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

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

Data products are the deployed scalable, reproducible outcomes from a data science initiative. Realize ROI from data science and deliver value to end-users.

Exploring TigerGraph GSQL’s accumulator capabilities with an example implementation of Dijkstra’s algorithm.

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

As a user researcher, I’m always inclined to say, “Test everything, all the time!” when people ask, “What/when/how should we validate with users?”

User Personas help designers, researchers, product owners, stakeholders and investors understand a particular user type’s behaviors, needs, and goals.

We’ve taken our expertise and experience and used it to create a tool that will help us provide a successful, thoughtful, user experience design.

Q: How am I supposed to design when I don’t know what I’m designing?

Q: My company thinks about customer requirements but does not think about end-users. What’s your advice?