• Machine-learning insights to support customer segmentation
• Automated product recommendations
& natural language question answering
• Automated creation of targeted marketing materials & promotions
• Customer personality & tone analysis
• Personality analysis from
text to match customers with brokers
• Extraction of insights from multiple data sources (including unstructured)
• Automated demand analysis & generation of new product offerings
• Natural language question answering for employees
• Enhanced pricing & policy rating personalization & accuracy
• RPA for efficiency & better customer experienced
• Sentiment analysis in social media
• Augmentation of investment decisions with machine learning insights
• Provision of new insights for asset liability management
• Processing of unstructured data, augmentation of analytics capability
• Real-time Q&A service for FNOL
• Pre-assessment of claims & automated damage evaluation
• RPA to automate claims processing
• Automated claims fraud detection using enriched unstructured data analytics
• Prediction of claim volume patterns
• Augmentation of loss analysis with machine learning insights
• Automation of call center & webchat service
• Assistance for self-service queries on policy issuance, endorsements, cancellations & renewals
• Contextual analytics & skill ontology to score CVs against job descriptions
• Prediction of likelihood candidate will get through selection process
• Prediction of candidates based on hireability metrics
Insurance company in Turkey saves $5 million USD using Fraud Detection Software
Largest financial services company in South Africa uses ML to detect and prevent cyber threats in real-time
Japan-based financial services company eliminates 90% of manual data entry process
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