『本件は 招待制の クローズド 勉強会と なっております』
セマンティック概論 - #GoogleCloudNext '26 Recap by @Kazaneya_PR / 20260604 https://speakerdeck.com/kazaneya/20260604
『本件は 招待制の クローズド 勉強会と なっております』
セマンティック概論 - #GoogleCloudNext '26 Recap by @Kazaneya_PR / 20260604 https://speakerdeck.com/kazaneya/20260604
【登壇レポート】Google Cloud Next’26 Recap に「Cloud Run のアップデート 触ってみる&紹介」というタイトルで登壇しました #GoogleCloudNext
https://dev.classmethod.jp/articles/google-cloud-next-26-recap-cloud-run-updates/
Cloud Run のエフェメラルディスク機能を使ってみる #GoogleCloudNext
https://dev.classmethod.jp/articles/google-cloud-next-cloud-run-ephemeral-disk/
Cloud Run の公式リモートMCPサーバーを使ってみる #GoogleCloudNext
https://dev.classmethod.jp/articles/google-cloud-next-cloud-run-remote-mcp-server/
NVIDIA RTX PRO 6000 Blackwell で Gemma4 を動かしてみる #GoogleCloudNext
https://dev.classmethod.jp/articles/26-next-vegas-rtx-pro-6000-blackwell-gemma4/
Nice example of #ai calls in databases:
In a shop frontend, the select is
> Select... <rate item from 0-10 with regards to xyz via llm> as rating
....
Order by rating desc
That's one LLM call per product, per user query 😱 💶 - This must really cause some upselling! 😉
But okay, got the example.
One day at #Google Munich for the new services from Google.
Lot's of new stuff. But one thing that I see throughout the industry is that so many #aiagents examples don't require AI but are pure automation.
Also interesting to see that AI services can be called directly in #bigquery... But thinking about the #aiact and respective #governance, this means that a lot of applicants should appear in the company's ai register. 😕
Not a hot topic, but subject to more scanning of the query log. And.. Automation. Of course with an agent 😉
[セッションレポート] 実践的なマルチクラウドネットワーキングの戦略 #GoogleCloudNext
https://dev.classmethod.jp/articles/26-next-vegas-session-multi-cloud-networking/
[登壇資料] Anthropic「Long-running agents」を Google ADK + Gemini 3.1 Pro で再現してみた #GoogleCloudNext
https://dev.classmethod.jp/articles/gcnext-anthropic-long-running-agents-adk-gemini/
Google의 AI 전략 전환, Vertex AI가 에이전트 플랫폼으로 흡수된 이유
Google이 Vertex AI를 Gemini Enterprise Agent Platform으로 전면 재편했습니다. 모델 API 중심에서 에이전트 운영 중심으로의 전략 전환, 그 이유와 핵심 기능을 정리합니다.