Data Collection for Natural Language Processing

Enterprise investments in artificial intelligence (AI) are on the rise. Two-thirds of companies say they’ve accelerated AI adoption plans, and nearly 90% agree that AI is quickly becoming a mainstream technology. Many of the mission-critical AI solutions used by...

An overview of Ground Truth Data Collection

What is Ground Truth Data? Ground truth data is data collected at scale from real-world scenarios to train algorithms on contextual information such as verbal speech, natural language text, human gestures and behaviors, and spatial orientation. The broad use of the...

The Science of Human Data Collection

What is Human Data Collection?  As the world around us becomes more digitally focused, the way we interact with machines, data and each other is becoming more prominently through touchscreens, gestures, facial recognition, voice commands, and beyond. This revolution...

Best Practices for QA & Testing For AR, VR and MR

What is Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) Technologies? Augmented reality (AR) and virtual reality (VR) and mixed reality (MR) — or used collectively, XR— are disruptive technologies that will impact many aspects of our lives in the...

Software Quality Assurance Overview

What is software quality assurance?  QA is understanding users’ demands and anticipating what their needs will be, determining the best path for testing the software, and conducting a series of activities in as many scenarios as needed until the software performs at...

Implementing a Successful Dogfooding Program

Gathering real-time feedback to discover product defects and improve design “Dogfooding,” or “‘eating your own dogfood” is the procedure of using your own designs and APIs to evaluate the qualities and capabilities of a product prior to its release. The term is...