Intermediate (200)

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Enhance Geospatial Analysis and GIS Workflows with Amazon Bedrock Capabilities

Amazon Bedrock, Artificial Intelligence, Intermediate (200) /

As data becomes more abundant and information systems grow in complexity, stakeholders need solutions that reveal quality insights. Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In this post, we explore how you […]

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Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Generative AI, Intermediate (200) /

To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores, prompt templates, and other agents. As organizations scale their AI initiatives, they face an exponentially growing challenge of connecting each agent to multiple tools, creating an M×N integration problem that significantly slows development and increases complexity. Although protocols such as

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Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs

Amazon Elastic Kubernetes Service, Amazon OpenSearch Service, Generative AI, Intermediate (200), Technical How-to /

Chat-based assistants powered by Retrieval Augmented Generation (RAG) are transforming customer support, internal help desks, and enterprise search, by delivering fast, accurate answers grounded in your own data. With RAG, you can use a ready-to-deploy foundation model (FM) and enrich it with your own data, making responses relevant and context-aware without the need for fine-tuning

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Citations with Amazon Nova understanding models

Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, Intermediate (200) /

Large language models (LLMs) have become increasingly prevalent across both consumer and enterprise applications. However, their tendency to “hallucinate” information and deliver incorrect answers with seeming confidence has created a trust problem. Think of LLMs as you would a human expert: we typically trust experts who can back up their claims with references and walk

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How Indegene’s AI-powered social intelligence for life sciences turns social media conversations into insights

AI/ML, Amazon Bedrock, Amazon SageMaker AI, Analytics, Artificial Intelligence, Customer Solutions, Generative AI, Healthcare, Intermediate (200), Life Sciences /

This post is co-written with Rudra Kannemadugu and Shravan K S from Indegene Limited. In today’s digital-first world, healthcare conversations are increasingly happening online. Yet the life sciences industry has struggled to keep pace with this shift, facing challenges in effectively analyzing and deriving insights from complex medical discussions on a scale. This post will

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Unlocking enhanced legal document review with Lexbe and Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Intermediate (200) /

This post is co-authored with Karsten Weber and Rosary Wang from Lexbe. Legal professionals are frequently tasked with sifting through vast volumes of documents to identify critical evidence for litigation. This process can be time-consuming, prone to human error, and expensive—especially when tight deadlines loom. Lexbe, a leader in legal document review software, confronted these

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Demystifying Amazon Bedrock Pricing for a Chatbot Assistant

Amazon Bedrock, Cloud Cost Optimization, Foundational (100), Generative AI, Intermediate (200), Thought Leadership /

“How much will it cost to run our chatbot on Amazon Bedrock?” This is one of the most frequent questions we hear from customers exploring AI solutions. And it’s no wonder — calculating costs for AI applications can feel like navigating a complex maze of tokens, embeddings, and various pricing models. Whether you’re a solution

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Automate enterprise workflows by integrating Salesforce Agentforce with Amazon Bedrock Agents

Amazon Bedrock Agents, Artificial Intelligence, AWS Partner Network, Intermediate (200), Partner solutions, Technical How-to /

AI agents are rapidly transforming enterprise operations. Although a single agent can perform specific tasks effectively, complex business processes often span multiple systems, requiring data retrieval, analysis, decision-making, and action execution across different systems. With multi-agent collaboration, specialized AI agents can work together to automate intricate workflows. This post explores a practical collaboration, integrating Salesforce

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Responsible AI for the payments industry – Part 1

Best Practices, Financial Services, Intermediate (200), Responsible AI /

The payments industry stands at the forefront of digital transformation, with artificial intelligence (AI) rapidly becoming a cornerstone technology that powers a variety of solutions, from fraud detection to customer service. According to the following Number Analytics report, digital payment transactions are projected to exceed $15 trillion globally by 2027. Generative AI has expanded the

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Responsible AI for the payments industry – Part 2

Best Practices, Financial Services, Industries, Intermediate (200), Responsible AI /

In Part 1 of our series, we explored the foundational concepts of responsible AI in the payments industry. In this post, we discuss the practical implementation of responsible AI frameworks. The need for responsible AI The implementation of responsible AI is not passive, but a dynamic process of reimagining how technology can serve a customer’s

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