Tag: ai/ml

Welcome to the first Cloud CISO Perspectives for July 2025. Today, Sandra Joyce, vice president, Google Threat Intelligence, talks about an incredible milestone with our Big Sleep AI agent, as well as other news from the intersection of security and AI. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to …

Read more “Cloud CISO Perspectives: Our Big Sleep agent makes a big leap, and other AI news”

This post was written with Ilan Geller, Kamal Mannar, Debasmita Ghosh, and Nakul Aggarwal of Accenture. Video highlights offer a powerful way to boost audience engagement and extend content value for content publishers. These short, high-impact clips capture key moments that drive viewer retention, amplify reach across social media, reinforce brand identity, and open new …

Read more “Accenture scales video analysis with Amazon Nova and Amazon Bedrock Agents”

In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in Vertex AI Model Garden. Following the addition of Llama 4 models earlier this year, we are announcing DeepSeek R1 is available for everyone …

Read more “Build with more flexibility: New open models arrive in the Vertex AI Model Garden”

Amazon Bedrock Knowledge Bases has extended its vector store options by enabling support for Amazon OpenSearch Service managed clusters, further strengthening its capabilities as a fully managed Retrieval Augmented Generation (RAG) solution. This enhancement builds on the core functionality of Amazon Bedrock Knowledge Bases , which is designed to seamlessly connect foundation models (FMs) with …

Read more “Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Service Managed Cluster as vector store”

Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post, we’ll show you how to create and retrieve embeddings with a few lines of Dataflow ML code to enable both of these …

Read more “How to enable real time semantic search and RAG applications with Dataflow ML”

Vehicle data is critical for original equipment manufacturers (OEMs) to drive continuous product innovation and performance improvements and to support new value-added services. Similarly, the increasing digitalization of vehicle architectures and adoption of software-configurable functions allow OEMs to add new features and capabilities efficiently. Sonatus’s Collector AI and Automator AI products address these two aspects …

Read more “Build AI-driven policy creation for vehicle data collection and automation using Amazon Bedrock”