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
As AI agents are adopted at scale, developer teams can create dozens to hundreds of specialized Model Context Protocol (MCP) servers, tailored for specific agent use case and domain, organization functions or teams. Organizations also need to integrate their own existing MCP servers or open source MCP servers for their AI workflows. There is a … Read more
In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation. Machine … Read more
Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents securely at scale. Amazon Bedrock AgentCore Runtime is a fully managed service of Bedrock AgentCore, which provides low latency serverless environments to deploy agents and tools. It provides session isolation, supports multiple agent frameworks including popular open-source frameworks, and handles multimodal … Read more
In high-volume healthcare contact centers, every patient conversation carries both clinical and operational significance, making accurate real-time transcription necessary for automated workflows. Accurate, instant transcription enables intelligent automation without sacrificing clarity or care, so that teams can automate electronic medical record (EMR) record matching, streamline workflows, and eliminate manual data entry. By removing routine process … Read more
Enterprises in regulated industries often need mathematical certainty that every AI response complies with established policies and domain knowledge. Regulated industries can’t use traditional quality assurance methods that test only a statistical sample of AI outputs and make probabilistic assertions about compliance. When we launched Automated Reasoning checks in Amazon Bedrock Guardrails in preview at … Read more
In 2024, we launched the Custom Model Program within the AWS Generative AI Innovation Center to provide comprehensive support throughout every stage of model customization and optimization. Over the past two years, this program has delivered exceptional results by partnering with global enterprises and startups across diverse industries—including legal, financial services, healthcare and life sciences, … Read more
This post was co-written with Kim Nguyen and Shyam Banuprakash from Clario. Clario is a leading provider of endpoint data solutions for systematic collection, management, and analysis of specific, predefined outcomes (endpoints) to evaluate a treatment’s safety and effectiveness in the clinical trials industry, generating high-quality clinical evidence for life sciences companies seeking to bring … Read more
こんにちは, G’day. The recent launch of Anthropic’s Claude Sonnet 4.5 and Claude Haiku 4.5, now available on Amazon Bedrock, marks a significant leap forward in generative AI models. These state-of-the-art models excel at complex agentic tasks, coding, and enterprise workloads, offering enhanced capabilities to developers. Along with the new models, we are thrilled to announce that … Read more
AI agents need to browse the web on your behalf. When your agent visits a website to gather information, complete a form, or verify data, it encounters the same defenses designed to stop unwanted bots: CAPTCHAs, rate limits, and outright blocks. Today, we are excited to share that AWS has a solution. Amazon Bedrock AgentCore … Read more
This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi for their collaboration. Organizations today face the challenge of processing large volumes of audio data–from customer calls and meeting recordings to podcasts and voice messages–to unlock valuable insights. Automatic Speech Recognition (ASR) is a critical … Read more
Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to better health outcomes. For example, a … Read more
The era of perpetual AI pilots is over. This year, 65% of AWS Generative AI Innovation Center customer projects moved from concept to production—some launching in just 45 days, as AWS VP Swami Sivasubramanian shared on LinkedIn. These results come from insights gained across more than one thousand customer implementations. The Generative AI Innovation Center … Read more
Graph databases have revolutionized how organizations manage complex, interconnected data. However, specialized query languages such as Gremlin often create a barrier for teams looking to extract insights efficiently. Unlike traditional relational databases with well-defined schemas, graph databases lack a centralized schema, requiring deep technical expertise for effective querying. To address this challenge, we explore an … Read more
Over the past two years, companies have seen an increasing need to develop a project prioritization methodology for generative AI. There is no shortage of generative AI use cases to consider. Rather, companies want to evaluate the business value against the cost, level of effort, and other concerns, for a large number of potential generative … Read more
Creative teams and product developers are constantly seeking ways to streamline their workflows and reduce time to market while maintaining quality and brand consistency. This post demonstrates how to use AWS services, particularly Amazon Bedrock, to transform your creative processes through generative AI. You can implement a secure, scalable solution that accelerates your creative workflow, … Read more
In Part 1 of our series, we introduced a proactive cost management solution for Amazon Bedrock, featuring a robust cost sentry mechanism designed to enforce real-time token usage limits. We explored the core architecture, token tracking strategies, and initial budget enforcement techniques that help organizations control their generative AI expenses. Building upon that foundation, this … Read more
As organizations embrace generative AI powered by Amazon Bedrock, they face the challenge of managing costs associated with the token-based pricing model. Amazon Bedrock offers a pay-as-you-go pricing structure that can potentially lead to unexpected and excessive bills if usage is not carefully monitored. Traditional methods of cost monitoring, such as budget alerts and cost … Read more