Google Cloud
@googlecloud · joined 22 Jan 2009
Welcome to the new way to cloud. Qs? ➡️ https://t.co/BFKBu3t6xk For do-ers & makers ➡️ @GoogleCloudTech Find a #BuildwithGemini event near you ⬇️
570 559Followers
746Following
20 514Posts total
193.8KViews on collected posts
Posts recentes
Procurando novos posts…
Albertsons Companies unified its global inventory and supply chain data with BigQuery, streamlining operations across more than 2,200 stores.
+ the retailer deployed Gemini Enterprise Agent Platform and Vision AI to automate product quality inspections and standardize recipes ↓
2.7K views · 19 likes
· 3 reposts · 0 replies
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3:08
What if video editors could spend less time hunting down clips and more time telling great stories?
We're expanding our partnership with Avid to make post-production faster, smarter, and accessible from anywhere.
Read more about our partnership → https://t.co/H4k6weAdiO https:/
5.2K views · 43 likes
· 2 reposts · 4 replies
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Introducing the Accenture Gemini Enterprise Business Group!
Read more about this new global group—designed to help clients scale Gemini Enterprise outcomes in the agentic AI era → https://t.co/Fni0oP1NAx https://t.co/mPjM9ZRKYg
15K views · 106 likes
· 25 reposts · 8 replies
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Google has been named a Leader in the inaugural 2026 @Gartner_inc® Magic Quadrant™ for Enterprise AI Assistants.
We see this Gartner recognition as strong validation of our strategy and vision for Gemini Enterprise.
Learn more → https://t.co/6NUodE3xwo https://t.co/QHCIMvnwEV
12.4K views · 97 likes
· 11 reposts · 5 replies
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Build stateful, production-grade AI agent networks with Gemini Enterprise Agent Platform and @antigravity.
This hands-on, 4-part live technical series covers programmatic logic with ADK, long-term state management, and secure deployment on Google Cloud → https://t.co/cGNrJe85IR
2.8K views · 25 likes
· 8 reposts · 3 replies
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When Best Buy scaled its use of AI on Google Cloud, it faced admin friction from syncing thousands of users from Microsoft Entra ID.
Learn how the retailer streamlined secure developer access with Workforce Identity Federation → https://t.co/jlsboKP50G https://t.co/wtL28EnGgZ
7.2K views · 34 likes
· 4 reposts · 2 replies
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Gemini Enterprise for Legal includes an open ecosystem that extends its capabilities with specialized agents like @Deloitte Legal Assist, bringing deep legal experience to a platform with centralized governance and control.
Learn more → https://t.co/ILqooNMurE https://t.co/BIYXA
5.9K views · 33 likes
· 7 reposts · 1 replies
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Using Gemini models, BigQuery, Pub/Sub, and Gemini Enterprise Agent Platform, Virgin Media O2 built a new multi-agent system that provides real-time insights for customer service agents—driving a 9.2% reduction in call handling time and a 26% boost in its Net Promoter Score ↓ htt
10.3K views · 55 likes
· 13 reposts · 1 replies
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Dynamic capacity management (noun): scheduling and utilization strategies to help you build and scale modern apps and agents economically on a single, flexible platform.
Here are 3 ways to implement dynamic capacity management → https://t.co/WMOnHX5Ca7 https://t.co/oRn6j5bkRh
1.8K views · 7 likes
· 1 reposts · 1 replies
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Create custom agents without writing any code using Gemini Enterprise.
Watch this demo to learn how easy it is to set up a no-code agentic workflow with Agent Designer and securely connect your business data, while staying in control → https://t.co/LUxuuRBlTA https://t.co/TTzGl
3.5K views · 15 likes
· 5 reposts · 0 replies
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Use the new Workflow Builder in Gemini Enterprise to create an agent using natural language.
The conversational assistant lets you describe what you need in plain English and automatically generates a complete agentic workflow with no coding required → https://t.co/v1UWHSv7BD h
8.5K views · 68 likes
· 9 reposts · 2 replies
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Google was named a Leader in the @Gartner_inc Magic Quadrant™ for Strategic Cloud Platform Services!
