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Using ANAI, citizen data scientists and other developers with limited macahine learning expertise can easily ingest data, generate insights and build/train ML models.
Provide additional insights into the underwriting process by extracting relevant data from customers’ social media, reviews, and other online activities to build more personalized policies for consumers based on their individual lifestyles.
Verify claims using an AI-based system for damage estimation by comparing images of similar damage in the past, checking for the authenticity and validity, and speeding up the reimbursement process.
Cut operation costs by 30% and help give around-the-clock customer service and assistance using AI-based customer helpdesk.
Detect customer churn early on by utilizing data on consumers and deploying various strategies beforehand to understand the customer needs and solve them.
ML models can amplify the biases already present within the data and lead to bad customer experiences if the bias is not detected early on.
Automated page speed optimizations for fast site performance