Data Matters: Our thoughts and views on the state of digital data
Leading travel aggregator and booking engine required highly accurate datasets for a booking assistant BOT that operates in multiple languages
Global analytics provider required pristine datasets to help oil and energy companies identify potential mining sites.
A government agency in Canada needed an AI solution to accurately assess public opinion on the topic of suicide through the analysis of online social media feeds. The agency required ongoing data on trends, as well as risk and protective factors associated with suicide-related behaviors among various population groups.
A leading online gaming platform needed help reviewing vast amounts of chat logs line-by-line to determine if the content is appropriate for its all-ages audience.
A leading financial intelligence company offers a comprehensive database of information on M&A, IPO, private equity, and venture capital. They collect structured and unstructured data comprised of 84 fields of interest within news items from 5 sources. Because manually processing the unstructured data is both resource- and time-intensive, they sought an elegant solution to automate this process.
Content Moderation refers to the process of ensuring user-generated content upholds platform-specific guidelines and rules to establish the suitability of the content for publishing. When a user submits content to your website, it is your responsibility to ensure it is appropriate, legal, and meets the regulations of your website.
On-demand, flexible, and scalable data annotation team delivers near real-time judgments on the accuracy of the model’s predictions. Annotators must distinguish key features and vote on whether they match the model generated recommendation. Each photo is initially voted on by two annotators…