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...