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Browsing: Artificial Intelligence (AI) News
Amazon Bedrock is a fully managed service that provides a selection of high-performance foundational models (FM) from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta,…
Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch
This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the…
Build a video insights and summarization engine using generative AI with Amazon Bedrock
Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. These meetings…
Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain…
Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas
In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and…
Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. Examples include financial systems processing…
How Planview used Amazon Bedrock to build a scalable AI assistant for portfolio and project management
This post was co-authored with Lee Rehwinkel of Planview. Businesses today face numerous challenges in managing complex projects and programs, extracting valuable insights from large amounts…
In this post, you set up an agent to act as a software application builder assistant using Amazon Bedrock Agents. Agenttic workflows are a new perspective…
Power your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas.
Machine learning (ML) helps organizations increase revenue by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, and…
Large-scale language models (LLMs) are very large deep learning models that are pre-trained on vast amounts of data. LLMs are very flexible. One model can perform…