April 2025

Build public-facing generative AI applications using Amazon Q Business for anonymous users

Amazon Q, Amazon Q Business, Launch /

Amazon Q Business is a generative AI-powered assistant that answers question, provides summaries, generates content, and securely completes tasks based on enterprise data and information. It connects to company data sources, applications, and internal systems to provide relevant, contextual answers while maintaining organizational security and compliance standards. Today, we’re excited to announce that Amazon Q […]

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

Amazon Bedrock, Amazon Bedrock Agents, Customer Solutions, Generative AI /

With the advent of generative AI solutions, a paradigm shift is underway across industries, driven by organizations embracing foundation models (FMs) to unlock unprecedented opportunities. Amazon Bedrock has emerged as the preferred choice for numerous customers seeking to innovate and launch generative AI applications, leading to an exponential surge in demand for model inference capabilities.

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Insights in implementing production-ready solutions with generative AI

Artificial Intelligence, AWS Well-Architected Framework, Best Practices, Customer Solutions, Experience-Based Acceleration, Generative AI, Thought Leadership /

As generative AI revolutionizes industries, organizations are eager to harness its potential. However, the journey from production-ready solutions to full-scale implementation can present distinct operational and technical considerations. This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

Advanced (300), AI/ML, AIML, Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker Data & AI Governance, Generative AI, Responsible AI /

Generative AI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. However, amidst the excitement, critical questions around the responsible use and implementation of such powerful technology have started to emerge. Although responsible AI has been a key focus for the industry over

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InterVision accelerates AI development using AWS LLM League and Amazon SageMaker AI

Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Amazon SageMaker JumpStart, Amazon SageMaker Studio, Foundational (100), Partner solutions, Technical How-to, Thought Leadership /

Cities and local governments are continuously seeking ways to enhance their non-emergency services, recognizing that intelligent, scalable contact center solutions play a crucial role in improving citizen experiences. InterVision Systems, LLC (InterVision), an AWS Premier Tier Services Partner and Amazon Connect Service Delivery Partner, has been at the forefront of this transformation, with their contact

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Improve Amazon Nova migration performance with data-aware prompt optimization

Amazon Bedrock, Amazon Nova, Generative AI, Thought Leadership /

In the era of generative AI, new large language models (LLMs) are continually emerging, each with unique capabilities, architectures, and optimizations. Among these, Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading cost-performance, available exclusively on Amazon Bedrock. Since its launch in 2024, generative AI practitioners, including the teams in Amazon, have started transitioning

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Customize Amazon Nova models to improve tool usage

Amazon Bedrock, Amazon Nova, Fine Tuning, Generative AI, Technical How-to /

Modern large language models (LLMs) excel in language processing but are limited by their static training data. However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. This has led to the evolution and rapid rise of agentic workflows, where AI systems autonomously plan, execute, and refine tasks. Accurate

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Evaluate Amazon Bedrock Agents with Ragas and LLM-as-a-judge

Advanced (300), Amazon Bedrock Agents, Technical How-to, Thought Leadership /

AI agents are quickly becoming an integral part of customer workflows across industries by automating complex tasks, enhancing decision-making, and streamlining operations. However, the adoption of AI agents in production systems requires scalable evaluation pipelines. Robust agent evaluation enables you to gauge how well an agent is performing certain actions and gain key insights into

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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Amazon Bedrock, Artificial Intelligence, Generative AI, Technical How-to /

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora, Oracle, and Teradata), with each managing hundreds or perhaps thousands

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AWS Field Experience reduced cost and delivered low latency and high performance with Amazon Nova Lite foundation model

Amazon Bedrock, Amazon Nova, Customer Solutions, Foundation models, Generative AI /

AWS Field Experience (AFX) empowers Amazon Web Services (AWS) sales teams with generative AI solutions built on Amazon Bedrock, improving how AWS sellers and customers interact. The AFX team uses AI to automate tasks and provide intelligent insights and recommendations, streamlining workflows for both customer-facing roles and internal support functions. Their approach emphasizes operational efficiency

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