We believe this recognition reflects our dedication to helping you build and scale your most demanding workloads reliably and securely on Google Cloud → https://t.co/5jOO1vGb7O h
8.9K views · 60 likes
· 16 reposts · 4 replies
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@googlecloud @satishthomas What stands out is the move from general-purpose AI to agents built around real financial workflows.
Connecting trusted data, specialized skills, and the tools teams already use is what makes enterprise adoption much more practical.
15 views · 0 likes
· 0 reposts · 0 replies
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@googlecloud @satishthomas Moving away from general purpose AI is the only way regulated sectors can actually deploy these tools. Keeping enterprise files out of the base models solves the biggest compliance hurdle.
23 views · 0 likes
· 0 reposts · 0 replies
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@googlecloud @satishthomas Industry-specific AI should be judged on more than domain vocabulary. The durable test is whether evaluation, permissions, audit trails, and exception handling reflect the industry's actual operating constraints.
28 views · 0 likes
· 0 reposts · 0 replies
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Every industry runs on specialized workflows, regulatory demands, and unique domain knowledge. That's why Gemini Enterprise is now purpose-built for your industry.
Hear from @satishthomas on the future of work ↓ https://t.co/YHGnnvXKQN
10.3K views · 51 likes
· 13 reposts · 3 replies
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Weil, Gotshal & Manges LLP is integrating Gemini Enterprise across its practice areas, helping over 1,200 lawyers work more efficiently on complex legal matters while protecting client confidentiality.
Learn more → https://t.co/zmxO21FIOy https://t.co/7MM0uJ3xKM
7.8K views · 31 likes
· 8 reposts · 3 replies
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Struggling to describe your interior style to a search bar?
The UK's leading home furnishings retailer, Dunelm, built a conversational ‘Shopping Agent’ to serve as your digital concierge, powered by Gemini Enterprise.
See how Dunelm is redefining retail AI ↓ https://t.co/A8mF
8.7K views · 47 likes
· 6 reposts · 7 replies
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@googlecloud It looks like Gemini is flipping us the middle finger but ok https://t.co/s107V0O2Dx
699 views · 1 likes
· 0 reposts · 1 replies
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@googlecloud The useful benchmark isn’t the launch; it’s workflow impact. My test: by Dec. 31, one launch partner reports ≥30% faster contract review, regulatory monitoring, credit analysis or reconciliation. Outcome + source + cutoff makes the claim auditable.
70 views · 2 likes
· 0 reposts · 0 replies
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@googlecloud AI is getting increasingly specialized 👀🔥 Financial services and legal work both demand far more than generic answers, domain-specific workflows, context, and accuracy are where enterprise AI can really prove its value. 🤖📊⚖️
126 views · 1 likes
· 0 reposts · 0 replies
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Introducing our new suite of purpose-built industry solutions:
1. Gemini Enterprise for Financial Services → https://t.co/LSOfcV14Hu
2. Gemini Enterprise for Legal → https://t.co/aKGf2axMbk
Learn how these solutions unlock high-value workflows with domain-specific skills. http
81.9K views · 557 likes
· 128 reposts · 29 replies
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0:42
Em comparação com contas do mesmo porte
22 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. alcança menos gente do que contas do mesmo porte.
Mediana de visualizações5 591esta conta5 983mediana para 100K–1M
Alcance, %0.98%esta conta1.49%mediana para 100K–1M
Engajamento, %0.70%esta conta0.93%mediana para 100K–1M
| Métrica | Esta conta | Mediana para 100K–1M | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 5 591 | 5 983 | 0.93× |
| Alcance (visualizações ÷ seguidores) | 0.98% | 1.49% | 0.66× |
| Taxa de engajamento | 0.70% | 0.93% | 0.75× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
232 Sep
153 Sep
8.9K
8.5K4 Sep
3.5K
1.8K
10.3K5 Sep
5.9K
7.2K
2.8K
12.4K9 Sep
15K10 Sep
5.2K12 Sep
2.7K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.00%2 Sep
0.00%3 Sep
0.94%
0.93%4 Sep
0.58%
0.51%
0.69%5 Sep
0.71%
0.55%
1.27%
0.91%9 Sep
0.93%10 Sep
0.93%12 Sep
0.81%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes61.8%1 252 in total
Reposts12.8%259 in total
Replies3.7%74 in total
Quotes1.3%27 in total
Bookmarks20.5%415 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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