Featured Insights

Hey TigerGraph! Your 2020 Forward Looking Thoughts Are Already Here!

At Expero, TigerGraph’s 2020 projections are already in place or well underway.

Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange

Deep dimensionality exchange is a new deep learning protocol developed at Expero for performing domain transfer between domains of different dimensions.

Chatting with Data: Interrogative UIs for Exploratory Data Analytics

Natural language processing is a powerful tool in building investigatory user interfaces for data exploration.

All Blog Posts

Amazon Neptune: First Impressions

As of late Q2 of 2018, there’s a new entry into the graph database marketplace, Amazon Neptune.

Opioid Fraud Detection Using Deep Embedding

One of Expero’s fraud detection techniques applied to the false prescription of opioids in clinical settings.

Graham Ganssle, Ph.D., P.G.

Time Series Forecasting with Kinsa Health and Expero

Using recurrent neural networks, we predict the spread of illness in the United States.

Graham Ganssle, Ph.D., P.G.

Saving Time and Money with Wireframes

Wireframes call out key moments in design in order to clarify how something should look, feel, and function.

Getting Started with Graph on CosmosDB - Part 1

The property graph database space has been dominated by a handful of names who on balance are not that big in the software marketplace generally speaking.

JanusGraph & FoundationDB at Graph Day San Francisco 2018

A sneak peak of this year's Graph Day SF talk on ACID.

Developing a JanusGraph-backed Service on GCP

The graph database space is rapidly expanding as more and more companies identify potential use cases that require the traversal of highly connected data sets.

JanusGraph Nuts and Bolts Part 2: The New CQL Adapter

Speed up your JanusGraph queries with these tuning tips and the new CQL storage adapter.

A Quick Note on GPU Accuracy and Double Precision

Simulations are often run with double precision to reduce error - at the cost of performance.

Vue From an Angular Programmer’s Perspective

Discover why an Angular programmer would use Vue over Angular any day of the week.

Reinforcement Learning: Bush Pilots in the Outback

See how Reinforcement Learning can be used to optimize pickup and delivery schedules in an unpredictable environment.

Customer Satisfaction Scoring Using GraphML

Find dissatisfied customer cohorts and evaluate intervention measures using graph machine learning.

Graham Ganssle, Ph.D., P.G.

2018 is the Year of the Graph

A practical guide on some of the main players in the graph database marketplace.

Fraud Detection Using Deep Learning

How to detect both credit card fraud and money laundering using graph and machine learning.

Graham Ganssle, Ph.D., P.G.

Node Classification by Graph Convolutional Network

Leveraging the natural structure of data, graph convolutional networks produce optimal predictions of node properties.

Graham Ganssle, Ph.D., P.G.

JanusGraph Nuts and Bolts Part 1: Write Performance

Explore your tuning options for increasing JanusGraph write throughput and lowering latencies.

To Catch a Thief… You Need Entity Resolution

FBI’s use of machine learning based entity resolution to catch criminals and fraudulent activity.

Graham Ganssle, Ph.D., P.G.

Order Matters: Handling Message Sequencing in Spark

Messages coming into your Spark stream processor may not arrive in the order you expect. Learn how to handle the unexpected.

Schema Support in Three Property Graph Databases

Support for database schemas is at its nascent stages in the evolving property graph space.

Microsoft Cosmos DB Graph and Dropwizard-TinkerPop

Learn how to connect to connect your next Dropwizard app to Microsoft’s new Cosmos DB graph layer.

Web Design, Courtesy of AI

Can an AI learn to write better looking websites than a human? Frighteningly, yes.

Graham Ganssle, Ph.D., P.G.

What Machine Learning Can Learn from Graph

Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.

Use Real-time Graph Technology to Detect and Prevent Fraud

Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond.

Dave & Ted’s Excellent Traversal Adventure: Graph Databases & Gremlin Part 2

Dave and Ted discuss Graphday and their thoughts on DSE, Neo4j, Microsoft's CosmosDB, and JanusGraph.

Web Application Types (Part 2): The Modern Single-Page App

In this post, we're going to dive into the client-side single-page application, commonly abbreviated as “SPA.”

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