AWSML

We’re excited to announce the release of SageMaker Core, a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. This new SDK streamlines data processing, training, and inference and features resource chaining, intelligent defaults, and enhanced logging capabilities. With SageMaker Core, managing ML workloads on … Read more

Amazon SageMaker Ground Truth is a powerful data labeling service offered by AWS that provides a comprehensive and scalable platform for labeling various types of data, including text, images, videos, and 3D point clouds, using a diverse workforce of human annotators. In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative … Read more

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer … Read more

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. They orchestrate and analyze the tasks and break them down into the correct logical sequences using the reasoning abilities of the foundation model (FM). Agents automatically call the necessary APIs to interact with the company systems and … Read more

Modern organizations increasingly depend on robust cloud infrastructure to provide business continuity and operational efficiency. Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. Inefficiencies in handling these events can lead to unplanned downtime, unnecessary costs, and revenue loss for organizations. However, managing … Read more

This post is cowritten with Ethan Handel and Zhiyuan He from Indeed.com. Indeed is the world’s #1 job site¹ and a leading global job matching and hiring marketplace. Our mission is to help people get jobs. At Indeed, we serve over 350 million global Unique Visitors  monthly² across more than 60 countries, powering millions of … Read more

Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based workflows with the help of large language models (LLMs) as their reasoning engine. These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and … Read more

Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes. Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. Generative AI solutions often use Retrieval Augmented Generation (RAG) architectures, which augment … Read more

Amazon Q Business recently added support for administrators to modify the default access control list (ACL) crawling feature for data source connectors. Amazon Q Business is a fully managed, AI powered assistant with enterprise-grade security and privacy features. It includes over 40 data source connectors that crawl and index documents. By default, Amazon Q Business … Read more

SK Telecom (SKT), South Korea’s leading telecommunications company serving 30 million customers, is at the forefront of AI innovation. In line with its AI Pyramid Strategy, which aims to unlock AI’s potential for anyone, anywhere, anytime, SKT has collaborated with the AWS Generative AI Innovation Center (GenAIIC) Custom Model Program to explore domain-trained models using … Read more

Amazon Rufus is a shopping assistant experience powered by generative AI. It generates answers using relevant information from across Amazon and the web to help Amazon customers make better, more informed shopping decisions. With Rufus, customers can shop alongside a generative AI-powered expert that knows Amazon’s selection inside and out, and can bring it all … Read more

Amazon Lookout for Vision, the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. New customers will not be able to access the service effective October 10, 2024, but existing customers will be able to use the service … Read more

Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories, including Amazon Simple Storage Service (Amazon S3), Salesforce, Google Drive, Microsoft … Read more

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as … Read more

This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models (LLMs) is the first step in developing powerful AI systems that can understand and generate human-like text. By exposing models to vast amounts of diverse data, pre-training lays the groundwork for LLMs to learn general language patterns, world knowledge, and … Read more

Time series forecasting is a critical component in various industries for making informed decisions by predicting future values of time-dependent data. A time series is a sequence of data points recorded at regular time intervals, such as daily sales revenue, hourly temperature readings, or weekly stock market prices. These forecasts are pivotal for anticipating trends … Read more

In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Onboarding new customers in the banking industry is a crucial step in the customer journey, involving a series of activities designed to fulfill know your customer (KYC) requirements, … Read more

Despite the proliferation of information and data in business environments, employees and stakeholders often find themselves searching for information and struggling to get their questions answered quickly and efficiently. This can lead to productivity losses, frustration, and delays in decision-making. A generative AI Slack chat assistant can help address these challenges by providing a readily … Read more

In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. Agents can interact with users, perform tasks, and exhibit decision-making abilities, mimicking humanlike intelligence. By combining agents with foundation models (FMs) from the Amazon Titan in Amazon Bedrock family, customers can … Read more

This post is co-written with Dean Steel and Simon Gatie from Aviva. With a presence in 16 countries and serving over 33 million customers, Aviva is a leading insurance company headquartered in London, UK. With a history dating back to 1696, Aviva is one of the oldest and most established financial services organizations in the … Read more

This post is co-written with Ike Bennion from Visier. Visier’s mission is rooted in the belief that people are the most valuable asset of every organization and that optimizing their potential requires a nuanced understanding of workforce dynamics. Paycor is an example of the many world-leading enterprise people analytics companies that trust and use the … Read more

Generative AI models can produce information on a wide range of topics, but their application brings new challenges. These include maintaining relevance, avoiding toxic content, protecting sensitive information like personally identifiable information (PII), and mitigating hallucinations. Although foundation models (FMs) on Amazon Bedrock offer built-in protections, these are often model-specific and might not fully align … Read more

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Adrian Boeh, Senior Data Scientist – NAM AI, from Schneider Electric. Schneider Electric is a global leader in the digital transformation of energy management and automation. The company specializes in providing integrated solutions that make energy … Read more

Large enterprises are building strategies to harness the power of generative AI across their organizations. However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we … Read more

Personalization can improve the user experience of shopping, entertainment, and news sites by using our past behavior to recommend the products and content that best match our interests. You can also apply personalization to conversational interactions with an AI-powered assistant. For example, an AI assistant for employee onboarding could use what it knows about an … Read more

Building intelligent agents that can accurately understand and respond to user queries is a complex undertaking that requires careful planning and execution across multiple stages. Whether you are developing a customer service chatbot or a virtual assistant, there are numerous considerations to keep in mind, from defining the agent’s scope and capabilities to architecting a … Read more

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. This accelerated innovation is enabling organizations of all sizes, from disruptive AI startups like Hugging Face, AI21 Labs, and Articul8 AI to industry … Read more

At Amazon and AWS, we are always finding innovative ways to build inclusive technology. With voice assistants like Amazon Alexa, we are enabling more people to ask questions and get answers on the spot without having to type. Whether you’re a person with a motor disability, juggling multiple tasks, or simply away from your computer, … Read more

Amazon Monitron, the Amazon Web Services (AWS) machine learning (ML) service for industrial equipment condition monitoring, will no longer be available to new customers effective October 31, 2024. Existing customers of Amazon Monitron will be able to purchase devices and use the service as normal. We will continue to sell devices until July 2025 and … Read more

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Common … Read more