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EvolutionIQ secures $21M to streamline insurance claims processing with AI

TechCrunch

Processing claims at scale presents a challenge for insurers, particularly where the claims entail factors like complex underlying health conditions. A growing cohort of startups including Alan, Tractable and Snapsheet offer tools to help customers navigate through the insurance claims process. ” Accelerating insurance claims.

Insurance 233
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Resistant AI scores $16.6M for its anti-fraud fintech tools

TechCrunch

Resistant AI , which uses artificial intelligence to help financial services companies combat fraud and financial crime — selling tools to protect credit risk scoring models, payment systems, customer onboarding and more — has closed $16.6 million in Series A funding.

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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How Machine Learning is Used in Finance and Banking

Exadel

Sophisticated, intelligent security systems and streamlined customer services are keys to business success. The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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DeepSee.ai raises $22.6M Series A for its AI-centric process automation platform

TechCrunch

I describe its system as ‘knowledge process automation’ (KPA). The company itself defines this as a system that “mines unstructured data, operationalizes AI-powered insights, and automates results into real-time action for the enterprise.” argues that what it does is different. offers three core tools.

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

The insurance industry is notoriously bad at customer experience. In the last few years, Chinese tech giants have been making massive strides at becoming the center of insurance innovation. To compete, insurance companies revolutionize the industry using AI, IoT, and big data. Not in China though. Why automate claims?