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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. These environments often consist of multiple disconnected systems, each managing distinct functions policy administration, claims processing, billing and customer relationship management all generating exponentially growing data as businesses scale.

Insurance 165
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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

On the Review and create page, review the settings and choose Create Knowledge Base. Choose a commitment term (no commitment, 1 month, or 6 months) and review the associated cost for hosting the fine-tuned models. Choose Next.

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Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidat’s Enterprise Storage Solutions

Infinidat

The solutions that were developed, extended, and/or accelerated together with these award winners are among the most interesting and noteworthy IT solutions on the market today for high-end enterprises spanning cyber security, containerization, next-generation data protection, system integration, and virtualization.

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What is a managed service provider? Strategic outsourcing for IT services

CIO

Managed service provider business model Managed service providers structure their business to offer technology services cheaper than what it would cost an enterprise to perform the work itself, at a higher level of quality, and with more flexibility and scalability.

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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

Increased scalability and flexibility: As you accumulate more and more data, scalability becomes an increasingly important concern for analytics, especially to handle rapid usage spikes. The AWS Auto Scaling feature lets you define rules to automatically adjust your capacity, so the system never goes down due to heavy demand.

AWS 98
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Deletion Vectors in Delta Live Tables: Identifying and Remediating Compliance Risks

Perficient

Deletion Vectors in Delta Live Tables offer an efficient and scalable way to handle record deletion without requiring expensive file rewrites. Physically removing rows can cause performance degradation due to file rewrites and metadata operations. What Are Deletion Vectors?