Advanced (300)

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End-to-End model training and deployment with Amazon SageMaker Unified Studio

Advanced (300), AIML, Amazon SageMaker, Amazon SageMaker Unified Studio, Foundation models, Generative AI, Technical How-to /

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. These hurdles include managing complex workflows, efficiently preparing large datasets for fine-tuning, implementing sophisticated fine-tuning techniques while optimizing computational resources, consistently tracking model performance, and achieving reliable, scalable deployment.The fragmented nature of […]

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Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

Advanced (300), AI/ML, Amazon Bedrock Knowledge Bases, Amazon Redshift, AWS Glue, Generative AI, Technical How-to /

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries, creating workflow bottlenecks. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources.

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Innovate business logic by implementing return of control in Amazon Bedrock Agents

Advanced (300), Amazon SageMaker, Artificial Intelligence, Learning Levels /

In the context of distributed systems and microservices architecture, orchestrating communication between diverse components presents significant challenges. However, with the launch of Amazon Bedrock Agents, the landscape is evolving, offering a simplified approach to agent creation and seamless integration of the return of control capability. In this post, we explore how Amazon Bedrock Agents revolutionizes

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How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Amazon Textract, Customer Solutions, Intermediate (200), Sustainability, Technical How-to /

This post was co-written with Federico Thibaud, Neil Holloway, Fraser Price, Christian Dunn, and Frederica Schrager from Gardenia Technologies “What gets measured gets managed” has become a guiding principle for organizations worldwide as they begin their sustainability and environmental, social, and governance (ESG) journeys. Companies are establishing baselines to track their progress, supported by an expanding framework of reporting standards,

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Fast-track SOP processing using Amazon Bedrock

Advanced (300), AI/ML, Amazon Bedrock, Amazon Simple Storage Service (S3), AWS Customer, AWS Deep Learning, Case Study, Foundation models, Generative AI, HCLS, Healthcare, Life Sciences, Public Sector, Technical How-to /

Standard operating procedures (SOPs) are essential documents in the context of regulations and compliance. SOPs outline specific steps for various processes, making sure practices are consistent, efficient, and compliant with regulatory standards. SOP documents typically include key sections such as the title, scope, purpose, responsibilities, procedures, documentation, citations (references), and a detailed approval and revision

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Revolutionizing earth observation with geospatial foundation models on AWS

Advanced (300), Amazon OpenSearch Service, Amazon SageMaker, Amazon SageMaker AI, Foundation models, Geospatial ML with Amazon SageMaker, Technical How-to /

Emerging transformer-based vision models for geospatial data—also called geospatial foundation models (GeoFMs)—offer a new and powerful technology for mapping the earth’s surface at a continental scale, providing stakeholders with the tooling to detect and monitor surface-level ecosystem conditions such as forest degradation, natural disaster impact, crop yield, and many others. GeoFMs represent an emerging research

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Create an agentic RAG application for advanced knowledge discovery with LlamaIndex, and Mistral in Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon Bedrock Knowledge Bases, Technical How-to /

Agentic Retrieval Augmented Generation (RAG) applications represent an advanced approach in AI that integrates foundation models (FMs) with external knowledge retrieval and autonomous agent capabilities. These systems dynamically access and process information, break down complex tasks, use external tools, apply reasoning, and adapt to various contexts. They go beyond simple question answering by performing multi-step

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Part 3: Building an AI-powered assistant for investment research with multi-agent collaboration in Amazon Bedrock and Amazon Bedrock Data Automation

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Financial Services /

In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow inefficiencies. Add on top of this the intense time pressure resulting

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A generative AI prototype with Amazon Bedrock transforms life sciences and the genome analysis process

Advanced (300), AIML, Amazon API Gateway, Amazon Athena, Amazon Bedrock, Amazon DynamoDB, Amazon Simple Storage Service (S3), AWS Amplify, AWS AppSync, AWS Lambda, Customer Enablement, Customer Solutions, Generative AI, HCLS, How-To, Life Sciences, Machine Learning, Natural Language Processing, Technical How-to /

It takes biopharma companies over 10 years, at a cost of over $2 billion and with a failure rate of over 90%, to deliver a new drug to patients. The Market to Molecule (M2M) value stream process, which biopharma companies must apply to bring new drugs to patients, is resource-intensive, lengthy, and highly risky. Nine

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Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Advanced (300), AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Generative AI, Technical How-to /

Enterprises—especially in the insurance industry—face increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. These might include claims document packages, crash event videos, chat transcripts, or policy documents. All contain critical information across the claims processing lifecycle. Traditional data preprocessing methods, though functional, might

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