Systems | Development | Analytics | API | Testing

How WEX Built AI-Powered Embedded Analytics in Just 90 Days

This is Part 2 of our WEX series. In this blog, we explore how the company scaled self-service analytics by embedding AI—read Part 1 on their people-first approach. You’ve got AI pressure from every angle: execs, customers, and competitors. But legacy analytics doesn’t just slow down development—it frustrates users and undermines the value your product is supposed to deliver.

7 API Tasks Modern Teams Automate with DreamFactory

Automate the boilerplate so you can focus on what actually matters. Developers spend somewhere between 30-50% of their time on repetitive tasks that add little value to the final product. In API development, this overhead is particularly painful: writing nearly identical CRUD endpoints over and over, manually updating documentation that immediately drifts out of sync, copying data between environments, and handling routine maintenance that should happen automatically.

Our Journey to Revolutionize Autism Care with Appian

Let me introduce you to Jake. He’s four years old, loves puzzles, and sees the world in his own unique, beautiful way. Like one in 31 children in the US, Jake has autism. His parents are told that early intervention is crucial for him to develop the skills and behaviors he’ll need to thrive. He just needs a little help with things many of us take for granted: pointing to make a request, speaking up, asking for things, making friends.

Why Apache Iceberg & Open Lakehouse is the Foundation for Data & AI Workloads

In this discussion, Dipankar - Cloudera’s Director of Developer Relations sits with Navita - Director of Product Marketing to unpack why Apache Iceberg has emerged as the foundation of the open lakehouse - and why it’s increasingly essential for modern Data & AI workloads. Dipankar & Navita walks through how Iceberg became the de facto standard among open table formats, what it's design enables (interoperability, engine-agnostic access, reliable metadata), and why openness matters as organizations move toward multi-engine, hybrid data architectures.

How to Coach Sales Reps using Activity, Conversion, and Revenue Data | Data Snacks

In this video, Zorana, Sales Manager at Databox, walks through how she uses a single dashboard to understand sales performance beyond revenue alone. She explains how combining activity metrics, conversion indicators, and revenue outcomes by rep helps her identify who needs coaching, what kind of coaching is required, and where to focus her time each week. You’ll see how trend comparisons highlight improvement or decline early, how gaps between effort and results guide decisions, and how viewing team-wide performance can signal broader process issues.

How Functionality Testing Software Improves Product Quality

You may be surprised to learn that more than 70% of software failures due to unaddressed functional issues that could have been caught during testing. Think about it: you release a new app or system, a user clicks their way through a common user flow…and it fails. In our competitive digital economy, we assume performance and intuitiveness—one hiccup, and users will stop using you as a provider, and possibly undermine your credibility.