Organizations have used geospatial machine learning (ML) for property risk assessment, disaster response, and infrastructure planning. These systems worked well but couldn’t scale beyond specialized use cases. Each question required multiple geospatial datasets, each with its own model and often its own workflow, limiting these capabilities to a handful of high-value use cases at the … Read more
This post is co-written with Rejin Surendran from Wipro Enterprises Limited and Bakrudeen K from ShellKode. In manufacturing environments, industrial automation engineers face a significant challenge: how to rapidly convert complex process requirements into Programmable Logic Controller (PLC) ladder text code. This traditional, manual process typically requires 3-4 days per query, creating bottlenecks in production … Read more
This post is co-written with Hossein Salami and Jwalant Vyas from MSD. In the biopharmaceutical industry, deviations in the manufacturing process are rigorously addressed. Each deviation is thoroughly documented, and its various aspects and potential impacts are closely examined to help ensure drug product quality, patient safety, and compliance. For leading pharmaceutical companies, managing these … Read more
Genomic research stands at a transformative crossroads where the exponential growth of sequencing data demands equally sophisticated analytical capabilities. According to the 1000 Genomes Project, a typical human genome differs from the reference at 4.1–5.0 million sites, with most variants being SNPs and short indels. These variants, when aggregated across individuals, contribute to differences in … Read more
Our team at Amazon builds Rufus, an AI-powered shopping assistant which delivers intelligent, conversational experiences to delight our customers. More than 250 million customers have used Rufus this year. Monthly users are up 140% YoY and interactions are up 210% YoY. Additionally, customers that use Rufus during a shopping journey are 60% more likely to … Read more
This post is co-written with Michelle Tat, Christopher Penrose, Rasmus Buchmann, and Daniel Hansen from Care Access. Organizations operating in the healthcare industry face a critical challenge as they process large volumes of medical records and face a critical challenge: how to efficiently analyze thousands of medical records daily while maintaining strict security and compliance … Read more
Claude Code is an AI-powered coding assistant from Anthropic that helps developers write, review, and modify code through natural language interactions. Amazon Bedrock is a fully managed service that provides access to foundation models from leading AI companies through a single API. This post shows you how to deploy Claude Code with Amazon Bedrock. You’ll … Read more
Amazon Bedrock Guardrails now supports protection against undesirable content within code elements including user prompts, comments, variables, function names, and string literals. Amazon Bedrock Guardrails provides configurable safeguards for building generative AI applications at scale. These safety controls work seamlessly whether you’re using foundation models from Amazon Bedrock, or applying them at various intervention points … Read more
As AI applications grow more complex, many builders struggle to appropriately and responsibly balance AI benefits and risks. Few resources exist that help non-experts articulate and resolve the key design decisions they must make. However, it doesn’t have to be this way. Today, we’re announcing the AWS Well-Architected Responsible AI Lens—a set of thoughtful questions … Read more
At Amazon, we screen customers and transactions across our global business and its subsidiaries to comply with sanctions and other global laws. Failure to comply with these laws can result in severe financial penalties and reputational harm. Amazon’s Compliance team has developed an AI-driven screening and investigations system that has transformed Amazon’s compliance processes into … Read more
This post was written with Bharath Suresh and Mary Law from Snowflake. Agentic AI is a type of AI that functions autonomously, automating a broader range of tasks with minimal supervision. It combines traditional AI and generative AI capabilities to make decisions, perform tasks, and adapt to its environment without constant human intervention. These autonomous … Read more
Optimizing generative AI applications relies on tailoring foundation models (FMs) using techniques such as prompt engineering, RAG, continued pre-training, and fine-tuning. Efficient fine-tuning is achieved by strategically managing hardware, training time, data volume, and model quality to reduce resource demands and maximize value. Spectrum is a new approach designed to pinpoint the most informative layers … Read more
Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative AI to the physical world by applying it to robotics and physical hardware. Inspired by this, we developed a game for the AWS re:Invent 2024 … Read more
Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs). As AI moves towards deployment adopting to a multitude of domains and use cases, the need for security … Read more
Over the past two years, I’ve worked with many customers using generative AI to transform their organizations. Most stall at experimentation, because costs stack up and timelines extend before delivering demonstrable value. A 2023 AWS MIT Chief Data Officer (CDO) Symposium survey backs this up, reporting that while 71% of Chief Data Officers were experimenting … Read more
What if you could answer complex business questions in minutes instead of weeks, automate workflows without writing code, and empower every employee with enterprise AI—all while maintaining security and governance? That’s the power of Amazon Quick Suite, and at AWS re:Invent 2025, we are showcasing how organizations are making it a reality. Launched in October … Read more
