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Best Practices for Your AI Workforce

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For all of artificial intelligence’s promises, we still need humans in the loop to make it all possible. Humans collect, enrich, clean, and prepare data for AI systems to operate with optimal accuracy.

Learn about your workforce options and best practices for choosing your AI workforce.

Published in: Technology
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Best Practices for Your AI Workforce

  1. 1. Best Practices for Your AI Workforce Your workforce options & best practices to get data work done
  2. 2. It takes humans to enrich, clean, and prepare data for AI systems to operate optimally.
  3. 3. Prepping data for AI use is time-consuming. It can take hundreds of hours to label images in a single hour of video to transform unstructured data into useful, structured data.
  4. 4. Your Workforce Options There are a number of ways innovators apply human resources to get data work done.
  5. 5. In-House Team Hire, train, and manage an internal team. Good option when you want high visibility of your team’s work. Consider whether it’s cost-effective: Many tech companies don’t want or know how to manage large data input and analysis teams.
  6. 6. Business Process Outsourcing (BPO) Throw work over the proverbial wall. Works best for massive scale of processes that won’t change much over time. Agility and visibility can be limited. Use of technology and worker tech savvy may be limited.
  7. 7. Managed Cloud Labor Scale a process for routine, repetitive work that’s critical to your business. Helpful option when you need high accuracy, agility, and visibility to your team’s work. The best solutions use technology to track worker engagement and productivity. Smart choice for scaling products or processes rapidly.
  8. 8. Crowdsourcing Gather datasets for a one-time project for your business. Good choice if you need a large number of workers simultaneously. Workers are anonymous, so accuracy can suffer without reliable QA. Can be helpful when you’re testing ideas or have a short-term project that requires fast turnaround.
  9. 9. Best Practices for Choosing Your AI Workforce When you’re making a decision about the people who will process data that is critical to your business, be sure to consider these factors.
  10. 10. Accuracy Some tasks, such as annotation of video images for autonomous vehicles, require high accuracy. Consider how accuracy requirements could evolve over time. Ask workforce providers about their track records for delivering quality work. 1
  11. 11. Agility Most technical projects involve changes. Weigh the importance of your workforce provider’s flexibility and capacity to make incremental process improvements quickly and often, if necessary. 2
  12. 12. Managed workforce Managed teams that have training opportunities can deliver higher quality and productivity. Vetted workers with leadership in place have opportunities to improve their work over time. 3
  13. 13. Speed For ongoing projects, you’ll need to train workers at the outset and when the work changes, so figure that into your time commitment. Managed workforces can begin work quickly, especially when task guidelines are well defined. 4
  14. 14. Scalability Hiring and managing data workers is not easily scalable, especially if you are growing fast or have seasonal peaks and valleys that affect your task volume. Can your workforce provider scale quickly, and can it handle growing or waning demand for the tasks you want to outsource? 5
  15. 15. Technology Partner with workforce providers that understand, value, and infuse technology throughout their processes. This includes workforce management, communications, capacity planning, and analytics dashboards. Tech-savvy companies will better understand your data needs and workflow. 6
  16. 16. Cost structure Will you pay by task or by hour? Establish if there are additional fees for tooling, onboarding, training, or management for your workforce. Find out if you will pay the same or lower rates if your task volume increases. 7
  17. 17. Ask questions to ensure you have a complete understanding of your workforce partner’s approach. This will help you avoid surprises as the work gets underway.
  18. 18. About CloudFactory CloudFactory provides a tech-forward, professionally managed workforce solution with all the benefits of a trained internal team. And as an impact sourcing service provider (ISSP), we create economic and leadership opportunities for talented people in developing nations. Trusted by 100+ companies, CloudFactory processes millions of tasks a day for companies including Microsoft, Drive.ai, Expensify, Ibotta, and GM-Cruise Automation. www.cloudfactory.com hello@cloudfactory.com (888) 809-0229 CONTACT US

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