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The Pragmatic Approach to Artificial Intelligence Adoption by Leveraging Crowdsourced Workforce: A Digital Commerce Case Study

The Pragmatic Approach to Artificial Intelligence Adoption by Leveraging Crowdsourced Workforce: A Digital Commerce Case Study

This IDC Buyer Case Study looks at the innovative blend of artificial intelligence (AI) and crowdsourced workforce to help online businesses automate labor-intensive data workflows, thereby enabling organizations to optimize cost and scale information-rich operations while maintaining data quality. We learned about Snapdeal, which partners with Squad, an India-based AI-powered distributed workforce platform for business processes; Snapdeal leveraged Squad's AI automation and distributed workforce to support complex data workflows, including content and review moderation, data enrichment and labeling, and product curation and recommendation. Driven by organizations' digital transformation efforts in Asia/Pacific (excluding Japan) (APEJ), IDC foresees increasing demand for big data analytics and AI solutions. This case study highlights a pragmatic solution of combining people, AI technology, and workflow orchestration, that offers technology buyers a viable approach towards AI adoption.

Please Note: Extended description available upon request.


IDC Opinion
In This Buyer Case Study
Situation Overview
Challenges and Solution
Challenges
Solution: Integrating Artificial Intelligence, Workflow Orchestration, and Crowdsourced Workforce
Results
Benefits
Lessons Learned
Future Outlook
Essential Guidance
Actions to Consider
Advice for Buyers
Advice for Other Vendors
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