Automating competitive price intelligence with Amazon Nova Act

Favorite Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual websites. This inefficient approach delays decision-making, raises operational costs, and risks human errors that result in missed revenue and lost opportunities. Amazon Nova

Read More
Shared by AWS Machine Learning April 1, 2026

Can your governance keep pace with your AI ambitions? AI risk intelligence in the agentic era

Favorite DevOps used to be predictable: same input, same output, binary success, static dependencies, concrete metrics. You could control what you could predict, measure what was concrete, and secure what followed known patterns. Then agentic AI arrived, and everything changed. Agents operate non-deterministically; they don’t follow fixed patterns. Ask the

Read More
Shared by AWS Machine Learning March 31, 2026

Accelerating software delivery with agentic QA automation using Amazon Nova Act

Favorite Quality assurance (QA) automation is critical for modern software delivery. It catches regressions before production, validates user journeys at scale, and enables confident feature releases. But traditional QA automation solutions are brittle and demand specialized programming knowledge, decelerating software delivery. Automation frameworks rely on implementation details including UI selectors,

Read More
Shared by AWS Machine Learning March 31, 2026

Building an AI powered system for compliance evidence collection

Favorite Compliance audits require comprehensive evidence trails, often involving hundreds of screenshots across multiple systems. Your compliance teams likely spend hours manually navigating through GitHub repositories, AWS consoles, and internal applications, capturing screenshots at each step. This manual process is time-consuming, error-prone, and difficult to reproduce consistently across audit cycles.

Read More
Shared by AWS Machine Learning March 31, 2026

Build a FinOps agent using Amazon Bedrock AgentCore

Favorite Managing costs across multiple AWS accounts often requires finance teams to query data from several sources to get a complete view of spending and optimization opportunities. In this post, you learn how to build a FinOps agent using Amazon Bedrock AgentCore that helps your finance team manage AWS costs across

Read More
Shared by AWS Machine Learning March 31, 2026

Deliver hyper-personalized viewer experiences with an agentic AI movie assistant using Amazon Bedrock AgentCore and Amazon Nova Sonic 2.0

Favorite Deliver hyperpersonalized viewer experiences with an agentic AI movie assistant using Amazon Nova Sonic 2.0Recommendation systems are the backbone of modern media streaming services, shaping how users discover content. Traditional machine learning (ML) systems use collaborative or content-based filtering to predict content preferences. However, they often miss context-dependent needs,

Read More
Shared by AWS Machine Learning March 30, 2026

Build a solar flare detection system on SageMaker AI LSTM networks and ESA STIX data

Favorite The effective monitoring and characterization of solar flares demands sophisticated analysis of X-ray emissions across multiple energy spectrums. Machine learning-based anomaly detection serves as a powerful tool for identifying significant patterns that could indicate notable solar activity. Through the identification of distinct radiation signatures, key solar event characteristics can

Read More
Shared by AWS Machine Learning March 30, 2026

Reimagine marketing at Volkswagen Group with generative AI

Favorite This post is cowritten by  Sebastian Angersbach, Philip Trempler, and Weiran Zhang from Volkswagen Group. Volkswagen Group stands as one of the world’s largest automotive manufacturers, delivering 6.6 million vehicles in the first nine months of 2025. The Group comprises ten distinct brands from five European countries: Volkswagen, Volkswagen

Read More
Shared by AWS Machine Learning March 30, 2026