Explore our Webinars

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

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.

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

Cut Costs & Optimize Revenue with Supply Chain Technology.

Watch our online seminar to learn how to unlock patient 360 & prevent opioid fraud with graph & ML technology. We discuss how graph-based Patient 360 breaks silos and enables analytics to discover more efficient operations, better healthcare outcomes, and fraud detection.

Trading Alternative Investments using Connected Data & Machine Learning

Understand the differences between supply chain visibility, traceability, and transparency. Learn what graph is and how it can create a unified view across digital and physical supply chain processes, yielding more prescriptive supply chain decision making. Use Graph + ML to improve demand forecasting and production planning, while reducing inventory and operating costs. Focus areas include, inventory, routing, predictive analytics, device & fleet management, materials, and more.

15 Minute Lightning Talks + Q&A

Expressive Data Models with JanusGraph - High Performance JanusGraph Data Load

Structured Finance investors often miss opportunities to maximize portfolios due to a lack of state of the art tools and processes.

Have you ever stopped to understand what graph databases are and what they can do for you? Graph databases and graph processing frameworks are all the hype in the NoSQL world at the moment. The ecosystem is constantly evolving and different datastores of processing frameworks are coming out what seems like weekly. The truth is that graph databases are a great way to solve certain application problems in areas such as personalization and recommendation, logistics, master data management, social networks, fraud or IoT but many people are completely lost when they step foot into the exosystem. In this session we will help you make sense of the graph ecosystem with an examination of a variety of graph datastores (e.g. Neo4j, DSE Graph, Titan, OrientDB, etc.) and graph processing frameworks (e.g. Giraph, GraphX, Elasticsearch Graph, GraphQL, Pregel, etc.). We will then discussing how you might use these technologies to augment or replace complex portions of your applications. In the end you will walk away with a better appreciation for the practical aspects of the graph ecosystem and you might even find out how to remove that complex recursive SQL CTE that gives you nightmares.

Use graph and machine learning to optimize routing, inventory, predictive analytics, and fleet management of your supply chain while cutting costs and making your dollar go further.

Learn how Google Cloud Bigtable, Pub/Sub, and BigQuery with JanusGraph can help to identify risk and fraud patterns in order to quickly respond. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Google Cloud Platform products and services with JanusGraph 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.

Learn how Google Cloud Bigtable, Pub/Sub, and BigQuery with JanusGraph will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Utilizing Google Cloud Platform products and services with JanusGraph will allow you to visualize the customer journey, increasing customer satisfaction by providing meaningful interactions. Watch to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Accelerating IoT, Finserv, and Supply Chains with JanusGraph and Cloud Bigtable

Data Management for Oil and Gas - Predictive Maintenance Intelligence

Data Management for Oil and Gas using IOT and Machine Learning for Asset Management

Use Graph Technology and Machine Learning to finally get a usable all encompassing view of your customers to stop churn and drive revenue.

Use Machine Learning and Graph to Stop Fraud Before it Happens

Don't be in the dark when the next natural disaster happens. Visualize your data with real-time supply-chain mapping powered by Graph Technology.

Use Keylines to increase customer loyalty from within your graph database.

Don't be in the dark when the next natural disaster happens. Visualize your data with real-time supply-chain mapping powered by Graph Technology.

Lock Down Funding for Intelligent, Graph-Enhanced Fraud Solutions

So many options in fast moving the graph database world, which one should you choose?

Use Machine Learning and Graph to Stop Fraud Before it Starts

Thwart Fraud Using Graph and AI

Ted Wilmes discusses the state of JanusGraph in the year 2018. Throughout the session he touches on where we are in the world of graph, what is new, and where JanusGraph and Apache Tinkerpop are headed.

A method of classifying nodes in an information network by application of a non-Euclidean convolutional neural network

Identify ROI and business case costs at a high level. Increase delivery with real-time impact and transport analysis.Learn how Graph Technology + Machine Learning will improve delivery times, minimize transport risk through data analysis and increase product satisfaction. Use predictive analytics to reduce operational bottle necks and discover areas of concern affecting supply. Using Graph + ML allows you to increase customer satisfaction through visualization of supply and demand impacts.

Learn how DataStax Graph Technology will improve delivery times, minimize transport risk through data analysis and increase product satisfaction.

