Blog_dumb

Thomson Reuters, a global content and technology-driven company, has been using artificial intelligence and machine learning (AI/ML) in its professional information products for decades. The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and advance how they do their work, helping professionals draw insights and automate workflows, enabling them …

Scaling Thomson Reuters’ language model research with Amazon SageMaker HyperPod Read More »

New support from Google.org and Grow with Google aim to equip U.S. small businesses with AI tools, training and resources to grow.

Introducing DataGemma, the first open models designed to connect LLMs with extensive real-world data drawn from Google’s Data Commons.

We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod, a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development. FMs are typically …

Introducing Amazon EKS support in Amazon SageMaker HyperPod Read More »

Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionable insights from it. The financial …

A review of purpose-built accelerators for financial services Read More »

Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series data include sales revenue, system performance …

Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink Read More »

Technology operations (TechOps) refers to the set of processes and activities involved in managing and maintaining an organization’s IT infrastructure and services. There are several terminologies used with reference to managing information technology operations, including ITOps, SRE, AIOps, DevOps, and SysOps. For the context of this post, we refer to these terminologies as TechOps. This …

Generative AI-powered technology operations Read More »

Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. What is MLOps provides a detailed description of this concept. As ML workloads become increasingly complex and consume more energy and resources, a growing number of companies are looking for ways to manage both the costs …

Optimizing MLOps for Sustainability Read More »

NotebookLM is releasing Audio Overviews, which turns your sources into an engaging discussion.

In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock, while the second explored building custom generative AI applications with Amazon Bedrock. Now I’d like to take a closer look at Amazon Bedrock …

Enabling complex generative AI applications with Amazon Bedrock Agents Read More »