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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
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How do you screen and select the right workforce for an optimized #precisionagriculture AI data labeling experience? This ebook covers critical questions to ask your prospective partner: hubs.li/Q01q9vJ50 #agtech #managedworkforce #datalabeling

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Do multiple workforces optimize the AV data pipeline? You can get better results with an AV-centric approach. Read the blog to find out more. ➡️ hubs.li/Q01jBxby0 #autonomousvehicles #avworkforce #avdata #managedworkforce

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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

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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
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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
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Why should #fintech companies #outsource #dataprocessing? What are the key ingredients of a secure outsourcing arrangement? And how does a #managedworkforce help ensure the security of your data? Find out in this blog. hubs.li/Q012kJGS0

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Humans in the loop play a vital role throughout the AI lifecycle. Poor utilization of people in the AI lifecycle is costly and yields low-quality data and poor model performance. #managedworkforce #ML #AI #dataprocessing #humansintheloop hubs.li/H0YJtN60

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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

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Should you choose a managed team or crowdsourced team for data processing? See how both options performed in 3 identical tests then you decide: hubs.li/H0TphdC0 #DataProcessing #ManagedWorkforce #DataEntry

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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
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How do you assess a data labeling partner for quality? We share best practices based on the high-quality work we've delivered for over a decade. hubs.li/H0RsJKg0 #DataProcessing #DataEntry #ManagedWorkforce

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Is your company struggling with data processing work? This guide will help you figure out how to ease your internal teams and scale your data entry. hubs.li/H0PxVF50 #DataProcessing #DataEntry #ManagedWorkforce

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We take pride in the support we provide to clients across the globe. Feedback like this means the world to us. Read more client stories here: hubs.li/H0PdvJv0 #dataprocessing #workforcesolutions #managedworkforce #thankfulthursday
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Happy clients make us happy. Read more stories from our clients here: hubs.ly/H0LMrG90 #ClientTuesday #ClientSuccess #DataAnnotation #ComputerVision #ManagedWorkforce
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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

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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
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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

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