Whitepapers
Data Privacy & Security for Ground Truth Data
Ground truth data is observational data from real-world scenarios. It often involves people, and collecting data from people requires consideration of data privacy and security. Indeed, privacy and security are among the most significant risk factors for firms...
Companion App Testing on VR Devices
Our client is a leading seller of virtual reality (VR) headsets. It also offers an ecosystem of Virtual Technology and VR applications available via its app store. For instance, its headset comes with a companion app compatible with android and iOS platforms. It...
The Importance of Speech Data Collection for Natural Language
On the surface, speech data collection sounds like it should be simple. After all, we all can record our voices with our phones at any time. However, a professional speech data collection project is about far more than just recording voices. Instead, we need a...
Best Practices for Data Collection During COVID-19
In 2020, COVID-19 upended everyday life and forced businesses to react quickly to public health mandates. Every company grappled with the challenges of staying informed about an ever-changing virus, promoting safety, and remaining operational. However, data collection...
The Science of Annotation and Tagging
Ground truth data is crucial for companies that develop Artificial Intelligence (AI) and Machine Learning (ML) products that ultimately have human interaction. AI and ML models require massive quantities of data to train. Collecting that data requires substantial...
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...
Ground Truth Data Collection for Speech
Q Analysts worked with a popular social media company that was preparing to enter the in-home smart-hub market. Already behind the launches of other smart-hub devices, the project success relied upon targeting a narrow set of features for the device, with an emphasis...
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