“Structuring a significant volume of unstructured learning-course data into a high-quality annotated dataset to train and fine-tune an AI model for KPI and skill-set classification.”
The world’s #1 CRM company. Their cloud-based software helps businesses connect with customers to find more prospects, close more deals, and deliver great service, serving over 1,50,000 companies worldwide.
The client needed to process a significant volume of unstructured learning-course data and automatically classify KPIs and skills. To achieve this, they required a high-quality annotated dataset that could effectively train and fine-tune an AI model for KPI and skill-set classification.
Team: Data Annotators/Data Analyst
Deliverables:
G Suite, Quip
Aligning KPIs and skills within the annotation process helped streamline and accelerate AI model training. Improving the accuracy of course information and associated URLs strengthened dataset reliability and ensured the model learned from accurate, validated sources. As a result, learners received more relevant course recommendations, since the model could now match content to aligned KPIs and skills.
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