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Can serverless fix fintech’s scaling problem?

CIO

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. For instance: Regulatory compliance, security and data privacy.

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

It has become a strategic cornerstone for shaping innovation, efficiency and compliance. From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability.

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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

Limited scalability – As the volume of requests increased, the CCoE team couldn’t disseminate updated directives quickly enough. Oleg Chugaev is a Principal Solutions Architect and Serverless evangelist with 20+ years in IT, holding multiple AWS certifications. Steven has been AWS Professionally certified for over 8 years.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. This scalability allows for more frequent and comprehensive reviews.

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FloQast builds an AI-powered accounting transformation solution with Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning - AI

At scale, upholding the accuracy of each financial event and maintaining compliance becomes a monumental challenge. As businesses expand, they encounter a vast array of transactions that require meticulous documentation, categorization, and reconciliation. The following diagram illustrates the architecture using AWS services.

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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

This integration not only improves security by ensuring that secrets in code or configuration files are never exposed but also improves compliance with regulatory standards. Compliance : For companies in regulated industries, managing secrets securely is essential to comply with standards such as GDPR, HIPAA, and SOC 2.

Azure 91
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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability.