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Content creators and organizations today face a persistent challenge: producing high-quality audio content at scale. Traditional podcast production requires significant time investment (research, scheduling, recording, editing) and substantial resources including studio space, equipment, and voice talent. These constraints limit how quickly organizations can respond to new topics or scale their content production. Amazon Nova 2 …

Building real-time conversational podcasts with Amazon Nova 2 Sonic Read More »

Building a text-to-SQL solution using Amazon Bedrock can alleviate one of the most persistent bottlenecks in data-driven organizations: the delay between asking a business question and getting a clear, data-backed answer. You might be familiar with the challenge of navigating competing priorities when your one-time question is waiting in the queue behind higher-impact work. A text-to-SQL …

Text-to-SQL solution powered by Amazon Bedrock Read More »

Enterprises often struggle to onboard new team members at scale. Human resources (HR) teams spend time on manual tasks that delay productivity, such as processing documents to answering repeated questions about benefits and policies. For organizations with many new hires, these steps make it harder to keep onboarding consistent and compliant. Organizations lose substantial amounts …

Build AI-powered employee onboarding agents with Amazon Quick Read More »

Agentic tool calling is what makes AI agents useful in production. It’s how they query databases, trigger workflows, retrieve real-time data, and act on a user’s behalf. But base models frequently hallucinate tools, pass bad parameters, and attempt actions when they should ask for clarification. These failures erode trust and block production deployment. You can …

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI Read More »

Agentic generative AI assistants represent a significant advancement in artificial intelligence, featuring dynamic systems powered by large language models (LLMs) that engage in open-ended dialogue and tackle complex tasks. Unlike basic chatbots, these implementations possess broad intelligence, maintaining multi-step conversations while adapting to user needs and executing necessary backend tasks. These systems retrieve business-specific data …

Building Intelligent Search with Amazon Bedrock and Amazon OpenSearch for hybrid RAG solutions Read More »

This post is co-written with Arad Ben Haim and Hannah Danan Moise from Windward. Windward is a leading Maritime AI company, delivering mission-grade, multi-source intelligence for maritime-based operations. By fusing Automatic Identification System (AIS) data, remote sensing signals, proprietary AI models, and generative AI, Windward provides a 360° view of global maritime activity so defense …

From isolated alerts to contextual intelligence: Agentic maritime anomaly analysis with generative AI Read More »

Amazon Bedrock AgentCore Gateway provides a centralized layer for managing how AI agents connect to tools and MCP servers across your organization. It consolidates authentication, observability, and policy enforcement into a single endpoint, removing the need to configure and secure each MCP server connection individually. In this post, we walk through how to configure AgentCore …

Connecting MCP servers to Amazon Bedrock AgentCore Gateway using Authorization Code flow Read More »

Evaluating single-turn agent interactions follows a pattern that most teams understand well. You provide an input, collect the output, and judge the result. Frameworks like Strands Evaluation SDK make this process systematic through evaluators that assess helpfulness, faithfulness, and tool usage. In a previous blog post, we covered how to build comprehensive evaluation suites for …

Simulate realistic users to evaluate multi-turn AI agents in Strands Evals Read More »

New AI capabilities are coming to Google Vids, powered by Lyria 3 and Veo 3.1, like high-quality video generation at no cost and more. ​ 

Google is introducing two new inference tiers to the Gemini API, Flex and Priority, to balance cost and latency. ​