Learn how DataStax Graph Technology can help to identify risk and fraud patterns in order to quickly respond. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing DataStax Graph Technology 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 Technology vs. traditional relational database platforms. If there are new ways to commit fraud these days, shouldn't your company have new ways to prevent it? What You'll Learn Detection and anomaly identification - discuss ROI and time: the value of early detection.Progressive Disclosure - The ability to drill in as items are presented as requiring interaction. Create the ability to allow large data viewing without overwhelming users with millions of data points.Scoring and use of algorithms - The ability to score and create usable information from multiple sources. Creation of scorecards and risk calculations for indicating to users what to spend time on and look at more closely.Visual representation of risks, anomalies, hot spots and heat maps and need for human interaction. Creation of easy to identify visual screens and dashboards for key decision makers that allows for real time diagnostics.

Learn how DataStax Graph Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Utilizing DataStax Graph Technology will allow you to visualize the customer journey increasing customer satisfaction by providing meaningful interactions. Join us to learn how to maximize resources with Graph Technology and finally get an all encompassing view of your customer.

Utilizing Graph technology 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 technology vs. traditional relational database platforms.

Congratulations, you have identified what software products to modernize and you have identified what cloud technology you need to use for the upgrade! Now what? Join us to identify how to get your business case and modernization project funded.

Moving to a public or private cloud can dramatically reduce operational costs and speed up delivery of key features. But how do you get there from here? In this seminar we’ll jump into pragmatic ways to improve the way legacy applications are built and deployed as well as how to take an incremental approach to modernize those applications.

In this session of our client-server to cloud seminar series, we share proven methods for determining if modernizing makes sense for your application, a checklist of considerations, and a Lean process for creating a sound modernization strategy.

Is your software built on sunsetting technology like VB6, .NET, etc? Do you have low user satisfaction because of outdated software? Does it take too long to develop and roll out new features? Are you losing ground to solutions that offer mobile versions? Is it becoming difficult and expensive to maintain staff with legacy knowledge? Is your on-premise legacy infrastructure costly to maintain?

Scott Heath and Patrick McFadin talk about how Expero and Datastax are partnering together to solve complex problems with graph data.

Software and web developers often wear many hats, including the UX/UI hat. But some developers lack the knowledge and skills to design UIs or to collaborate effectively with UX designers and researchers.

Companies across a variety of industries are trying to attain a holistic view of their customers. From creating a more personalized experience, to creating more timely and relevant support, to simply marketing to them more efficiently and effectively, there are tremendous gains to be had with a 360-degree view.

Congratulations! Your data is up and running in a graph database and you have big plans for this technology. But now the system is overtaxed and not performing properly. Don't worry- the database may not be the culprit. Proper user experience and visualization techniques can greatly improve performance and dynamic data interaction.

Expero's Dave Bechberger was invited to participate in an online panel focusing on DevOps and Security which was put on by Continuous Discussions (#c9d9). Continuous Discussions is a weekly online panel discussion which is sponsored by Electric Cloud and discusses a variety of topics around Agile, Continuous Delivery and DevOps with a range of different speakers. The panel discussed the role that DevOps plays with respect to Security. This topic was broken into several different sections: Securing your Code, Securing your Environments, and Securing your Process.

Graph databases are a new paradigm for many folks. Hear Apache TinkerPop committer Ted Wilmes introduce graph topics and map them to their well-known SQL cousins.

We are in an era of unprecedented innovation in databases. Data-intensive companies are grappling with whether the many new options — NoSQL, Key-Value, Document, Column Family, Column-Oriented — are appropriate for them. The commercial success of Facebook and LinkedIn makes graph databases a hot area of investigation. Unlike many new databases, they are not a variation on or a simplification of relational databases. Instead they require new ways of thinking and modeling data. In return they can answer truly novel questions.

What do my users want to do with Big Data? How do they want to visualize it, interact with it and manage it? How big is my data, really? How much data can a human deal with at one time, and how much data should we process at one time? How can the UX accommodate data sources that respond at different rates?

In this webinar, Expero highlights the major differences between static wireframes and interactive prototypes, shows examples of the design fidelity spectrum, and outlines the best ways to leverage wireframes and prototypes throughout the product design life cycle.

Expero's Lynn Pausic and Chad Huff present best practices for creating useful and usable interactive visualizations for complex data sets, starting with ascertaining what your users will do with the data.

Using UI design patterns can lead to a 50% increase in product development efficiency, and it can dramatically improve usability and user adoption.