

New technology options are abundant and diverse. How do you know when it’s time to try something new or stick with what you know? How will these decisions affect your team as a whole? What do consultants consider when making these calls? Join us as we discuss all these questions and more. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

This week we’re joined by Expero’s Co-Founders to talk about what running a consulting firm is really like. We’ll discuss the unique challenges and opportunities that consulting offers, why attracting and keeping talented people is so vital, and how to punch above your weight to win big deals with big customers. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

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.

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.

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.

Our own mental health is an important yet often overlooked part of our lives that affects everything we do. Burnout, anxiety, and stress often plague the world of consulting and require a proactive strategy to combat. Join us as we discuss how to foster a company culture of respect, openness, and care toward mental health needs as well as some of the strategies Expero has implemented to better support and care for employees. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc Resources: • Suicide prevention hotline: 1-800-273-8255 • 911 for life threatening emergencies (note: suicide prevention and mental health providers will use 911 as a last resource if they are unable to diffuse the situation). • 1-800-273-TALK (8255) or Live Online Chat with the National Suicide Prevention network, where you can talk to training professionals. Can provide crisis counseling and mental health referrals. • 1-800-662-HELP for Substance Use and Disorder Issues. • 1-877-SAMHSA7 (662-4357) SAMHSA is a Government Administration under the US DHHS, tasked with helping to provide referrals to mental health providers, and can act as a crisis hotline. • State, county, and citywide hotlines (vary by state/county). • Some states provide COVID-19 Crisis Counseling hotlines, Veteran Crisis hotlines and Teen crisis hotlines.

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.

How does the UX design process change when your users are experts in their respective fields? Join us as we discuss the complexities of designing software for a subject matter expert rather than designing software for your parents and why it matters to take those differences into consideration. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

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.

Clearly communicating design needs and goals between UX and development teams can be difficult to navigate. Join us as we discuss best practices, tips and recommendations, and lessons learned from our experiences in the world of consulting. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

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.

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.

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.

Join us for the inaugural episode of Connecting The Dots, a podcast by Experonauts. Today we’re discussing Proof of Concept software - what it is, how to approach developing it, mistakes we made in the process, and lessons learned over our years of experience in consulting. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc

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.

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.

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.

Delve into the dashboard capabilities of Expero's Financial Services Toolkit, used for portfolio analysis and recommendation, compliance information, and team sharing workflows.

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.

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 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 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 can directly increase the accuracy and output of systems and how including the ‘Human in the Loop’ can get you ahead of fraud.

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.

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

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.

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

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

Explore building and connecting applications in Astra Cloud that connect to Cassandra via a sample traditional supply chain application demo that visualizes supply, demand, risk, and more.

Financial Services Round Table with TigerGraph

Complex Manufacturing & Supply Chain Round Table with TirgerGraph

Fist impressions of Astra, the new DBaaS from DataStax.

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.

Learn how Software Craftsmanship powers up Agile methods to move fast in complex projects.

Technology for deploying scalable machine learning-based products otherwise known as data products.

Build a single view of your corporate security model using new capabilities in graph and streaming technology through which you can funnel all your access attempts to critical data.

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.

JanusGraph tuning and performance best practices

Data products are productized versions of data science and machine learning initiatives that deliver value to end-users.

Utilizing real time optimization with an event streaming platform.

With Confluent and TigerGraph quickly emerging as high-quality enterprise software, learn how you can take your LDAP data, RBACs, and ACLs and quickly model and mirror them in a graph database using Kafka, a real-time streaming software.

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.

Given a large batch of healthcare data, we efficiently find similar patients to determine what remedies to recommend using traditional search methods and graph algorithms.

Learn how to avoid bugs and gain confidence when refactoring code by writing tests for your React code using Jest, React Testing Library and a Test Driven Development approach.