Machine Learning

This post is co-written with Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith, and Michelle Stahl from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across more than 20 countries, Verisk helps build resilience for individuals, … Read more

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a range of outcomes. Though these models … Read more

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. Administrators can use SageMaker HyperPod task governance to govern allocation of accelerated compute … Read more

Formula 1® (F1) races are high-stakes affairs where operational efficiency is paramount. During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and … Read more

Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed in traffic crashes, with an average … Read more

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of foundation models (FMs) to break down … Read more

In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use them to add functionality such as zero-shot classification and semantic search. We then use Amazon Bedrock and language embeddings to add these features to a really simple syndication (RSS) aggregator application. Amazon Bedrock is a … Read more

There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary. Amazon Bedrock provides you with the … Read more

This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Trained on broad, generic datasets spanning a wide range of topics and domains, LLMs use their parametric knowledge to … Read more

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process. This approach allows organizations to … Read more

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. However, the journey from a proof of concept to a production-ready application comes with challenges and opportunities. Moving from proof of concept to production is about creating scalable, reliable, and impactful solutions that can drive … Read more

This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. This cutting-edge model … Read more

Today, we are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI. Overview of the Falcon 3 family of models The Falcon 3 family, developed by Technology Innovation Institute (TII) in … Read more

The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how to create an AI-powered virtual meteorologist … Read more

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems. Large-scale data ingestion is crucial for … Read more

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of … Read more

This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.  The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. Making credit decisions using AI can be challenging, requiring … Read more

AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, and more than half plan to use them in the next year. The recent release … Read more

Evolphin Software, Inc. is a leading provider of digital and media asset management solutions based in Silicon Valley, California. Crop.photo from Evolphin Software is a cloud-based service that offers powerful bulk processing tools for automating image cropping, content resizing, background removal, and listing image analysis. Crop.photo is tailored for high-end retailers, ecommerce platforms, and sports … Read more

This blog post is co-written with Louis Prensky and Philip Kang from Appian.  The digital transformation wave has compelled enterprises to seek innovative solutions to streamline operations, enhance efficiency, and maintain a competitive edge. Recognizing the growing complexity of business processes and the increasing demand for automation, the integration of generative AI skills into environments … Read more

Data science teams often face challenges when transitioning models from the development environment to production. These include difficulties integrating data science team’s models into the IT team’s production environment, the need to retrofit data science code to meet enterprise security and governance standards, gaining access to production grade data, and maintaining repeatability and reproducibility in … Read more

Whether you’re a small or medium-sized business (SMB) or a managed service provider at the beginning of your cloud journey, you might be wondering how to get started. Questions like “Am I following best practices?”, “Am I optimizing my cloud costs?”, and “How difficult is the learning curve?” are quite common. AWS is here to … Read more

This is a guest post co-written with Tim Krause, Lead MLOps Architect at CONXAI. CONXAI Technology GmbH is pioneering the development of an advanced AI platform for the Architecture, Engineering, and Construction (AEC) industry. Our platform uses advanced AI to empower construction domain experts to create complex use cases efficiently. Construction sites typically employ multiple … Read more

Untold Studios is a tech-driven, leading creative studio specializing in high-end visual effects and animation. Our commitment to innovation led us to a pivotal challenge: how to harness the power of machine learning (ML) to further enhance our competitive edge while balancing this technological advancement with strict data security requirements and the need to streamline … Read more

The rapid advancement of generative AI has brought powerful publicly available large language models (LLMs), such as DeepSeek-R1, to the forefront of innovation. The DeepSeek-R1 models are now accessible through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, and distilled variants are available through Amazon Bedrock Custom Model Import. According to DeepSeek AI, these models offer … Read more

Building upon a previous Machine Learning Blog post to create personalized avatars by fine-tuning and hosting the Stable Diffusion 2.1 model at scale using Amazon SageMaker, this post takes the journey a step further. As technology continues to evolve, newer models are emerging, offering higher quality, increased flexibility, and faster image generation capabilities. One such … Read more

This post is co-written with Javier Beltrán, Ornela Xhelili, and Prasidh Chhabri from Aetion.  For decision-makers in healthcare, it is critical to gain a comprehensive understanding of patient journeys and health outcomes over time. Scientists, epidemiologists, and biostatisticians implement a vast range of queries to capture complex, clinically relevant patient variables from real-world data. These … Read more

This post is co-written with Martin Holste from Trellix.  Security teams are dealing with an evolving universe of cybersecurity threats. These threats are expanding in form factor, sophistication, and the attack surface they target. Constrained by talent and budget limitations, teams are often forced to prioritize the events pursued for investigation, limiting the ability to … Read more

This post is co-written with Andrés Vélez Echeveri and Sean Azlin from OfferUp. OfferUp is an online, mobile-first marketplace designed to facilitate local transactions and discovery. Known for its user-friendly app and trust-building features, including user ratings and in-app chat, OfferUp enables users to buy and sell items and explore a broad range of jobs … Read more

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. Many businesses are investigating how AI can enhance customer engagement and service delivery, and facing challenges in making sure LLMs driven engagements are on topic and follow the desired instructions. In this blog … Read more