Case Study: How CloudHire Boosted CXONexus' AI Accuracy from 87% to 95% with Human Curation
CXONexus, a company applying AI and Machine Learning to vendor spend data, found data inconsistencies and inaccuracies hindered their initial AI model accuracy. Seeking a human touch to refine their data pool, they turned to CloudHire, a remote staffing company specializing in sourcing top-tier global remote talent for their clients.
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CXONexus' AI model struggled with a % data accuracy of 87%, limiting its effectiveness in accurately classifying, standardizing, and normalizing vendor spending data. This hampered their ability to provide crucial insights for optimized negotiation, vendor relationship management, and C-suite collaboration.
In January 2023, CXONexus partnered with CloudHire to build a dedicated team of expert curators. Initially hiring two curators, the team has grown to eight, highlighting their satisfaction with CloudHire's service.
With CloudHire's curators meticulously cleaning and enriching data, CXONexus witnessed a remarkable transformation:
Within months, data accuracy soared to 95%, representing a significant 8% improvement. This directly translated to higher quality data feeding their AI model, leading to:
- ○ Enhanced LLM Accuracy: Improved data quality directly boosted the accuracy of the underlying Large Language Models (LLMs) used by CXONexus. This translates to more reliable insights and actionable intelligence for their business.
- ○ Reduced Costs and Improved Vendor Management: With cleaner and more accurate data, CXONexus gained deeper insights into vendor relationships, enabling it to optimize negotiations, reduce procurement costs, and manage vendor relationships more effectively.
Several factors contributed to CXO's success:
By leveraging their expertise in the Indian talent market, CloudHire sourced exceptionally skilled curators with backgrounds working for giants like Amazon and Meta. These experienced professionals brought a wealth of knowledge and a proven track record of data manipulation excellence.
Beyond technical skills, CloudHire prioritizes matching curators with their client's company culture. This ensures seamless integration and minimizes friction, leading to happier, more productive teams.
CloudHire boasts a remarkable 94% retention rate over the past three years. This is achieved through competitive salaries, comprehensive benefits, and a commitment to a positive work environment, ensuring consistent quality and expertise.
Compared to traditional curation services and onshore hiring, CloudHire offers significant cost savings, with their rates ranging from $1400-$1650 per full-time curator. This translates to 50-70% cost reduction without compromising quality.
By partnering with CloudHire, CXONexus achieved an 8% increase in data accuracy and gained access to a dedicated team of highly skilled and motivated curators, all at a highly competitive price. This success story exemplifies CloudHire's value proposition: providing AI companies with top-tier human talent that optimizes data quality, fuels AI model accuracy, and drives business value. Not only does CXO have a team of in-house curators now, but also hires data scientists, database architects, developers, and more after falling in love with the quality of talent we provide.
CloudHire is confident in its ability to replicate these results for your comapny. To prove the valueproposition, we propose a two-week free trial where we will provide a team of skilled curators to work on your specific data challenges. In return, we ask for data insights and results to createa case study showcasing the impact of human curation on your AI model accuracy in theprospecting niche. Take the next step to unlock the full potential of your AI models. Contact CloudHire today to discuss how our project collaboration can accelerate your journey toward data-driven success.
Barrington Young, Ph.D., Chief Data Officer, CXO Nexus, Inc.
