Finance leaders need to know the key ingredients to consider when seeking a secure outsourcing partner for data-intensive projects, including ISO-9001, ISO-27001, and SOC2 compliance.
Read what else matters in this blog: hubs.li/Q01KSwgV0#managedworkforce#dataprocessing
Discover safer, faster, lower-cost, and innovative ways of working. We also share what we've learned from working with leading precision #agtech companies, including scalable data prep and labeling ⤵️
hubs.li/Q01j2Qwx0#datalabeling#managedworkforce
Insurance and #insurtech companies are hard at work automating every stage of the insurance lifecycle 🔁
Our #managedworkforce specializes in data extractions, cleansing, annotation, and review for sales, underwriting, and claims processing use cases → hubs.li/Q01gCr580
ALT Need help with your insurance data? CloudFactory has you covered.
Creators of Driver, a free, AI-powered accident avoidance app, turned to CloudFactory when they needed #datalabeling support to build their DriverCloud database. Our expert teams provided 3,000 hours of #managedworkforce hours for the initiative. Read on
hubs.li/Q0130xz20
Scaling with internal resources alone can be tough! Learn how we helped the company scale its database of scholarship opportunities, with 100,000 applications processed and $20 Million scholarships awarded: hubs.li/H0WKpkt0#dataprocessing#managedworkforce
We take pride in the support we provide to clients across the globe. Feedback like this from @truelarkai means the world to us. Read more client stories here: hubs.li/H0RsHSw0#DataAnnotation#ManagedWorkforce
Zyte, a leader in web data extraction technology, turned to us to speed up the development of a new web scraping tool. Discover how we expanded @zytedata labeling volume and freed up 60% of their internal resource time
hubs.ly/H0LdMKQ0#AIFriday#ManagedWorkforce
Hivemind gave a team of crowdsourced workers and managed workers the same tagging test but the results were quite different. Learn what led to that difference in our study: hubs.ly/H0Gl98k0#crowdsourcing#managedworkforce
Crowdsourced workers were 4x more likely to choose ‘Other’ while tagging data. Meanwhile, the managed workers got 74% of that data tagged correctly. Learn what impacted the differenced between these workforces: hubs.ly/H0Dvrhf0#crowdsourcing#managedworkforce