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EXL’s Insurance LLM transforms claims and underwriting

CIO

As insurance companies embrace generative AI (genAI) to address longstanding operational inefficiencies, theyre discovering that general-purpose large language models (LLMs) often fall short in solving their unique challenges. Claims adjudication, for example, is an intensive manual process that bogs down insurers.

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Why thinking like a tech company is essential for your business’s survival

CIO

For us, that means remembering our core mission: providing risk management and insurance solutions to our customers in a way that helps them protect their businesses and families. Thats the mindset we need to bring into every business, whether were selling insurance, financial services, or something else entirely.

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

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Unlocking the full potential of enterprise AI

CIO

With AI now incorporated into this trail, automation can ensure compliance, trust and accuracy critical factors in any industry, but especially those working with highly sensitive data. Without the necessary guardrails and governance, AI can be harmful. AI in action The benefits of this approach are clear to see.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

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3 keys to defining data sovereignty: Security, privacy, and portability

CIO

With increasing data privacy and security regulations, geopolitical factors, and customer demands for transparency, customers are seeking to maintain control over their data and ensure compliance with national or regional laws. Privacy: Ensuring Compliance and Trust Data privacy regulations are growing more stringent globally.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning - AI

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. It adheres to enterprise-grade security and compliance standards, enabling you to deploy AI solutions with confidence.

Data 101