Tag: Gemini
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Cloud Blog: How ChromeOS propelled Korean Air’s digital transformation
Source URL: https://cloud.google.com/blog/products/chrome-enterprise/how-chromeos-propelled-korean-airs-digital-transformation/ Source: Cloud Blog Title: How ChromeOS propelled Korean Air’s digital transformation Feedly Summary: Editor’s note: Today’s post is by Choi HeeJung, Chief Information Officer for Korean Air, one of the world’s top 20 airlines, serving 117 cities across 40 countries on five continents. Renowned for its commitment to excellence and customer satisfaction,…
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Enterprise AI Trends: ChatGPT Agent Mode, and "Vibe Automations"
Source URL: https://nextword.substack.com/p/chatgpt-agent-mode-and-vibe-automations Source: Enterprise AI Trends Title: ChatGPT Agent Mode, and "Vibe Automations" Feedly Summary: OpenAI will eat AI automations AI Summary and Description: Yes Summary: The text discusses the release of OpenAI’s new Agent Mode feature in ChatGPT, which allows users to create virtual agents capable of performing complex, multi-step tasks autonomously. This…
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Cloud Blog: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting
Source URL: https://cloud.google.com/blog/products/management-tools/get-to-know-cloud-observability-application-monitoring/ Source: Cloud Blog Title: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting Feedly Summary: As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business…
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Tomasz Tunguz: Hidden Technical Debt in AI
Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…