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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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Machine Learning: Unlocking the Next for Insurers

Coforge

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How digital turned Nationale-Nederlanden into an omnichannel company

CIO

Dutch insurance and asset management company Nationale-Nederlanden, part of the NN Group, has a presence in 19 countries and serves several million retail and corporate customers. Digitization vs tradition Although the insurance sector has a traditional image, that stopped being the case years ago, says Vaquero.

Company 321
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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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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 Hyperautomation Can Transform Claims Processing and Customer Service in Insurance?

Trigent

The insurance sector has been one of the early adopters of advanced technologies such as artificial intelligence (AI), robotic process automation (RPA), and machine learning (ML) which played a pivotal role in managing complex tasks during the pandemic. The answer lies in hyperautomation!

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Cybersecurity Snapshot: NIST Unpacks Cyberattacks Against AI Systems, as FBI Strikes ALPHV/Blackcat Ransomware Gang

Tenable

Want to learn more about protecting AI systems from malicious actors? 1 - NIST categorizes cyberattacks against AI systems Are you involved with securing the artificial intelligence (AI) tools and systems your organization uses? A new NIST guide aims to help you identify and mitigate attacks targeting AI tools.