Explore our thinking

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

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.

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 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.

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.

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.

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 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 like Graph can directly increase the accuracy and shorten process time for ‘Human in the Loop’.

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 discuss advanced topics and offer an open Q&A session with JanusGraph users and contributors.

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.

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.

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

Complex Manufacturing & Supply Chain Round Table with TirgerGraph

Financial Services Round Table with TigerGraph

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.

Building data products in your organization to realize data science ROI and never before seen data insights.

Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.

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.

Join us for this quick deep dive on how machine learning and analytics can be used to get insights into your data & scheduling/managing fleets.

What makes Svelte a different UI framework and why you should give it a try. In this article you will learn the benefits of using Svelte, the new (and different) UI framework, as opposed to others like React, and Vue.

Predict, identify, and intervene using graph technology and Moove.ai Machine Learning Analytics.

See how compiled data sources allow for real-time mapping of road safety and current conditions.

Supply chain planning demo showing real-time visibility into demand and capacity planning.

Supply Chain planning and analytics dashboard showing risk visibility, real-time data and time series.

System Integration sourcing data for Graph Analysis.

Understand the differences between supply chain visibility, traceability, and transparency.

Customer 360 in financial services showing segmentation and churn avoidance, sentiment score, and best next conversation.

Automating multifaceted, complex workflows requires hybrid solutions like streaming analytics of IoT data, batch analytics like machine learning solutions, and real-time visualizations.

15 Minute Lightning Talks + Q&A. Powerful Data, Storage & Search & Graph Technology in 1 platform - Cassandra.

Learn more about JanusGraph and its capabilities in this online meetup.

Graph machine learning (graphML) is a subset of deep learning with much higher accuracy because big data records are linked together by their relationships.

Globalization (G11n) of an application involves more than just translating text. Internationalization (I18n) is the process of enabling your application to be used in different languages and culture. Localization (L10n) covers the work to provide the application in one specific language and culture. Selected locales can help in providing translated text, but some information needs to be converted (times, dates, currencies).

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. ‍

This demo explores Portfolio Optimization for Alternative Investments

#NLP #MachineLearning #algorithm learns to tell #stories by summarizing #commercial #RealEstate #data, #earning #profits and spurring #CustomerRetention. #BINGO!

Join Scylla and Expero to learn how to use JanusGraph and Scylla to architect a corporate compliance platform.

When localizing an application, treat the capabilities as features. Consider the specific use cases and work with the users to refine the approach. There may be design and layout adjustments needed per language. If the application is a CMS, content as well as application resources may need translations.

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.

See why accumulators help TigerGraph’s GSQL query language standout among other native Graph Databases.

Learn how Graph & Machine Learning Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Expero will demonstrate how visualizing customer journeys can provide your users with meaningful interactions and increase overall customer satisfaction. Join us to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Reinforcement Learning at scale; Scheduling thousands of vehicles in multiple environments - how we made it work.

Cut Costs & Manage Entitlements with Graph Technology & ML Analytics.

This demo explores Entitlements & ID Management

Cut Costs & Optimize Revenue with Supply Chain Technology.

This can be like the one sentence description, but the more buzzwords the better. This is what google will pull from when people search.

Learn how to protect your resources by setting up serverless OAuth authentication with Auth0 and AWS Lambda@Edge.

Cassandra, DataStax, ScyllaDB, CosmosDB, RedShift - they all scale horizontally and with you will pay more as you add nodes - even if the SW is free, the compute time is not. Use Gatling to forecast your budget needs so you don’t surprise your CFO.