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Data mining for B2B churn and loyalty management in India and South Asia

TM Forum

Their results demonstrate that using CC and social features derived from interaction records and network structure yields substantially improved prediction in comparison to using conventional classification and user profile features only. What pages do they visit? See figure 1 below for B2B Telecoms and Media churn predictive modeling.

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Uncovering the power of top-notch LLMs

Dataconomy

Text-babbage-001 Best suited for moderate classification and semantic search classification tasks, Text-babbage-001, a GPT-3 language model, is known for its nimble response time and lower costs in comparison to other models.