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Insurance

Smarter Lead Generation Using Machine Learning

Smarter Lead Generation Using Machine Learning

Claim Fraud Detection and Prevention Using Machine Learning & NLP

Claim Fraud Detection and Prevention Using Machine Learning & NLP

AI Assisted Claims Processing

AI Assisted Claims Processing

AI Powered Insurance Underwriting

AI Powered Insurance Underwriting

Personalized Recommendation Systems Using Machine Learning

Personalized Recommendation Systems Using Machine Learning

Customer Churn Prediction & Prevention Using Machine Learning

Customer Churn Prediction & Prevention Using Machine Learning

AI for analyzing car accident damage and processing of insurance claims

AI for analyzing car accident damage and processing of insurance claims

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Advanced AI-Driven Back-Office Process Automation

The Problem Every organization has back-office operations that have to be dealt with a day-to-day basis. These tasks may include: accounting, payroll, purchase order processing, data entry,...

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Analytics Driven Decision Making

The Problem Organizations have large volumes of data related to different aspects regarding their business coming in from multiple sources. It is impossible for humans to process...

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Smarter Lead Generation Using Machine Learning

The Problem Lead generation can be quite complex for organizations. Organizations run marketing campaigns, host events, and try to engage with potential customers across digital channels for...

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Claim Fraud Detection and Prevention Using Machine Learning & NLP

The Problem Claim fraud costs insurance companies billions of dollars each year. It is not easy to detect claim fraud, which is a labour-intensive task and requires...

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AI Assisted Claims Processing

The Problem Insurance companies are now offering new ways of submitting claims via multiple channels including web portals and mobile apps. However, processing these claims requires...

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AI Powered Insurance Underwriting

The Problem Insurance companies have spent substantial amounts of money to digitize the process of customer onboarding and policy binding. However, progress has been slow and incremental...

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Rapid Document Digitization with NLP

The Problem To be able to derive analytics from data it is first required to collect and organize data in a digital format. Doing this task manually...

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Personalized Recommendation Systems Using Machine Learning

The Problem Insurance customers have different lifestyles, needs and preferences. Promoting the same policies across all customer segments is not going to yield good results. Customers expect...

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Customer Churn Prediction & Prevention Using Machine Learning

The Problem According to reports, cost of acquiring new customers is considerably higher than retaining existing customers. Churn also equates to lost revenue. Even a 1% churn...

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AI for analyzing car accident damage and processing of insurance claims

The Problem A report by McKinsey states that 5-10% of insurance claims are considered fraudulent, costing US insurers more than USD 40 billion every year. Insurance companies...

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