approach to generative AI
summary
Google Cloud rolls out Gemini 1.5 Pro with a 1 million token context that ingests hour‑long video and audio for reasoning, plus Imagen outpainting and live image animation; customers put these models into production to analyze 200+ contracts at once, modernize legacy database code, and power phone features used by tens of millions. Google pairs decade‑old TPU hardware and choice of third‑party or open models with Vertex AI agents that can be grounded in private data and deployed to a website in about a minute.
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chapters (8)
- 0:00Meet Warren
- 0:42Standout Gen AI features
- 2:10Real world impacts of Gen AI
- 3:35How is Google approaching Gen AI?
- 5:17Customer success stories
- 7:37What sets Google’s AI apart from the competition?
- 9:18How simple is it to adopt AI in Google Cloud?
- 10:09Wrap up
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39mBuild the new generation of AI Agents
08mAI-Powered transformation: Driving innovation and reshaping organizations
01h 45mAI Engineering with the Google Gemini 2.5 Model Family
18mIntroduction to Gemini APIs and AI Studio
20mA fireside chat
17mUnlock the power of Generative AI: From understanding its principles to utilizing its power
23mScaling GenAI Applications and Agentic AI for Business Competitive Differentiation
21mHow Google DeepMind is researching the next Frontier of AI for Gemini