Generative AI has been moving at a rapid pace, with new tools, offerings, and models released frequently. According to Gartner, agentic AI is one of the top technology trends of 2025, and organizations are performing prototypes on how to use agents in their enterprise environment. Agents depend on tools, and each tool might have its …
Organizations want direct answers to their business questions without the complexity of writing SQL queries or navigating through business intelligence (BI) dashboards to extract data from structured data stores. Examples of structured data include tables, databases, and data warehouses that conform to a predefined schema. Large language model (LLM)-powered natural language query systems transform how …
Choosing the right approach for generative AI-powered structured data retrieval Read More »
In the pharmaceutical industry, biotechnology and healthcare companies face an unprecedented challenge for efficiently managing and analyzing vast amounts of drug-related data from diverse sources. Traditional data analysis methods prove inadequate for processing complex medical documentation that includes a mix of text, images, graphs, and tables. Amazon Bedrock offers features like multimodal retrieval, advanced chunking …
Revolutionizing drug data analysis using Amazon Bedrock multimodal RAG capabilities Read More »
In Moving Archives, we’re bringing the iconic Harley-Davidson Museum archives to life with the help of Veo and Gemini.
At just 13 years old, Dylan became the youngest security researcher to collaborate with the Microsoft Security Response Center (MSRC). His journey into cybersecurity is inspiring—rooted in curiosity, resilience, and a deep desire to make a difference. Early beginnings: From scratch to security Dylan’s fascination with technology began early. Like many kids, he started with …
Rising star: Meet Dylan, MSRC’s youngest security researcher Read More »
Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution of generative AI applications, many use …
To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant gaps in organizational knowledge bases, leading …
Context extraction from image files in Amazon Q Business using LLMs Read More »
Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as essential communication tools for stakeholders, documentation of compliance requirements, and blueprints for implementation teams. However, traditional diagramming approaches present several challenges: Time-consuming process – Creating detailed architecture diagrams manually can take hours or even days …
Build AWS architecture diagrams using Amazon Q CLI and MCP Read More »
Learn more about expanded access to Google Vids for all education users, and Gemini in Classroom, a new suite of no-cost AI tools available for educators.
Managing and optimizing AWS infrastructure costs is a critical challenge for organizations of all sizes. Traditional cost analysis approaches often involve the following: Complex spreadsheets – Creating and maintaining detailed cost models, which requires significant effort Multiple tools – Switching between the AWS Pricing Calculator, AWS Cost Explorer, and third-party tools Specialized knowledge – Understanding …
AWS costs estimation using Amazon Q CLI and AWS Cost Analysis MCP Read More »
