Collaboration during litigation is critical to ensure that all relevant information is discovered and reviewed. However, the emergence of various communication platforms like Slack and Teams has made ...

In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, ...

It’s no secret that big data can mean big challenges in the ediscovery world. Data volumes and sources are exploding year after year, in part due to a global shift to digital forms of communication in ...

Picture this: You're a business owner struggling with your competitors. Sales are decreasing, and you're not sure why. You start to pay attention to your website and social media channels, analyzing ...

Data management remains a major issue for healthcare organizations as the amount of data generated and stored by them is growing rapidly, making it difficult to manage this information with accuracy ...

Conducting health equity research relies on complete, accurate information about race and ethnicity. However, data quality issues, including race/ethnicity misclassification and data incompleteness, ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Amid the rapid evolution of digital landscapes, data and AI have emerged as critical tools in human resource (HR) management — but these advancements present both promise and perplexity for HR ...

It is impossible to imagine being unable to access our banking information, pay bills online, search the web, download documents, get email, or stream our favorite programs — whenever and however we ...

The challenge brought together data scientists from around the world who built machine learning and computer vision models to help the league better measure and analyze the timing, duration and ...