AWS Professional Services set out to help organizations accelerate their cloud adoption with expert guidance and proven methodologies. Today, we’re at a pivotal moment in consulting. Just as cloud computing transformed how enterprises build technology, agentic AI is transforming how consulting services deliver value. We believe in a future where intelligent agents work alongside expert … Read more
The enterprise AI conversation has fundamentally shifted. We’re no longer asking “Can AI understand language?” but rather “Can AI autonomously execute complex business processes that drive real value?” According to McKinsey research, agentic AI has the potential to generate $450 billion to $650 billion in additional annual revenue by 2030, representing a 5 to 10 … Read more
This post is co-authored with the Biomni group from Stanford. Biomedical researchers spend approximately 90% of their time manually processing massive volumes of scattered information. This is evidenced by Genentech’s challenge of processing 38 million biomedical publications in PubMed, public repositories like the Human Protein Atlas, and their internal repository of hundreds of millions of … Read more
Graphical user interfaces have carried the torch for decades, but today’s users increasingly expect to talk to their applications. Amazon Nova Sonic is a state-of-the-art foundation model from Amazon Bedrock, that helps enable this shift by providing natural, low-latency, bidirectional speech conversations over a simple streaming API. Users can collaborate with the applications through voice … Read more
This post is co-written with David Gildea and Tom Nijs from Druva. Generative AI is transforming the way businesses interact with their customers and revolutionizing conversational interfaces for complex IT operations. Druva, a leading provider of data security solutions, is at the forefront of this transformation. In collaboration with Amazon Web Services (AWS), Druva is … Read more
We recently announced the support for Agent-to-Agent (A2A) protocol on Amazon Bedrock AgentCore Runtime. With this addition, agents can discover peers, share capabilities, and coordinate actions across platforms using standardized communication. Amazon Bedrock AgentCore Runtime provides a secure, serverless environment designed for deploying AI agents and tools. It works with any framework and model, supports … Read more
The Cohere Embed 4 multimodal embeddings model is now available as a fully managed, serverless option in Amazon Bedrock. Users can choose between cross-Region inference (CRIS) or Global cross-Region inference to manage unplanned traffic bursts by utilizing compute resources across different AWS Regions. Real-time information requests and time zone concentrations are example events that can cause … Read more
Healthcare and life sciences organizations are transforming drug discovery, medical devices, and patient care with generative AI agents. In regulated industries, any system that impacts product quality or patient safety must comply with GxP (Good Practice) regulations, such as Good Clinical Practice (GxP), Good Laboratory Practice (GLP), Good Manufacturing Practice (GMP). Organizations must demonstrate to … Read more
Multi-agent generative AI systems use multiple specialized AI agents working together to handle complex, multi-faceted tasks that exceed the capabilities of any single model. By combining agents with different skills or modalities (for example, language, vision, audio, video), these systems can tackle tasks in parallel or sequence, yielding more robust results. Recent research shows that … Read more
Extracting structured data from documents like invoices, receipts, and forms is a persistent business challenge. Variations in format, layout, language, and vendor make standardization difficult, and manual data entry is slow, error-prone, and unscalable. Traditional optical character recognition (OCR) and rule-based systems often fall short in handling this complexity. For instance, a regional bank might … Read more
Clinical outcome assessment (COA) interviews are important instruments in clinical trials for evaluating the efficacy and safety of treatments. In studies of psychosis, anxiety, and mood disorders, these assessments often determine the success or failure of the trial, highlighting the importance of data quality and reliability. The traditional approach to evaluating the quality of these … Read more
Organizations need seamless access to their structured data repositories to power intelligent AI agents. However, when these resources span multiple AWS accounts integration challenges can arise. This post explores a practical solution for connecting Amazon Bedrock agents to knowledge bases in Amazon Redshift clusters residing in different AWS accounts. The challenge Organizations that build AI … Read more
This post is cowritten by Laura Skylaki, Vaibhav Goswami, Ramdev Wudali and Sahar El Khoury from Thomson Reuters. Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering trusted content and workflow automation solutions. With over 150 years of expertise, TR provides essential solutions across legal, tax, accounting, risk, trade, and media … Read more
With Amazon Bedrock Custom Model Import, you can deploy and scale fine-tuned or proprietary foundation models in a fully managed, serverless environment. You can bring your own models into Amazon Bedrock, scale them securely without managing infrastructure, and integrate them with other Amazon Bedrock capabilities. Today, we are excited to announce the addition of structured … Read more