What's changed: Created Generative AI Leader Chapter 2 (Domain 2 "Google Cloud's generative AI offerings": Gemini and models/Vertex AI = Gemini/Imagen/Veo/Chirp/Model Garden/Vertex AI/Vertex AI Studio; gen AI embedded in work = Gemini for Workspace/Gemini for Google Cloud/NotebookLM/Conversational Agents (Customer Engagement Suite); agents and grounding = agentic AI/Vertex AI Agent Builder/Grounding/AI infrastructure (TPU/GPU)).
2.2Generative AI embedded in work
Understand generative AI solutions you embed directly into work: Gemini in Google Workspace (drafting documents, email, meetings), Gemini for Google Cloud for development and operations, NotebookLM for research and summarization, and the Customer Engagement Suite / Conversational Agents (CCAI) for automating customer service.
Generative AI delivers value only when embedded into daily work. Google Cloud offers "ready-embedded" generative AI usable without expertise, tailored to scenarios like productivity, development, and customer service.
2.2.1Productivity and development assistance
Gemini for Google Workspace embeds Gemini into Docs, Gmail, Sheets, Slides, Meet, and more to assist with drafting documents, writing email, summarizing, and meeting notes. For development and operations, Gemini for Google Cloud provides code completion and explanation and assists cloud operations (e.g., troubleshooting advice). NotebookLM is a research aid that summarizes, answers questions, and organizes based on sources you provide, returning answers grounded in those sources.
2.2.2Automating customer service
For customer service, Conversational Agents in the Customer Engagement Suite (the former Contact Center AI family) build natural-language chatbots/voicebots to automate inquiries. They can also assist human agents (suggesting replies, summarizing). From the Generative AI Leader perspective, what matters is that these "deliver value quickly in existing work even without AI specialists in-house."
Common: scenario → solution. E.g., "assist documents/email in Docs/Gmail" = Gemini for Google Workspace; "code completion and cloud-ops assistance" = Gemini for Google Cloud; "summarize/Q&A grounded in provided sources" = NotebookLM; "natural-language chat/voice bots for customer service" = Conversational Agents (Customer Engagement Suite).
Watch the mix-ups: (1) Gemini for Workspace (productivity apps) vs Gemini for Google Cloud (dev/ops) target different things. (2) NotebookLM is grounded in the sources you give it (source-based, not a general chatbot). (3) Customer-service automation = Conversational Agents (Customer Engagement Suite).
2.2.3Section summary
- Gemini for Workspace = productivity in Docs/Gmail; Gemini for Google Cloud = dev/ops assistance
- NotebookLM = summarize/Q&A grounded in provided sources
- Conversational Agents (Customer Engagement Suite) = automate customer service
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Quick check
(just a quick review)Q1. Which is embedded in Docs, Gmail, Sheets, etc., to assist drafting documents, writing email, and summarizing?
Q2. Which assists development and operations, such as code completion and cloud-ops troubleshooting?
Q3. Which research aid summarizes and answers questions based on provided sources, returning source-grounded answers?
Q4. Which builds natural-language chatbots/voicebots to automate customer service?
Q5. Which best states a key benefit of using ready-embedded generative AI solutions?
Q6. Which best describes NotebookLM?